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http://www.voxy.co.nz/business/5/372341 | 2020-09-01T00:00:00 | en | 'Vodafone NZ signs strategic partnership to bring AI into contact centre solutions' | Voxy.co.nz |
'Vodafone NZ signs strategic partnership to bring AI into contact centre solutions' | Voxy.co.nz
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'Vodafone NZ signs strategic partnership to bring AI into contact centre solutions'
Home › Business
Contributor:Fuseworks Media
Tuesday, 1 September, 2020 - 12:29
Partnership with Convai launches Vodafone Voice Concierge, an intelligent contact centre solution reducing call waiting times and improving customer experiences
Tuesday 1 September 2020
An exclusive partnership between Vodafone New Zealand and Convai, a Probe Group company and specialists in intelligent contact centre solutions, has resulted in the launch of Vodafone Voice Concierge, a solution improving both the customer experience and efficiency of business call centres.
Using artificial intelligence (AI), machine learning, and advanced speech recognition, Vodafone Voice Concierge responds to a customer call, analyses the customer request and directs the call to the appropriate outcome, whether that be to talk to a call centre agent or a self-serve option. Convai estimates the solution reduces the average call time by 15 - 30 seconds.
Lindsay Zwart, Vodafone Business Director, says that the cloud-based solution is designed for businesses of all sizes and is already integrated into Vodafone’s Contact Centre portfolio of products, including its recently released Vodafone Connect (powered by AWS) and Genesys Cloud contact centre platforms.
"Businesses with smaller contact centre needs can now enjoy the immediacy of an intelligent next-generation solution that can be up and running within two to three days," she says.
"The intuitive and simple-to-use system can be plugged straight into a unified communications system, such as Vodafone One Business or Teams Connect, providing an end-to-end solution that can be operated without the need of technical expertise. For larger enterprises with more complex contact centre requirements, including those with on-premise deployments, Vodafone Voice Concierge can also be tailored into a bespoke solution that can be managed either internally or by our expert teams."
Group CEO of Probe Group Andrew Hume says the solution’s advanced speech interpretation and AI-driven call routing means the system can understand caller intent and respond accordingly, handling large volumes of calls easily.
"At the heart of Vodafone Voice Concierge is a powerful voice interpretation function that turns the conversation into text and assigns the call to a topic for the contact centre agent to view. The agent can see both the intent of the call and the caller’s full language before even speaking with the caller, turning it into a more positive experience for all," he says.
"The advanced interpretation enables insightful reporting, meaning managers can view the top reasons their customers are calling them at any given time, leading to faster issue resolution and response to recurring queries."
Vodafone Voice Concierge builds on previous technology implementations Vodafone and Probe Group have delivered together over the last decade to some of New Zealand’s largest and most complex contact centres. These solutions, used in the likes of government and financial institutions, include functionality such as full natural language routing, voice biometric identification and dozens of self-service modules.
"Vodafone Voice Concierge finally enables us to deliver the high end sophistication in a way that can be consumed by all," says Hume.
One of the country’s leading banks, Bank of New Zealand, has been using a similar Vodafone and Probe Group solution in their contact centre for years. BNZ GM of Customer Connection Hubs, Bridgette Dalzell says "The biometric identification tools mean that customers calling us can quickly and securely verify who they are, without lots of questions or complex passwords. The introduction of open speech navigation means customers can direct where their call will go and reach the right person the first time simply by saying what they want to do."
Exclusive to Vodafone New Zealand, business customers can trial the entry-level Vodafone Voice Concierge for free for 30 days. To take advantage of the trial or for more information get in touch with the Vodafone Business sales team on 0800 888 305 or through www.vodafone.co.nz/business.
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| 'Vodafone NZ signs strategic partnership to bring AI into contact centre solutions' | Vodafone NZ signs strategic partnership bring AI contact centre solutions .nz Recommended NZ Guide Money Gimme: Competitions Giveaways [ login create account ] Blogs Politics Business National Sport Entertainment Lifestyle Health Tech MobileBroadbandHot Topics IndexReserve BankForeign ExchangeTax Vodafone NZ signs strategic partnership bring AI contact centre solutions Home Business Contributor:Fuseworks Media Tuesday, 1 September, 2020 12:29 Partnership Convai launches Vodafone Voice Concierge, intelligent contact centre solution reducing waiting times improving customer experiences Tuesday 1 September 2020 An exclusive partnership Vodafone New Zealand Convai, Probe Group company specialists intelligent contact centre solutions, resulted launch Vodafone Voice Concierge, solution improving customer experience efficiency business centres. Using artificial intelligence AI, machine learning, advanced speech recognition, Vodafone Voice Concierge responds customer call, analyses customer request directs appropriate outcome, talk centre agent selfserve option. Convai estimates solution reduces average time 15 30 seconds. Lindsay Zwart, Vodafone Business Director, says cloudbased solution designed businesses sizes integrated Vodafones Centre portfolio products, including recently released Vodafone Connect powered AWS Genesys Cloud contact centre platforms. Businesses smaller contact centre needs enjoy immediacy intelligent nextgeneration solution running days, says. The intuitive simpletouse plugged straight unified communications system, Vodafone One Business Teams Connect, providing endtoend solution operated need technical expertise. For larger enterprises complex contact centre requirements, including onpremise deployments, Vodafone Voice Concierge tailored bespoke solution managed internally expert teams. Group CEO Probe Group Andrew Hume says solutions advanced speech interpretation AIdriven routing means understand caller intent respond accordingly, handling large volumes calls easily. At heart Vodafone Voice Concierge powerful voice interpretation function turns conversation text assigns topic contact centre agent view. The agent intent callers language speaking caller, turning positive experience all, says. The advanced interpretation enables insightful reporting, meaning managers view reasons customers calling given time, leading faster issue resolution response recurring queries. Vodafone Voice Concierge builds previous technology implementations Vodafone Probe Group delivered decade New Zealands largest complex contact centres. These solutions, likes government financial institutions, include functionality natural language routing, voice biometric identification dozens selfservice modules. Vodafone Voice Concierge finally enables deliver high end sophistication way consumed all, says Hume. One countrys leading banks, Bank New Zealand, similar Vodafone Probe Group solution contact centre years. BNZ GM Customer Connection Hubs, Bridgette Dalzell says The biometric identification tools mean customers calling quickly securely verify are, lots questions complex passwords. The introduction open speech navigation means customers direct reach right person time simply saying want do. Exclusive Vodafone New Zealand, business customers trial entrylevel Vodafone Voice Concierge free 30 days. To advantage trial information touch Vodafone Business sales team 0800 888 305 All articles comments .nz submitted community users. Please notify believe item site breaches community guidelines. Voxy: Your Voice About Voxy Submit News Join Voxy Twitter Facebook Latest Business News RSS Vodafone NZ signs strategic partnership bring AI contact centre solutionsInsight 91: The future dairy industry NZIERNew forces shaping future UK beef imports Rabobank Beef Quarterly reportAuckland CBD development site sold auction ColliersHeli Glenorchy acquires Heliworks Queenstown builds brand future Most Popular Today RSS Silver Trak MPS launch direct cinema content distribution NZOur Zero Waste World Summit pitch deadline loomsHold lighting outdoor fires COVID19 LockdownTe Kuiti food bank stockedCyclone Tino aiming Tonga, churn NZ beaches WeatherWatch Blogs Politics Business National Sport Entertainment Lifestyle Health Tech 20082018 Digital Advance Limited About Voxy, Terms Use | 2,020 | [
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https://nysenewstimes.com/ongoing-and-rising-trends-of-global-ai-in-fashion-market-by-top-key-players-like-catchoom-findmine-aws-microsoft-wide-eyes-google/ | 2020-03-06T00:00:00 | en | Ongoing and Rising trends of Global AI in Fashion Market by top key players like Catchoom, FINDMINE, AWS, Microsoft, Wide Eyes, Google – Nyse News Times |
Ongoing and Rising trends of Global AI in Fashion Market by top key players like Catchoom, FINDMINE, AWS, Microsoft, Wide Eyes, Google – Nyse News Times
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Ongoing and Rising trends of Global AI in Fashion Market by top key players like Catchoom, FINDMINE, AWS, Microsoft, Wide Eyes, Google
alex March 6, 2020
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Global AI in Fashion Market CAGRGlobal AI in Fashion Market DevelopmentGlobal AI in Fashion Market ForecastGlobal AI in Fashion Market GrowthGlobal AI in Fashion Market Trends
Global AI in Fashion Market Report speaks about the growth rate of the market till Forecast 2026, Manufacturing process, Key factors driving this market with Sales, Revenue, and Price Analysis of Top Manufacturers, Distributors, Traders and Dealers of market.
This study covers market space, opportunities, and threats faced by the vendors in the market, Market risk, and Market overview. The whole process is properly analyzed with respect to three main points, viz. Raw Material, Material Dealers and various manufacturing-related costs (material cost, labor cost, etc.) and the actual process.
Request a Sample of AI in Fashion Industry research report from: @ https://www.reportspedia.com/report/technology-and-media/global-ai-in-fashion-market-research-report-2020-2026-of-major-types,-applications-and-competitive-vendors-in-top-regions-and-countries/54085#request_sample
Major(Key) Manufacturers Including(Companies and Product introduction, AI in Fashion Sales Volume, Revenue, Price and Gross Margin):
Catchoom
FINDMINE
AWS
Microsoft
Wide Eyes
Google
mode.ai
Regional Segment Analysis (Regional Production Volume, Consumption Volume, Revenue and Growth Rate 2020-2026):
North America (United States, Canada, and Mexico)
Europe (Germany, UK, France, Italy, Russia, Spain, and Benelux)
Asia Pacific (China, Japan, India, Southeast Asia, and Australia)
Latin America (Brazil, Argentina, and Colombia)
The Middle East and Africa
In This Study, The following Years Considered to Estimate the Market Size:
History Year: 2015 – 2019
Base Year: 2019
Estimated Year: 2020
Forecast Year: 2020 – 2026
If You Have Any Query, Ask Our Experts:https://www.reportspedia.com/report/technology-and-media/global-ai-in-fashion-market-research-report-2020-2026-of-major-types,-applications-and-competitive-vendors-in-top-regions-and-countries/54085#inquiry_before_buying
Type Segment Analysis (Consumption Volume, Average Price, Revenue, Market Share and Trend 2020-2026):
Solutions(Software Tools,Platform)
Services(Consulting,System Integration,Support and Maintenance)
Application Segment Analysis (Consumption Volume and Market Share 2020-2026; Downstream Customers and Market Analysis)
Apparel
Accessories
Footwear
Beauty and Cosmetics
Jewelry and Watches
Others (eyewear, home decor)
This report studies the global market size of AI in Fashion in key regions like North America, Europe, Asia Pacific, Central & South America, and the Middle East & Africa focuses on the consumption of AI in Fashion in these regions.
Research Objectives:
To study, track & analyze competitive developments such as joint ventures, strategic alliance, mergers, acquisitions & new product developments
To provide a detailed analysis of the market structure along with the forecast for the 2020-2026 duration.
To provide the segmentation analysis based on application & geographical location
To study the factors affecting market growth as well as the market drivers driving the AI in Fashion Market
To provide a future perspective of the market size in various regions & its key performing countries.
To study & predict the accurate market share, revenue & size during the period 2020-2026
To provide the information related to the challenges & restraints faced by the new entrants of the market along with the threat of substitutes & threats of rivalry
Ask For Discount:https://www.reportspedia.com/discount_inquiry/discount/54085
Why you should Purchase this Report?
To gain insightful analyses of the market and have a comprehensive understanding of the global AI in Fashion market and its competitive landscape.
Assess the AI in Fashion market production processes, major issues in this market, and solutions to mitigate the development risk.
To understand the most affecting driving and restraining forces in the AI in Fashion market and its impact on the global market.
Study the market tactics that are being adopted by leading respective organizations.
To understand the outlook and prospectsfor AI in Fashion Market.
Following are the Total 14 chapters covered in AI in Fashion Report:
Chapter 1: This chapter includes the overview of AI in Fashion Product, Commercial Types, Downstream Application, Development History, Market Status, and Trend.
Chapter 2: This chapter includes the analysis of Market Development by Regions, Sales Market by Regions, Production Market by Regions, and Market Forecast by Regions.
Chapter 3: This chapter of AI in Fashion market includes Sales Volume by Types, Sales Value by Types, and Market Forecast by Types.
Chapter 4: This chapter of AI in Fashion market includes Global Sales Volume by Downstream Industry, Global Market Forecast by Downstream Industry.
Chapter 5: This chapter of AI in Fashion market includes North America Market Status by Countries, Type, Manufacturers and Downstream Industry. (the United States, Canada & Mexico)
Chapter 6: This chapter of AI in Fashion market includes Europe Market Status by Countries, Type, Manufacturers and Downstream Industry. (Germany, UK, France, Italy, Russia, Spain, Benelux)
Chapter 7: This chapter of AI in Fashion market includes Asia Pacific Market Status by Countries, Type, Manufacturers and Downstream Industry (China, Japan, India, and Southeast Asia, Australia)
Chapter 8: This chapter of AI in Fashion market includes Latin America Market Status by Countries, Type, Manufacturers and Downstream Industry (Brazil, Argentina, and Colombia)
Chapter 9: This chapter of AI in Fashion market includes the Middle East and Africa Market Status by Countries, Type, Manufacturers, and Downstream Industry
Chapter 10: This chapter of the AI in Fashion market includes Driving Factor Analysis, Global Economy Situation and Trend Overview & Downstream Industry Situation and Trend Overview.
Chapter 11: This chapter of the AI in Fashion market tells about Market Competition Status by key Manufacturers such as Production Volume, Production Value Investment, New Product Development, and Launch.
Chapter 12: This chapter of the AI in Fashion market includes Company profile, Sales, Revenue, Price and Gross Margin of all companies mentioned above.
Chapter 13: This chapter of the AI in Fashion market includes Industry Chain, Upstream Market, Downstream Market, and Representative Companies Analysis.
Chapter 14: This chapter of AI in Fashion market includes Cost Structure Analysis, Raw Materials Cost Analysis, Labour Cost Analysis, and Manufacturing Expenses Analysis.
This report provides detailed insights and analysis on the state of the AI in Fashion and provides a valuable source of information and direction for companies and individuals interested in this market.
Review the Table of Contents:https://www.reportspedia.com/report/technology-and-media/global-ai-in-fashion-market-research-report-2020-2026-of-major-types,-applications-and-competitive-vendors-in-top-regions-and-countries/54085#table_of_contents
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| Ongoing and Rising trends of Global AI in Fashion Market by top key players like Catchoom, FINDMINE, AWS, Microsoft, Wide Eyes, Google | Ongoing Rising trends Global AI Fashion Market key players like Catchoom, FINDMINE, AWS, Microsoft, Wide Eyes, Google Nyse News Times Skip content Friday, March 06, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Featured Market Research Ongoing Rising trends Global AI Fashion Market key players like Catchoom, FINDMINE, AWS, Microsoft, Wide Eyes, Google alex March 6, 2020 No Comments Global AI Fashion Market CAGRGlobal AI Fashion Market DevelopmentGlobal AI Fashion Market ForecastGlobal AI Fashion Market GrowthGlobal AI Fashion Market Trends Global AI Fashion MarketReport speaks thegrowth rate market tillForecast 2026,Manufacturing process,Key factors drivingthis market withSales,Revenue, andPrice Analysisof Top Manufacturers, Distributors, Traders Dealers market. This study covers market space, opportunities, threats faced vendors market, Market risk, Market overview. The process properly analyzed respect main points, viz.Raw Material, Material Dealers manufacturingrelated costs material cost, labor cost, etc. actual process. Request Sample AI Fashion Industry research report from: @ MajorKey Manufacturers ludingCompanies Product introduction, AI Fashion Sales Volume, Revenue, Price Gross Margin: Catchoom FINDMINE AWS Microsoft Wide Eyes Google mode.ai Regional Segment Analysis Regional Production Volume, Consumption Volume, Revenue Growth Rate 20202026: North America United States, Canada, Mexico Europe Germany, UK, France, Italy, Russia, Spain, Benelux Asia Pacific China, Japan, India, Southeast Asia, Australia Latin America Brazil, Argentina, Colombia The Middle East Africa In This Study, The following Years Considered Estimate Market Size: History Year: 2015 2019 Base Year: 2019 Estimated Year: 2020 Forecast Year: 2020 2026 If You Have Any Query, Ask Our Experts: Type Segment Analysis Consumption Volume, Average Price, Revenue, Market Share Trend 20202026: SolutionsSoftware Tools,Platform ServicesConsulting,System Integration,Support Maintenance Application Segment Analysis Consumption Volume Market Share 20202026; Downstream Customers Market Analysis Apparel Accessories Footwear Beauty Cosmetics Jewelry Watches Others eyewear, home decor This report studies global market size ofAI Fashion key regions like North America, Europe, Asia Pacific, Central South America, Middle East Africa focuses consumption ofAI Fashionin regions. Research Objectives: To study, track analyzecompetitivedevelopmentssuchas joint ventures, strategic alliance, mergers, acquisitions new product developments To providea detailedanalysis marketstructurealongwiththe forecastforthe20202026duration. To provide thesegmentationanalysisbased application geographical location To study factors affecting market growthas market drivers driving theAI FashionMarket To providea futureperspectiveof market size regions key performing countries. To study predict accurate marketshare, revenue sizeduringthe period20202026 To providethe informationrelated thechallenges restraintsfaced new entrants market thethreat substitutesthreats rivalry Ask For Discount: Why Purchase Report? Togain insightful analyses marketand comprehensive understanding global AI Fashion market itscompetitive landscape. Assess AI Fashionmarket production processes, major issues market, solutionsto mitigate development risk. To understand affectingdriving restraining forces AI Fashion marketand impact global market. Study themarket tacticsthat adopted leading respective organizations. To understand theoutlook prospectsfor AI Fashion Market. Following Total 14 chapters covered AI Fashion Report: Chapter 1: This chapter includes overview AI Fashion Product, Commercial Types, Downstream Application, Development History, Market Status, Trend. Chapter 2: This chapter includes analysis Market Development Regions, Sales Market Regions, Production Market Regions, Market Forecast Regions. Chapter 3: This chapter AI Fashion market includes Sales Volume Types, Sales Value Types, Market Forecast Types. Chapter 4: This chapter AI Fashion market includes Global Sales Volume Downstream Industry, Global Market Forecast Downstream Industry. Chapter 5: This chapter AI Fashion market includes North America Market Status Countries, Type, Manufacturers Downstream Industry. United States, Canada Mexico Chapter 6: This chapter AI Fashion market includes Europe Market Status Countries, Type, Manufacturers Downstream Industry. Germany, UK, France, Italy, Russia, Spain, Benelux Chapter 7: This chapter AI Fashion market includes Asia Pacific Market Status Countries, Type, Manufacturers Downstream Industry China, Japan, India, Southeast Asia, Australia Chapter 8: This chapter AI Fashion market includes Latin America Market Status Countries, Type, Manufacturers Downstream Industry Brazil, Argentina, Colombia Chapter 9: This chapter AI Fashion market includes Middle East Africa Market Status Countries, Type, Manufacturers, Downstream Industry Chapter 10: This chapter AI Fashion market includes Driving Factor Analysis, Global Economy Situation Trend Overview Downstream Industry Situation Trend Overview. Chapter 11: This chapter AI Fashion market tells Market Competition Status key Manufacturers Production Volume, Production Value Investment, New Product Development, Launch. Chapter 12: This chapter AI Fashion market includes Company profile, Sales, Revenue, Price Gross Margin companies mentioned above. Chapter 13: This chapter AI Fashion market includes Industry Chain, Upstream Market, Downstream Market, Representative Companies Analysis. Chapter 14: This chapter AI Fashion market includesCost Structure Analysis, Raw Materials Cost Analysis, Labour Cost Analysis, Manufacturing Expenses Analysis. This report provides detailed insights analysis state AI Fashion provides valuable source information direction companies individuals interested market. Review Table Contents: Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Parking Management Market 2020 Size, Share, Technology Trends, Business Growth, Revenue, Guidelines Services Key Companies, Forecast Outlook 2025Next Next post: Ongoing Rising trends Global Volumetric Video Market key players like Intel, The Coretec Group, 8i, Microsoft, LightSpace Technologies, RealView Imaging Recent Posts Complete Analysis New Global Automatic Label Dispensers Market 2020 2025: Profiling Major Key Players Bizerba, Dispensamatic, Weber Marking, START International, SATO Global Online Travel Market 2020: InDepth Sector Analysis Size, Cost Structure, Size, Share, Growth Strategies, Types, Prominent Key Players Analysis Advanced Research Lanolin Oil Lanolin Wax Market : Lubrizol, Deutsche Lanolin Gesellschaft, Croda Others 2025 Motion Control Market 2020: Global Industry Growth Study, Future Trends, Size, Share, Segmentation, Demands, Top Players Data Forecast 2025 Advanced Research Courier, Express, Parcel CEP Market : First Flight Courier, Quantium Courier, XpressBees Courier Others 2025 Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top | 2,020 | [
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https://www.fox35orlando.com/news/ucf-researchers-developing-ai-avatar-to-help-students-with-autism | 2020-12-27T00:00:00 | en | UCF researchers developing AI to help students with autism |
UCF researchers developing AI to help students with autism
LiveNewsWeatherGood DayCommunityContests More Expand / Collapse search Watch Live ☰ Search site News LocalFloridaCoronavirusNewsNOW from FOX NationalWorldViralPoliticsHealthUnusualPolitics 2020 Election ResultsCoronavirus Latest from FloridaReopening FloridaEconomic impactSymptoms and preventionMap: Florida casesMap: Worldwide casesMoney Personal FinanceCOVID-19 & the EconomyWeather Forecast VideoFOX 35 Weather AppFOX 35 Orlando Hurricane CenterWeather AlertsHour-by-Hour Forecast7 Day ForecastTheme Parks ForecastBeach ForecastUV IndexTraffic I-4 Construction ProjectPump PatrolBus Stop ForecastGood Day David Martin ReportsWeather BabiesAdventHealth House CallsTeacher of the WeekEntertainment Theme ParksInstaStoriesWatch FOX ShowsTV ListingsCommunity EventsSports Orlando MagicNBAOrlando City Soccer ClubMLSNFLMLBNASCARCollege SportsAbout Us Sign up for FOX 35 emailsMobile AppsPersonalitiesContact UsWork for UsContestsFOX 35 InternshipsWRBW/FOX 35 PLUSClosed CaptioningFCC Public FileFCC ApplicationsTV Rescan InformationShows Good Day OrlandoOrlando MattersNewsEdge @ 8 p.m.Seen on TVNews Tips Call: (407) 741-5027Email: [email protected] 35 Investigates Freeze Warning from SUN 12:00 AM EST until SUN 9:00 AM EST, Sumter County 2 Freeze Warning until SUN 9:00 AM EST, Inland Flagler County UCF researchers developing AI to help students with autism By Matt Trezza
Published 20 mins ago Updated 19 mins ago Health FOX 35 Orlando Facebook Twitter Print Email article ORLANDO, Fla. - Nine-year-old Aiden sat in a dark tent, talking with "Zoobee." Zoobee is an animated character on a computer who talks with students who have developmental disabilities, like Aiden. "He does have a cognitive delay. Sometimes coupled with that comes that social-emotional growth that he could benefit from," said Dr. Karyn Scott, principal of UCP Pine Hills, where Aiden went to school.For now, Zoobee is controlled by an actual person who replies to Aiden. However, researchers with the University of Central Florida (UCF) are trying to gather enough data from Aiden and the other test participants to create artificial intelligence (AI) for Zoobee. That way, the computer could communicate with students like Aiden who have trouble relating to people on a social and emotional level.MORE NEWS: Unemployment benefits expire for millions as COVID relief bill remains unsigned Advertisement The ultimate goal of the project is to have Zoobee on a tablet or a screen that students could take with them to class and it would interact with them based on their facial expressions."Zoobee is the social-emotional coach through the whole project. Zoobee's the one who helps explain to the child what an emotion feels like, even what it looks like, to a degree," said Dr. Rebecca Hines, a UCF professor working on the project.For example, Zoobee has a heart that changes colors based on its emotions."My heart, sometimes it shows what I'm feeling, so if I'm really happy it turns green, sometimes if I'm feeling sad it turns blue, if I'm mad it turns red, or if I'm worried it turns yellow," Zoobee explained when asked.TRENDING NOW: Central Florida man stops at Publix, wins $1M on scratch-off before ChristmasAt one point in the study, Aiden deliberately tried to make Zoobee upset just to see its heart change color. It was a moment that encouraged researchers, seeing Aiden understand that his actions could elicit specific emotional responses."So in this case, it's a nonthreatening way to learn that. If you noticed in that exchange, he eventually apologized for it. So those of us outside Zoobee's world, we're all looking at each other saying that's perfect because we want every child to understand it does have an impact on the other person when you say something hurtful," Prof Hines said.It will be a five-year project involving special needs students from several schools. Once they do create a fully-AI Zoobee, they plan to let schools across the county use it for free.Tune in to FOX 35 Orlando for the latest Central Florida news.
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| UCF researchers developing AI to help students with autism | UCF researchers developing AI help students autism LiveNewsWeatherGood DayCommunityContests More Expand Collapse search Watch Live site News LocalFloridaCoronavirusNewsNOW FOX NationalWorldViralPoliticsHealthUnusualPolitics 2020 Election ResultsCoronavirus Latest FloridaReopening FloridaEconomic impactSymptoms preventionMap: Florida casesMap: Worldwide casesMoney Personal FinanceCOVID19 EconomyWeather Forecast VideoFOX 35 Weather AppFOX 35 Orlando Hurricane CenterWeather AlertsHourbyHour Forecast7 Day ForecastTheme Parks ForecastBeach ForecastUV IndexTraffic I4 Construction ProjectPump PatrolBus Stop ForecastGood Day David Martin ReportsWeather BabiesAdventHealth House CallsTeacher WeekEntertainment Theme ParksInstaStoriesWatch FOX ShowsTV ListingsCommunity EventsSports Orlando MagicNBAOrlando City Soccer ClubMLSNFLMLBNASCARCollege Sports Sign FOX 35 emailsMobile AppsPersonalities UsWork UsContestsFOX 35 InternshipsWRBWFOX 35 PLUSClosed CaptioningFCC Public FileFCC ApplicationsTV Rescan InformationShows Good Day OrlandoOrlando MattersNewsEdge @ 8 p.m.Seen TVNews Tips Call: 407 7415027Email: WOFLNews 35 Investigates Freeze Warning SUN 12:00 AM EST SUN 9:00 AM EST, Sumter County 2 Freeze Warning SUN 9:00 AM EST, Inland Flagler County UCF researchers developing AI help students autism By Matt Trezza Published20 mins ago Updated 19 mins ago Health FOX 35 Orlando Facebook Twitter Print Email article ORLANDO, Fla. Nineyearold Aiden sat dark tent, talking Zoobee. Zoobee animated character talks students developmental disabilities, like Aiden. He cognitive delay. Sometimes coupled comes socialemotional growth benefit from, said Dr. Karyn Scott, principal UCP Pine Hills, Aiden went school.For now, Zoobee controlled actual person replies Aiden. However, researchers University Central Florida UCFare trying gather data Aiden test participants create artificial intelligence AI Zoobee. That way,the communicate students like Aidenwho trouble relating people social emotional level.MORE NEWS: Unemployment benefits expire millions COVID relief remains unsigned Advertisement The ultimate goal project Zoobee tablet screen students class interact based facial expressions.Zoobee socialemotional coach project. Zoobees helps explain child emotion feels like, looks like, degree, said Dr. Rebecca Hines, UCF professor working project.For example, Zoobee heart changes colors based emotions.My heart, shows Im feeling, Im happy turns green, Im feeling sad turns blue, Im mad turns red, Im worried turns yellow, Zoobee explained asked.TRENDING NOW: Central Florida man stops Publix, wins 1M scratchoff ChristmasAt point study, Aiden deliberately tried Zoobee upset heart change color. It moment encouraged researchers, seeing Aiden understand actions elicit specific emotional responses.So case, nonthreatening way learn that. If noticed exchange, eventually apologized it. So outside Zoobees world, looking saying thats perfectbecause want child understand impact person hurtful, Prof Hines said.It fiveyear project involving special needs students schools. Once create fullyAI Zoobee, plan let schools county use free.Tune FOX 35 Orlando latest Central Florida news. Latest News People head stores, malls postholiday shopping returns Orange County begins COVID19 vaccinations responders Unemployment benefits expire millions COVID relief remains unsigned Orlando Police launch investigation 2 dead South Florida issues holiday curfew slow spread COVID19 Trending Gator roundup: Here biggest Florida alligator videos 2020 Brightline announces 2023 goal Disney Springs Station Moderna COVID vaccine caused effect cosmetic facial fillers Vitamin D, everyday vitamins counter coronavirus effects: report Florida man killed car working slips jack News LocalFloridaCoronavirusNewsNOW FOX NationalWorldViralPoliticsHealthUnusualPolitics 2020 Election ResultsCoronavirus Latest FloridaReopening FloridaEconomic impactSymptoms preventionMap: Florida casesMap: Worldwide casesMoney Personal FinanceCOVID19 EconomyWeather Forecast VideoFOX 35 Weather AppFOX 35 Orlando Hurricane CenterWeather AlertsHourbyHour Forecast7 Day ForecastTheme Parks ForecastBeach ForecastUV IndexTraffic I4 Construction ProjectPump PatrolBus Stop ForecastGood Day David Martin ReportsWeather BabiesAdventHealth House CallsTeacher WeekEntertainment Theme ParksInstaStoriesWatch FOX ShowsTV ListingsCommunity EventsSports Orlando MagicNBAOrlando City Soccer ClubMLSNFLMLBNASCARCollege Sports Sign FOX 35 emailsMobile AppsPersonalities UsWork UsContestsFOX 35 InternshipsWRBWFOX 35 PLUSClosed CaptioningFCC Public FileFCC ApplicationsTV Rescan InformationShows Good Day OrlandoOrlando MattersNewsEdge @ 8 p.m.Seen TVNews Tips Call: 407 7415027Email: WOFLNews 35 Investigates facebooktwitterinstagramyoutubeemail Updated Do Not Sell Personal Information FCC Public FileEEO Public FileClosed Captioning Us This material published, broadcast, rewritten, redistributed. 2020 FOX Television Stations | 2,020 | [
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https://www.forbes.com/sites/fernandezelizabeth/2020/08/04/machine-learning-reveals-what-makes-people-happy-in-a-relationship/ | 2020-08-04T00:00:00 | en | Machine Learning Reveals What Makes People Happy In A Relationship | Machine Learning Reveals What Makes People Happy In A RelationshipBillionairesAll BillionairesWorld's BillionairesForbes 400America's Richest Self-Made WomenChina's RichestIndia's RichestIndonesia's RichestKorea's RichestThailand's RichestJapan's RichestAustralia's RichestTaiwan's RichestSingapore's RichestPhilippines' RichestHong Kong's RichestMalaysia's RichestMoney & Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCloudCloud 100Consumer TechCybersecurityEnterprise TechGamesGreen TechHealthcareJapan BrandVoice | Paid ProgramJumio BrandVoice | Paid ProgramOracle BrandVoice | Paid ProgramSAP BrandVoice | Paid ProgramScienceServiceNow BrandVoice | Paid ProgramSmartsheet BrandVoice | Paid ProgramSocial MediaT-Mobile For Business BrandVoice | Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCIO NetworkCMO NetworkDeloitte BrandVoice | Paid ProgramDiversity & InclusionEducationForbesWomenGoogle Cloud BrandVoice | Paid ProgramLeadership StrategyUnder 30Working RemoteMoneyAll MoneyBanking & InsuranceCrypto & BlockchainETFs & Mutual FundsFintechHedge Funds & Private EquityInvestingMarketsPersonal FinancePremium Investing NewslettersRetirementTaxesTop Advisor | SHOOKWealth ManagementBusinessAll BusinessAerospace & DefenseEnergyFood & DrinkHollywood & EntertainmentKPMG BrandVoice | Paid ProgramManufacturingMediaMitsubishi Heavy Industries BrandVoice | Paid ProgramPolicyReal EstateRetailSportsMoneyTransportationSmall BusinessAll Small BusinessEntrepreneursFranchisesSmall Business StrategyLifestyleAll LifestyleArtsBoats & PlanesCars & BikesDiningForbesLifeForbes Travel GuideSpiritsStyle & BeautyTravelVicesWatchesListsAll ListsAdvisorAll AdvisorThe Best Credit Cards Of 2020Best Personal LoansBest Savings AccountsBest Balance Transfer Credit CardsBest Student LoansBest Checking AccountsBest 0% APR Credit CardsAuto Loan CalculatorBest CD RatesBest Cash Back Credit CardsPersonal Loan CalculatorBest Online Banks Best Rewards Credit CardsBest Car Insurance RatesPPP Loans & UnemploymentBest Business Credit CardsBest Travel Insurance CompaniesSecond Stimulus Check Calculator (HEROES)Browse All Credit CardsBest Life Insurance CompaniesSecond Stimulus Check Proposals WheelsAll WheelsFeatured30 Under 30 2020DNA Of SuccessForbes Analytics Plus With Teradata | Paid ProgramHitachi Insights | Paid ProgramRoostify Insights | Paid ProgramServiceNow BrandVoiceTableau BrandVoice | Paid ProgramThePowerMBA BrandVoice | Paid ProgramThe 2020 World's Most Valuable BrandsUnder 30 Detroit Hackathon: Accelerating ChangeVoices Of SuccessMoreForbes Daily Cover StoriesForbes Editors' PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue of ForbesReport a Security IssueSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints & Permissions© 2020 Forbes Media LLC. All Rights ReservedBETAThis is a BETA experience. You may opt-out by clicking hereEdit Story|Aug 4, 2020,05:20am EDTMachine Learning Reveals What Makes People Happy In A RelationshipElizabeth FernandezContributorOpinions expressed by Forbes Contributors are their own.ScienceI write about the philosophy and ethics of science and technology.Share to FacebookShare to TwitterShare to Linkedin
Who you are together is more important than who you are alone.
getty
What makes us happy in a romantic relationship? The question might seem too complex to answer, too varied couple to couple. But a new study in the Proceedings of the National Academy of Sciences attempts to answer just that - using machine learning.
Previous studies on romantic satisfaction were limited in size. By using machine learning, however, researchers were able to analyze a massive amount of data, which included over 11,000 different couples from 43 data sets. Individual studies are many times limited - it is difficult and expensive to recruit couples for the studies. It’s also exhausting for the participants. Using machine learning to analyze a large amount of data from pre-existing studies bypasses these problems.
The researchers looked at variables that could predict happiness within a relationship. Some of these, such as neuroticism, political orientation, conscientiousness or family history were qualities of the individuals involved. Others, such as appreciation, affection and perceived partner commitment were qualities of the relationship.
Recommended For YouPro-Trump Boat Among Dozens That Nearly Ruined The Return Of SpaceX’s Crew Dragon SpacecraftFull ‘Sturgeon Moon’ Sparkles Then Creeps Up On Mars: What To Watch For In The Night Sky This WeekYou Must Not ‘Do Your Own Research’ When It Comes To ScienceOf these, qualities of the relationship, rather than the individuals involved, contributed more to overall satisfaction. The five most important were how much they believed their partner was committed to the relationship, how much they appreciated their partner, sexual satisfaction, how much they believed their partner was happy in the relationship, and not fighting often.
Appreciation and commitment are key for a fulfilling relationship.
getty
Qualities of the individuals contribute too - but not as much. In fact, 45% of the variability in a relationship is due to the qualities of the relationship. 21% were due to the individuals themselves. In addition, once qualities of the relationship were taken into account, the differences due to the individuals were not as important.
“Experiencing negative affect, depression, or insecure attachment are surely relationship risk factors. But if people nevertheless manage to establish a relationship characterized by appreciation, sexual satisfaction, and a lack of conflict—and they perceive their partner to be committed and responsive—those individual risk factors may matter little,” say the authors.
In other words, for a happy relationship, it’s more important who you are together than who you are apart.
Follow me on Twitter. Check out my website. Elizabeth FernandezDr. Elizabeth Fernandez is the host of SparkDialog Podcasts (sparkdialog.com), which covers the intersection of science and society. She has a PhD in astrophysics from… Read MoreDr. Elizabeth Fernandez is the host of SparkDialog Podcasts (sparkdialog.com), which covers the intersection of science and society. She has a PhD in astrophysics from the University of Texas at Austin and has worked around the world in both astronomy and in science and society. She currently specializes in how science and technology are impacting our lives. Read LessPrintSite FeedbackTipsCorrectionsReprints & PermissionsTermsPrivacy© 2020 Forbes Media LLC. All Rights Reserved.Report a Security IssueAdChoices | Machine Learning Reveals What Makes People Happy In A Relationship | Machine Learning Reveals What Makes People Happy In A RelationshipBillionairesAll BillionairesWorlds BillionairesForbes 400Americas Richest SelfMade WomenChinas RichestIndias RichestIndonesias RichestKoreas RichestThailands RichestJapans RichestAustralias RichestTaiwans RichestSingapores RichestPhilippines RichestHong Kongs RichestMalaysias RichestMoney Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCloudCloud 100Consumer TechCybersecurityEnterprise TechGamesGreen TechHealthcareJapan BrandVoice Paid ProgramJumio BrandVoice Paid ProgramOracle BrandVoice Paid ProgramSAP BrandVoice Paid ProgramScienceServiceNow BrandVoice Paid ProgramSmartsheet BrandVoice Paid ProgramSocial MediaTMobile For Business BrandVoice Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCIO NetworkCMO NetworkDeloitte BrandVoice Paid ProgramDiversity lusionEducationForbesWomenGoogle Cloud BrandVoice Paid ProgramLeadership StrategyUnder 30Working RemoteMoneyAll MoneyBanking InsuranceCrypto BlockchainETFs Mutual FundsFintechHedge Funds Private EquityInvestingMarketsPersonal FinancePremium Investing NewslettersRetirementTaxesTop Advisor SHOOKWealth ManagementBusinessAll BusinessAerospace DefenseEnergyFood DrinkHollywood EntertainmentKPMG BrandVoice Paid ProgramManufacturingMediaMitsubishi Heavy Industries BrandVoice Paid ProgramPolicyReal EstateRetailSportsMoneyTransportationSmall BusinessAll Small BusinessEntrepreneursFranchisesSmall Business StrategyLifestyleAll LifestyleArtsBoats PlanesCars BikesDiningForbesLifeForbes Travel GuideSpiritsStyle BeautyTravelVicesWatchesListsAll ListsAdvisorAll AdvisorThe Best Credit Cards Of 2020Best Personal LoansBest Savings AccountsBest Balance Transfer Credit CardsBest Student LoansBest Checking AccountsBest 0 APR Credit CardsAuto Loan CalculatorBest CD RatesBest Cash Back Credit CardsPersonal Loan CalculatorBest Online Banks Best Rewards Credit CardsBest Car Insurance RatesPPP Loans UnemploymentBest Business Credit CardsBest Travel Insurance CompaniesSecond Stimulus Check Calculator HEROESBrowse All Credit CardsBest Life Insurance CompaniesSecond Stimulus Check Proposals WheelsAll WheelsFeatured30 Under 30 2020DNA Of SuccessForbes Analytics Plus With Teradata Paid ProgramHitachi Insights Paid ProgramRoostify Insights Paid ProgramServiceNow BrandVoiceTableau BrandVoice Paid ProgramThePowerMBA BrandVoice Paid ProgramThe 2020 Worlds Most Valuable BrandsUnder 30 Detroit Hackathon: Accelerating ChangeVoices Of SuccessMoreForbes Daily Cover StoriesForbes Editors PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue ForbesReport Security IssueSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints Permissions 2020 Forbes Media LLC. BETAThis BETA experience. You optout byclicking hereEdit StoryAug 4, 2020,05:20am EDTMachine Learning Reveals What Makes People Happy In A RelationshipElizabeth FernandezContributorOpinions expressed Forbes Contributors own.ScienceI write philosophy ethics science technology.Share FacebookShare TwitterShare Linkedin Who important alone. getty What makes happy romantic relationship? The question complex answer, varied couple couple. But new study Proceedings National Academy Sciences attempts answer machine learning. Previous studies romantic satisfaction limited size. By machine learning, however, researchers able analyze massive data, included 11,000 different couples 43 data sets. Individual studies times limited difficult expensive recruit couples studies. Its exhausting participants. Using machine learning analyze large data preexisting studies bypasses problems. The researchers looked variables predict happiness relationship. Some these, neuroticism, political orientation, conscientiousness family history qualities individuals involved. Others, appreciation, affection perceived partner commitment qualities relationship. Recommended For YouProTrump Boat Among Dozens That Nearly Ruined The Return Of SpaceXs Crew Dragon SpacecraftFull Sturgeon Moon Sparkles Then Creeps Up On Mars: What To Watch For In The Night Sky This WeekYou Must Not Do Your Own Research When It Comes To ScienceOf these, qualities relationship, individuals involved, contributed overall satisfaction. The important believed partner committed relationship, appreciated partner, sexual satisfaction, believed partner happy relationship, fighting often. Appreciation commitment key fulfilling relationship. getty Qualities individuals contribute much. In fact, 45 variability relationship qualities relationship. 21 individuals themselves. In addition, qualities relationship taken account, differences individuals important. Experiencing negative affect, depression, insecure attachment surely relationship risk factors. But people manage establish relationship characterized appreciation, sexual satisfaction, lack conflictand perceive partner committed responsivethose individual risk factors matter little, authors. In words, happy relationship, important apart. Follow onTwitter.Check outmywebsite.Elizabeth FernandezDr. Elizabeth Fernandez host SparkDialog Podcasts , covers intersection science society. She PhD astrophysics fromRead MoreDr. Elizabeth Fernandez host SparkDialog Podcasts , covers intersection science society. She PhD astrophysics University Texas Austin worked world astronomy science society. She currently specializes science technology impacting lives. Read LessPrintSite FeedbackTipsCorrectionsReprints PermissionsTermsPrivacy 2020 Forbes Media LLC. .Report Security IssueAdChoices | 2,020 | [
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https://www.law360.com/articles/1276823/hsbc-launches-equity-product-powered-by-ai-and-big-data | 2020-05-27T00:00:00 | en | HSBC Launches Equity Product Powered By AI And Big Data - Law360 |
HSBC Launches Equity Product Powered By AI And Big Data - Law360
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HSBC Launches Equity Product Powered By AI And Big Data
Law360 (May 26, 2020, 9:33 PM EDT) -- HSBC has launched a new equity index family powered by artificial intelligence and big data to make investment decisions, announcing the new product on Tuesday which will use data insights from IBM Watson and EquBot.The AI Powered US Equity Index, or AiPEX, family is the first to use artificial intelligence to power equity investment decisions, according to the London-based global bank. Using IBM Watson's and EquBot's artificial intelligence capabilities, AiPEX will generate data harnessed from a bevy of data points including tweets, company announcements and satellite images, as well as the tone or language used by a CEO during a...
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| HSBC Launches Equity Product Powered By AI And Big Data | HSBC Launches Equity Product Powered By AI And Big Data Law360 Try Advanced refined results Toggle Dropdown Law360 News Only Cases Only PTAB Only TTAB Only Advanced Intellectual Property Securities Bankruptcy Competition Employment White Collar Legal Industry Access To Justice InDepth Law360 UK See 61 sections US Sections Access Justice Aerospace Defense Appellate Asset Management Banking Bankruptcy Benefits California Cannabis Capital Markets Class Action Commercial Contracts Competition Compliance Construction Consumer Protection Corporate Cybersecurity Privacy Delaware Employment Energy Environmental Fintech Florida Food Beverage Government Contracts Health Hospitality Illinois Immigration Insurance Intellectual Property International Arbitration International Trade Legal Ethics Legal Industry Life Sciences Massachusetts Media Entertainment Mergers Acquisitions Native American New Jersey New York Pennsylvania Personal Injury Medical Malpractice Private Equity Product Liability Project Finance Public Policy Real Estate Retail ECommerce Securities Sports Betting Tax Technology Telecommunications Texas Transportation Trials White Collar Global Sections Commercial Litigation UK Corporate Crime Compliance UK Financial Services UK Insurance UK Close Products Lexis Advance Law360 InDepth Law360 UK Law360 Updates Law360 Podcasts Beta Tools Track docs Track attorneys Track judges Adv. 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ADVERTISEMENT HSBC Launches Equity Product Powered By AI And Big Data Law360 May 26, 2020, 9:33 PM EDT HSBC launched new equity index family powered artificial intelligence big data investment decisions, announcing new product Tuesday use data insights IBM Watson EquBot.The AI Powered US Equity Index, AiPEX, family use artificial intelligence power equity investment decisions, according Londonbased global bank. Using IBM Watsons EquBots artificial intelligence capabilities, AiPEX generate data harnessed bevy data points including tweets, company announcements satellite images, tone language CEO a... Stay ahead curve In legal profession, information key success. You know whats happening clients, competitors, practice areas, industries. Law360 provides intelligence need remain expert beat competition. Access case data articles numbers, filings, courts, nature suit, more. 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http://svdaily.com/guidehouse-insights-and-bidgely-paper-reveals-artificial-intelligence-and-personalization-drives-energy-management-market-evolution/ | 2020-04-23T00:00:00 | en | Guidehouse Insights and Bidgely Paper Reveals Artificial Intelligence and Personalization Drives Energy Management Market Evolution – Silicon Valley Daily |
Guidehouse Insights and Bidgely Paper Reveals Artificial Intelligence and Personalization Drives Energy Management Market Evolution – Silicon Valley Daily
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Guidehouse Insights and Bidgely Paper Reveals Artificial Intelligence and Personalization Drives Energy Management Market Evolution
Business Wire April 23, 2020
New paper outlines how AI-powered energy management enables greater resiliency and flexibility for global utilities and energy customers
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Guidehouse Insights, formerly known as Navigant Research, today released the whitepaper, “The Power of AI for Energy Management, Q2’20,” which analyzed how leading utilities leverage artificial intelligence (AI) technologies to provide more valuable customer insights, produce greater energy savings and deepen their customer engagements in an evolving energy management landscape. Sponsored by UtilityAI™ leader Bidgely, the paper explains the evolution of converting smart meter data into holistic approaches to home energy management (HEM), and how utilities are using AI to address utility objectives like decarbonization, electrification, OpEx cost reduction, load shifting, demand response and more.
“The analysis of large data sets is helping to identify usage patterns that can alter market perceptions of what is possible for HEM,” said Neil Strother, principal research analyst for Guidehouse Insights. “Utilities have invested significantly in updated smart meter infrastructure. To maximize their investments, they should embrace AI technology in its many forms and create a data-centric and customer-centric culture. Utility managers and staff need to become familiar and comfortable with AI tools to exploit the increasing volumes of systemwide data that is there to be utilized.”
According to Guidehouse Insights, overall HEM revenue is projected to grow from nearly $4.4 billion in 2019 to more than $12 billion in 2028. A primary driver of this growth is adoption of smart meters, which has been on the rise across all utilities and is expected to reach a penetration of 67 percent by the end of 2020. Altered market dynamics contributing to the demand for advanced HEM solutions include several factors, such as environmental sustainability, availability of sophisticated household technologies (i.e. smart thermostats) and digital personalization, which have led consumers to seek greater control over their energy consumption and raised expectations for personalized engagement from their utility.
“The traditional approach at utilities of data silos is giving way to an overarching new approach that places the customer at the center of data gathering and analysis,” said Gautam Aggarwal, chief marketing officer for Bidgely. “This opens the door for enterprise-level analytics and personalized energy management approaches that enable a utility to better serve their customers across all segments, whether it is high consumption users or low-medium income customers. This new mindset is especially important for providing greater insights and recommendations to customers in times of financial challenges and economic uncertainty.”
Successful deployments of Bidgely UtilityAI™ across North America, Europe and Asia Pacific, with customers like Rocky Mountain Power, VSE, TEPCO and Duke Energy, reflect the achievements of applying AI-driven solutions to large customer datasets. These utilities and others that invested in AI-driven HEM saw significant improvements and measured results in:
Customer Experience: mid-cycle and monthly alerts reduce high bill calls by 50 percent and increase energy savings by 2X.
Home Energy Reports (HER): digital-centric HER programs drive 80 percent increase in savings, as experienced by Rocky Mountain Power customers.
Demand Side Management: behavioral energy efficiency programs contribute to higher customer savings, while non-behavioral DSM enables more effective product targeting, recommendations and rebates.
Call Center Operations: reduction in high bill calls and call handling time for greater service center value.
Online Audits: higher flexibility and reach to drive field audits through online audit tools.
New Revenue Generation: diversification of utility offerings to non-commodity products and advisory services, as implemented by Slovakia’s leading utility, VSE.
To learn more about the advantages of AI-powered home energy management solutions and to access the full Guidehouse Insights paper, “The Power of AI for Energy Management, Q2’20,” visit: go.bidgely.com/Guidehouse-Bidgely_The-Power-of-AI-for-Energy-Management.
About Bidgely
Bidgely is an AI-powered SaaS Company that enables utilities to create greater business value and accelerate our path towards zero carbon by delivering personalized customer experience. Powered by our unique patented technology, Bidgely's UtilityAI™ Platform transforms multiple dimensions of customer data - such as energy consumption, demographic, and interactions - into deeply accurate and actionable consumer energy insights. We leverage these insights to empower each customer with personalized recommendations, tailored to their individual personality and lifestyle, usage attributes, behavioral patterns, purchase propensity, and beyond. From smart thermostats to EV chargers, solar PVs or personalized / ToU tariffs, UtilityAI™ recommends new value-added products and services to the right customer at the right time. With roots in Silicon Valley, Bidgely has over 15 energy patents, $50M+ in funding, retains 30+ data scientists, and brings a passion for AI to utilities serving residential customers around the world. For more information, please visit www.bidgely.com or the Bidgely blog at bidgely.com/blog.
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Christine Bennett
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| Guidehouse Insights and Bidgely Paper Reveals Artificial Intelligence and Personalization Drives Energy Management Market Evolution | Guidehouse Insights Bidgely Paper Reveals Artificial Intelligence Personalization Drives Energy Management Market Evolution Silicon Valley Daily Skip content Menu Flash News Citrix Reports First Quarter 2020 Financial Results United States Piezoelectric Devices Market 2019 2025 Featuring APC International, CeramTec CTS Among Others Garmin introduces Approach Z82, industrys accurate golf laser range finder Apifiny Adds Arthur Wiseberg Head Institutional Sales, Europe Middle East Africa, Bringing Experience Huobi, Blackrock, Barclays FreeWire Technologies Raises 25 Million Financing Guidehouse Insights Bidgely Paper Reveals Artificial Intelligence Personalization Drives Energy Management Market Evolution Universal Electronics Host First Quarter 2020 Financial Results Conference Call May 7 FileCloud Offers Remote Workers Secure Access OnPremises Data Xperi TiVo Mail Proxy Materials Proposed Merger Internet Society Foundation Announces New Emergency Response Grant Programme Pricefx Named Finalist 2020 SAP Pinnacle Award SAP App Center Partner Year Rand Capital Announces First Quarter 2020 Financial Results Conference Call Webcast Helios Technologies Announces Appointment New Directors Postponement 2020 Annual Meeting Shareholders Vodafone Idea Deploys Mavenir OpenRAN Solution WNS Announces Fiscal 2020 Fourth Quarter Full Year Earnings Sequans Communications Announces Preliminary First Quarter 2020 Financial Results Figure Eight Federal Welcomes New Senior Vice President Grow Government Partnerships Experian Announces MyHealthDirect Scheduling Solution Now Available Epics App Orchard USA Data Centre Pricing Tracker Coverage Top Ten US Geographical Markets Allegion Reports FirstQuarter 2020 Financial Results Guidehouse Insights Report Shows North America Has Retaken Role Worlds Leader Total Microgrid Capacity 36 Market Share Parade Technologies Expand High Speed USB TypeC Connectivity Portfolio Acquisition Fresco Logic Vonage Enables AI Chatbot Spanish Government Provide Accurate, Updated COVID19 Information Medidata Accelerates Launch myMedidata Platform, Responding COVID19 Silicon Valley Daily News About Companies Silicon Valley Bay Area Menu Thursday, April 23, 2020 BusinessWire Guidehouse Insights Bidgely Paper Reveals Artificial Intelligence Personalization Drives Energy Management Market Evolution Business Wire April 23, 2020 New paper outlines AIpowered energy management enables greater resiliency flexibility global utilities energy customers MOUNTAIN VIEW, Calif.BUSINESS WIREGuidehouse Insights, known Navigant Research, today released whitepaper, The Power AI Energy Management, Q220, analyzed leading utilities leverage artificial intelligence AI technologies provide valuable customer insights, produce greater energy savings deepen customer engagements evolving energy management landscape. Sponsored UtilityAI leader Bidgely, paper explains evolution converting smart meter data holistic approaches home energy management HEM, utilities AI address utility objectives like decarbonization, electrification, OpEx cost reduction, load shifting, demand response more. The analysis large data sets helping identify usage patterns alter market perceptions possible HEM, said Neil Strother, principal research analyst Guidehouse Insights. Utilities invested significantly updated smart meter infrastructure. To maximize investments, embrace AI technology forms create datacentric customercentric culture. Utility managers staff need familiar comfortable AI tools exploit increasing volumes systemwide data utilized. According Guidehouse Insights, overall HEM revenue projected grow nearly 4.4 billion 2019 12 billion 2028. A primary driver growth adoption smart meters, rise utilities expected reach penetration 67 percent end 2020. Altered market dynamics contributing demand advanced HEM solutions include factors, environmental sustainability, availability sophisticated household technologies i.e. smart thermostats digital personalization, led consumers seek greater control energy consumption raised expectations personalized engagement utility. The traditional approach utilities data silos giving way overarching new approach places customer center data gathering analysis, said Gautam Aggarwal, chief marketing officer Bidgely. This opens door enterpriselevel analytics personalized energy management approaches enable utility better serve customers segments, high consumption users lowmedium income customers. This new mindset especially important providing greater insights recommendations customers times financial challenges economic uncertainty. Successful deployments Bidgely UtilityAI North America, Europe Asia Pacific, customers like Rocky Mountain Power, VSE, TEPCO Duke Energy, reflect achievements applying AIdriven solutions large customer datasets. These utilities invested AIdriven HEM saw significant improvements measured results in: Customer Experience: midcycle monthly alerts reduce high calls 50 percent increase energy savings 2X. Home Energy Reports HER: digitalcentric HER programs drive 80 percent increase savings, experienced Rocky Mountain Power customers. Demand Side Management: behavioral energy efficiency programs contribute higher customer savings, nonbehavioral DSM enables effective product targeting, recommendations rebates. Call Center Operations: reduction high calls handling time greater service center value. Online Audits: higher flexibility reach drive field audits online audit tools. New Revenue Generation: diversification utility offerings noncommodity products advisory services, implemented Slovakias leading utility, VSE. To learn advantages AIpowered home energy management solutions access Guidehouse Insights paper, The Power AI Energy Management, Q220, visit: go.GuidehouseBidgely_ThePowerofAIforEnergyManagement. About Bidgely Bidgely AIpowered SaaS Company enables utilities create greater business value accelerate path zero carbon delivering personalized customer experience. Powered unique patented technology, Bidgelys UtilityAI Platform transforms multiple dimensions customer data energy consumption, demographic, interactions deeply accurate actionable consumer energy insights. We leverage insights empower customer personalized recommendations, tailored individual personality lifestyle, usage attributes, behavioral patterns, purchase propensity, beyond. From smart thermostats EV chargers, solar PVs personalized ToU tariffs, UtilityAI recommends new valueadded products services right customer right time. With roots Silicon Valley, Bidgely 15 energy patents, 50M funding, retains 30 data scientists, brings passion AI utilities serving residential customers world. For information, visit Bidgely blog blog. Christine Bennett Bidgely press businesswire Post navigation Rand Capital Announces First Quarter 2020 Financial Results Conference Call WebcastUnited States Piezoelectric Devices Market 2019 2025 Featuring APC International, CeramTec CTS Among Others Press Releases Stanford Live Presents Scott Joplins Treemonisha Add Your Press Release TodayPR Newswire Proudly powered WordPress Theme: FreeNews By . Go Top | 2,020 | [
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https://www.seattlepi.com/news/article/Lost-your-job-due-to-coronavirus-Artificial-15466476.php | 2020-08-07T00:00:00 | en | Lost your job due to coronavirus? Artificial intelligence could be your best friend in finding a new one - seattlepi.com |
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Lost your job due to coronavirus? Artificial intelligence could be your best friend in finding a new one
Stewart Black, INSEAD
Published
6:03 am PDT, Friday, August 7, 2020
(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.)
Stewart Black, INSEAD and Patrick van Esch, Auckland University of Technology
(THE CONVERSATION) Millions of Americans are unemployed and looking for work. Hiring continues, but there’s far more demand for jobs than supply.
As scholars of human resources and management, we believe artificial intelligence could be a boon for job seekers who need an edge in a tight labor market like today’s.
What’s more, our research suggests it can make the whole process of finding and changing jobs much less painful, more effective and potentially more lucrative.
Make me a match
Over the last three years, we’ve intensely studied the role of AI in recruiting. This research shows that job candidates are positively inclined to use AI in the recruiting process and find it more convenient than traditional analog approaches.
Although companies have been usingAI in hiring for a few years, job applicants have only recently begun to discover the power of artificial intelligence to help them in their search.
In the old days, if you wanted to see what jobs were out there, you had to go on a job board like Monster.com, type in some keywords, and then get back hundreds or even thousands of open positions, depending on the keywords you used. Sorting through them all was a pain.
Today, with AI and companies like Eightfold, Skillroads and Fortay, it is less about job search and more about matchmaking. You answer a few questions about your capabilities and preferences and provide a link to your LinkedIn or other profiles. AI systems that have already logged not just open jobs but also analyzed the companies behind the openings – based on things like reputation, culture and performance – then produce match reports showing the best fits for you in terms of job and company.
Typically, there is an overall match score expressed as a percentage from 0% to 100% for each job. In many cases the report will even tell you which skills or capabilities you lack – or have not included – and how much their inclusion would increase your match score. The intent is to help you spend your time on opportunities that are more likely to result in your getting hired and being happy with the job and company after the hire.
Crafting a winning CV
Usually, when you look for a job, you apply to lots of openings and companies at the same time. That means two choices: save time by sending each one a mostly generic resume, with minor tweaks for each, or take the time and effort to adjust and tailor your resume to better fit specific jobs.
Today, AI tools can help customize your resume and cover letter for you. They can tell you what capabilities you might want to add to your resume, show how such additions would influence your chances of being hired and even rewrite your resume to better fit a specific job or company. They can also analyze you, the job and the company and craft a customized cover letter.
While researchers have not yet systemically examined the quality of human- versus AI-crafted cover letters, the AI-generated samples we’ve reviewed are difficult to distinguish from the ones we’ve seen MBA graduates write for themselves over the last 30 years as professors. Granted, for lots of lower-level jobs, cover letters are relics of the past. But for higher-level jobs, they are still used as an important screening mechanism.
Show me the money
Negotiations over compensation are another thorny issue in the job search.
Traditionally, applicants have been at a distinct informational disadvantage, making it harder to negotiate for the salary they may deserve based on what others earn for similar work. Now AI-enabled reports from PayScale.com, Salary.com, LinkedIn Salary and others provide salary and total compensation reports tailored to job title, education, experience, location and other factors. The data comes from company reported numbers, government statistics and self-reported compensation.
For self-reported data, the best sites conduct statistical tests to ensure the validity and accuracy of the data. This is only possible with large databases and serious number crunching abilities. PayScale.com, for example, has over 54 million respondents in its database and surveys more than 150,000 people per month to keep its reports up-to-date and its database growing.
Although no academics have yet tested if these reports result in better compensation packages than in the old days, research has long established that negotiating in general gets candidates better compensation offers, and that more information in that process is better than less.
[Deep knowledge, daily. Sign up for The Conversation’s newsletter.]
Growing use of AI in hiring
Use of these tools is growing, especially among young people.
A survey we conducted in 2018 found that half of employed workers aged 18 to 36 said that they were likely or highly likely to use AI tools in the job search and application process. And 64% of these respondents felt that AI-enabled tools were more convenient.
Most of the research on the use of AI in the hiring process – including our own – has focused on recruitment, however, and the use of the technology is expected to double over the next two years. We’ve found it to be effective for companies, so it seems logical that it can be very useful for job candidates as well. In fact, at least US$2 billion in investments are fueling human resources startups aimed at using AI to help job candidates, according to our analysis of Crunchbase business data.
While more research is needed to determine exactly how effective these AI-enabled tools actually are, Americans who lost their jobs due to the coronavirus could use all the help they can get.
This article is republished from The Conversation under a Creative Commons license. Read the original article here: https://theconversation.com/lost-your-job-due-to-coronavirus-artificial-intelligence-could-be-your-best-friend-in-finding-a-new-one-131536.
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| Lost your job due to coronavirus? Artificial intelligence could be your best friend in finding a new one | Lost job coronavirus? Artificial intelligence best friend finding new Home Archives Blogs Privacy Notice Terms Use Inslee announces phased approach reopening Washington Inslee recommends highrisk WA counties use distance learning, Inslee takes lead early primary election returns Activists push Seattle police chiefs letter city US World Crime Business U.S. Washington D.C. 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Artificial intelligence best friend finding new Stewart Black, INSEAD Published 6:03am PDT, Friday, August 7, 2020 The Conversation independent nonprofit source news, analysis commentary academic experts. Stewart Black, INSEAD Patrick van Esch, Auckland University Technology THE CONVERSATION Millions Americans unemployed looking work. Hiring continues, theres far demand jobs supply. As scholars human resources management, believe artificial intelligence boon job seekers need edge tight labor market like todays. Whats more, research suggests process finding changing jobs painful, effective potentially lucrative. Make match Over years, weve intensely studied role AI recruiting. This research shows job candidates positively inclined use AI recruiting process convenient traditional analog approaches. Although companies usingAI hiring years, job applicants recently begun discover power artificial intelligence help search. In old days, wanted jobs there, job board like , type keywords, hundreds thousands open positions, depending keywords used. Sorting pain. Today, AI companies like Eightfold, Skillroads Fortay, job search matchmaking. You answer questions capabilities preferences provide link LinkedIn profiles. AI systems logged open jobs analyzed companies openings based things like reputation, culture performance produce match reports showing best fits terms job company. Typically, overall match score expressed percentage 0 100 job. In cases report tell skills capabilities lack included inclusion increase match score. The intent help spend time opportunities likely result getting hired happy job company hire. Crafting winning CV Usually, look job, apply lots openings companies time. That means choices: save time sending generic resume, minor tweaks each, time effort adjust tailor resume better fit specific jobs. Today, AI tools help customize resume cover letter you. They tell capabilities want add resume, additions influence chances hired rewrite resume better fit specific job company. They analyze you, job company craft customized cover letter. While researchers systemically examined quality human versus AIcrafted cover letters, AIgenerated samples weve reviewed difficult distinguish ones weve seen MBA graduates write 30 years professors. Granted, lots lowerlevel jobs, cover letters relics past. But higherlevel jobs, important screening mechanism. Show money Negotiations compensation thorny issue job search. Traditionally, applicants distinct informational disadvantage, making harder negotiate salary deserve based earn similar work. Now AIenabled reports , , LinkedIn Salary provide salary total compensation reports tailored job title, education, experience, location factors. The data comes company reported numbers, government statistics selfreported compensation. For selfreported data, best sites conduct statistical tests ensure validity accuracy data. This possible large databases number crunching abilities. , example, 54 million respondents database surveys 150,000 people month reports uptodate database growing. Although academics tested reports result better compensation packages old days, research long established negotiating general gets candidates better compensation offers, information process better less. [Deep knowledge, daily. Sign The Conversations newsletter.] Growing use AI hiring Use tools growing, especially young people. A survey conducted 2018 half employed workers aged 18 36 said likely highly likely use AI tools job search application process. And 64 respondents felt AIenabled tools convenient. Most research use AI hiring process including focused recruitment, however, use technology expected double years. Weve effective companies, logical useful job candidates well. In fact, US2 billion investments fueling human resources startups aimed AI help job candidates, according analysis Crunchbase business data. While research needed determine exactly effective AIenabled tools actually are, Americans lost jobs coronavirus use help get. This article republished The Conversation Creative Commons license. Read original article here: PARTNER CONTENT Most Popular 1 These Seattle bars, restaurants closed... 2 City Council rejects proposals slash police budget half 3 See court: ACLU files nearly 400 cases versus Trump 4 Inslee recommends highrisk counties use distance learning 5 Council pushes Durkan, Best claims defunding SPD 6 How WA students arrive infected COVID19 if... 7 2020 Seattle Seahawks roster projection 2.0: Any UDFAs 53? 8 Portland fines feds illegal fence courthouse 9 The useful 6 Keychain youll 10 Here affordable places live Washington View Comments 2020 Hearst Communications, . 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https://murphyshockeylaw.net/uncategorized/52314/contact-center-ai-software-market-2020-industry-key-players-trends-sales-supply-demand-analysis-forecast-to-2026-oracle-corporation-sap-se-alcatel-lucent-enterprise-avaya-mitel-nexti/ | 2020-11-29T00:00:00 | en | Contact Center AI Software Market 2020 Industry Key Players, Trends, Sales, Supply, Demand, Analysis & Forecast to 2026 | Oracle Corporation, SAP SE, Alcatel-Lucent Enterprise, Avaya, Mitel, Nextiva, VoIP Logic – Murphy's Hockey Law |
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Contact Center AI Software Market 2020 Industry Key Players, Trends, Sales, Supply, Demand, Analysis & Forecast to 2026 | Oracle Corporation, SAP SE, Alcatel-Lucent Enterprise, Avaya, Mitel, Nextiva, VoIP Logic
4 min read
2 hours ago
[email protected]
“Latest Research Report: Contact Center AI Software Market 2020”
Global Contact Center AI Software market 2019 research report provides detailed information regarding market size, trends, share, growth, structure, capacity, cost, revenue, and forecast 2026. This report also entails the overall and comprehensive study of the Contact Center AI Software market with various aspects influencing the growth of the market.
Starting from the basic overview of the industry including applications, classifications, and structure, the research report provides the detailed market analysis for the international markets including development trends, key regions growth status, and competitive landscape analysis. Further, the report also discusses the development policies and plans along with analysis of manufacturing processes and cost structures. This report also states supply and demand numbers, cost, import/export consumption, revenue, and gross margins.
Key Players
The global Contact Center AI Software market has been comprehensively analyzed and the different companies that occupy a large percentage of the market share in the regions mentioned have been listed out in the report. Industry trends that are popular and are causing a resurgence in the market growth are identified. A strategic profile of the companies is also carried out to identify the various subsidiaries that they own in the different regions and who are responsible for daily operations in these regions.
The key players covered in this study Oracle Corporation, SAP SE, Alcatel-Lucent Enterprise, Avaya, Mitel, Nextiva, VoIP Logic, Asterisk, Elastix, NEC, RingCentral, Five9, NICE in Contact, Aspect, 8×8, Inteliwise, and Cisco Systems
“The final report will add the analysis of the Impact of Covid-19 in this report Contact Center AI Software industry.”
Get A Sample Copy – https://www.reportsandmarkets.com/sample-request/covid-19-impact-on-global-contact-center-ai-software-market-report-history-and-forecast-2015-2026-breakdown-data-by-companies-key-regions-types-and-application?utm_source=murphyshockeylaw&utm_medium=34
Research objectives
To study and analyze the global Contact Center AI Software consumption (value & volume) by key regions/countries, product type and application, history data from 2015 to 2019, and forecast to 2026.
To understand the structure of Contact Center AI Software market by identifying its various sub segments.
Focuses on the key global Contact Center AI Software manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Contact Center AI Software with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the consumption of Contact Center AI Software sub markets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Market segmentation
Contact Center AI Software market is split by Type and by Application. For the period 2015-2026, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Research Methodology:
Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.
The report provides insights on the following pointers:
Market Penetration: Provides comprehensive information on Contact Center AI Software offered by the key players in the Global Contact Center AI Software Market
Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Contact Center AI Software Market
Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Contact Center AI Software Market
Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Contact Center AI Software Market
Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Contact Center AI Software Market
The report answers key questions such as:
What will the market size be in 2026 and what will the growth rate be?
What are the key market trends?
What is driving this market?
What are the challenges to market growth?
Who are the key vendors in this market space?
What are the market opportunities and threats faced by the key vendors?
What are the strengths and weaknesses of the key vendors?
Enquiry More About Contact Center AI Software Market Report at @ https://www.reportsandmarkets.com/sample-request/covid-19-impact-on-global-contact-center-ai-software-market-report-history-and-forecast-2015-2026-breakdown-data-by-companies-key-regions-types-and-application?utm_source=murphyshockeylaw&utm_medium=34
Table of Contents: Contact Center AI Software Market
Chapter 1: Overview of Contact Center AI Software Market
Chapter 2: Global Market Status and Forecast by Regions
Chapter 3: Global Market Status and Forecast by Types
Chapter 4: Global Market Status and Forecast by Downstream Industry
Chapter 5: Market Driving Factor Analysis
Chapter 6: Market Competition Status by Major Manufacturers
Chapter 7: Major Manufacturers Introduction and Market Data
Chapter 8: Upstream and Downstream Market Analysis
Chapter 9: Cost and Gross Margin Analysis
Chapter 10: Marketing Status Analysis
Chapter 11: Market Report Conclusion
Chapter 12: Research Methodology and Reference
About us
ReportsAndMarkets.com allocates the globally available market research and many company reports from reputed market research companies that are a pioneer in their respective domains. We are completely an autonomous group and serves our clients by offering the trustworthy available research stuff, as we know this is an essential aspect of Market Research.
Contact Us:
Sanjay Jain
Manager – Partner Relations & International Marketing
www.reportsandmarkets.com
Ph: +1-352-353-0818 (US)
Tags: Contact Center AI Software Contact Center AI Software Forecast Contact Center AI Software Industry Contact Center AI Software Market Contact Center AI Software Market CAGR Growth Contact Center AI Software Market Opportunity Contact Center AI Software Price Contact Center AI Software Share Contact Center AI Software Trends Coronavirus COVID-19 Effect of COVID-19
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| Contact Center AI Software Market 2020 Industry Key Players, Trends, Sales, Supply, Demand, Analysis & Forecast to 2026 | Center AI Software Market 2020 Industry Key Players, Trends, Sales, Supply, Demand, Analysis Forecast 2026 Oracle Corporation, SAP SE, AlcatelLucent Enterprise, Avaya, Mitel, Nextiva, VoIP Logic Murphys Hockey Law Skip content November 29, 2020 Murphys Hockey Law Primary Menu All News Energy News Space for: HomeAll News Center AI Software Market 2020 Industry Key Players, Trends, Sales, Supply, Demand, Analysis Forecast 2026 Oracle Corporation, SAP SE, AlcatelLucent Enterprise, Avaya, Mitel, Nextiva, VoIP Logic All News News Center AI Software Market 2020 Industry Key Players, Trends, Sales, Supply, Demand, Analysis Forecast 2026 Oracle Corporation, SAP SE, AlcatelLucent Enterprise, Avaya, Mitel, Nextiva, VoIP Logic 4 min read 2 hours ago [emailprotected] Latest Research Report: Center AI Software Market 2020 Global Center AI Software market 2019 research report provides detailed information market size, trends, share, growth, structure, capacity, cost, revenue, forecast 2026. This report entails overall comprehensive study Center AI Software market aspects influencing growth market. Starting basic overview industry including applications, classifications, structure, research report provides detailed market analysis international markets including development trends, key regions growth status, competitive landscape analysis. Further, report discusses development policies plans analysis manufacturing processes cost structures. This report states supply demand numbers, cost, importexport consumption, revenue, gross margins. Key Players The global Center AI Software market comprehensively analyzed different companies occupy large percentage market share regions mentioned listed report. Industry trends popular causing resurgence market growth identified. A strategic profile companies carried identify subsidiaries different regions responsible daily operations regions. The key players covered study Oracle Corporation, SAP SE, AlcatelLucent Enterprise, Avaya, Mitel, Nextiva, VoIP Logic, Asterisk, Elastix, NEC, RingCentral, Five9, NICE , Aspect, 88, Inteliwise, Cisco Systems The final report add analysis Impact Covid19 report Center AI Software industry. Get A Sample Copy Research objectives To study analyze global Center AI Software consumption value volume key regionscountries, product type application, history data 2015 2019, forecast 2026. To understand structure Center AI Software market identifying sub segments. Focuses key global Center AI Software manufacturers, define, analyze sales volume, value, market share, market competition landscape, SWOT analysis development plans years. To analyze Center AI Software respect individual growth trends, future prospects, contribution total market. To share detailed information key factors influencing growth market growth potential, opportunities, drivers, industryspecific challenges risks. To project consumption Center AI Software sub markets, respect key regions respective key countries. To analyze competitive developments expansions, agreements, new product launches, acquisitions market. To strategically profile key players comprehensively analyze growth strategies. Market segmentation Center AI Software market split Type Application. For period 20152026, growth segments provide accurate calculations forecasts sales Type Application terms volume value. This analysis help expand business targeting qualified niche markets. Research Methodology: Our market forecasting based market model derived market connectivity, dynamics, identified influential factors assumptions market made. These assumptions enlightened factbases, primary secondary research instruments, regressive analysis extensive connect industry people. Market forecasting derived indepth understanding attained future market spending patterns provides quantified insight support decisionmaking process. The interview recorded, information gathered drawing board information collected secondary research. The report provides insights following pointers: Market Penetration: Provides comprehensive information Center AI Software offered key players Global Center AI Software Market Product Development Innovation: Provides intelligent insights future technologies, RD activities, new product developments Global Center AI Software Market Market Development: Provides indepth information lucrative emerging markets analyzes markets Global Center AI Software Market Market Diversification: Provides detailed information new products launches, untapped geographies, recent developments, investments Global Center AI Software Market Competitive Assessment Intelligence: Provides exhaustive assessment market shares, strategies, products, manufacturing capabilities leading players Global Center AI Software Market The report answers key questions as: What market size 2026 growth rate be? What key market trends? What driving market? What challenges market growth? Who key vendors market space? What market opportunities threats faced key vendors? What strengths weaknesses key vendors? Enquiry More About Center AI Software Market Report @ Table Contents: Center AI Software Market Chapter 1: Overview Center AI Software Market Chapter 2: Global Market Status Forecast Regions Chapter 3: Global Market Status Forecast Types Chapter 4: Global Market Status Forecast Downstream Industry Chapter 5: Market Driving Factor Analysis Chapter 6: Market Competition Status Major Manufacturers Chapter 7: Major Manufacturers Introduction Market Data Chapter 8: Upstream Downstream Market Analysis Chapter 9: Cost Gross Margin Analysis Chapter 10: Marketing Status Analysis Chapter 11: Market Report Conclusion Chapter 12: Research Methodology Reference About allocates globally available market research company reports reputed market research companies pioneer respective domains. We completely autonomous group serves clients offering trustworthy available research stuff, know essential aspect Market Research. Us: Sanjay Jain Manager Partner Relations International Marketing Ph: 13523530818 US Tags: Center AI Software Center AI Software Forecast Center AI Software Industry Center AI Software Market Center AI Software Market CAGR Growth Center AI Software Market Opportunity Center AI Software Price Center AI Software Share Center AI Software Trends Coronavirus COVID19 Effect COVID19 Continue Reading Previous Medical Foam Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics Research Methodology Forecast 2026Next Automotive Permanent Magnet Synchronus Motor Market 2020 InDepth Analysis Industry Share, Size, Growth Outlook 2026 Electric Group China, Kofu Meidensha Electric Japan, Mitsubishi Heavy Industries Japan, Myway Plus Japan More Stories 4 min read News Coated Endotracheal Tube Market Report 2020 COVID19 Impact Analysis By Segmentations, Key Company Profiles Demand Forecasts 2026 2 seconds ago CredibleMarkets 4 min read News Coenzyme Q10 CoQ10 Market Overview Detailed Analysis, Competitive landscape, Future Growth Forecast 20202026 9 seconds ago CredibleMarkets 4 min read News Cognitive Memory Enhancer Drugs Market 2020 Strategic Analysis, Growth Drivers, Industry Trends, Demand Future Opportunities till 2026 15 seconds ago CredibleMarkets for: Recent Posts Coated Endotracheal Tube Market Report 2020 COVID19 Impact Analysis By Segmentations, Key Company Profiles Demand Forecasts 2026 Coenzyme Q10 CoQ10 Market Overview Detailed Analysis, Competitive landscape, Future Growth Forecast 20202026 Cognitive Memory Enhancer Drugs Market 2020 Strategic Analysis, Growth Drivers, Industry Trends, Demand Future Opportunities till 2026 Cognitive Assessment Training Healthcare Market Outlook 2020 Pricing Strategy, Industry Latest News, Top Company Analysis, Research Report Analysis Share Forecast 2026 Collagen Meniscus Implant Market 2020 Global Key Players, Types, Applications, Countries, Industry Size Forecast 2026 You missed 4 min read News Coated Endotracheal Tube Market Report 2020 COVID19 Impact Analysis By Segmentations, Key Company Profiles Demand Forecasts 2026 2 seconds ago CredibleMarkets 4 min read News Coenzyme Q10 CoQ10 Market Overview Detailed Analysis, Competitive landscape, Future Growth Forecast 20202026 9 seconds ago CredibleMarkets 4 min read News Cognitive Memory Enhancer Drugs Market 2020 Strategic Analysis, Growth Drivers, Industry Trends, Demand Future Opportunities till 2026 15 seconds ago CredibleMarkets 4 min read News Cognitive Assessment Training Healthcare Market Outlook 2020 Pricing Strategy, Industry Latest News, Top Company Analysis, Research Report Analysis Share Forecast 2026 21 seconds ago CredibleMarkets All News Energy News Space . 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https://www.inverse.com/science/trace-fossil-scanning-answers-big-questions-about-human-evolution | 2020-04-17T00:00:00 | en | Machine learning solves a mysterious problem linked to ancient poop | Machine learning solves a mysterious problem linked to ancient poopNina Pullano3 hours agoFecal fossilsMachine learning solves a mysterious problem linked to ancient poop"The archeological record is full of dog poop."In their quest to unearth the hidden mysteries of human evolution, archaeologists have been held up by a peculiar fossil phenomenon. Human feces, it turns out, are nearly indistinguishable from those left by a dog.That can confound research since scientists aren’t sure if they’re analyzing excrement that will ultimately answer questions about people or canines. Crucially, researchers announced Friday that they've developed a new method of screening scat.By combining DNA analysis with machine learning, scientists now have a new way to scan fossilized feces —technically called coprolites. The researchers trained their technology on modern human feces, teaching it to look for the specific microbes that humans have — and rule out other coprolites as non-human. This allows them to determine if the coprolites came from a human or a dog. This method, called coproID, is detailed in a study published in the journal PeerJ. An example of fossilized feces, now confirmed to be from an ancient human.Borry et. al., 2020Scanning the archaeological record — Looking at coprolites can tell archaeologists a lot about human behavior in the past. It gives clues as to ancient health and diet — both human and animal — as well as the evolution of parasites and changes in the microbiome over time.To get that data, however, researchers need to know whose trace fossils they're actually studying — human or otherwise. Historically, that has presented a challenge, since human poop doesn't look all that different from dog poop. Both types of feces are similar in size and shape, they occur simultaneously at archaeological sites, and domesticated dogs eat similar diets to their human friends. Plus, dogs sometimes eat human garbage, including, yes, human poop. And in many ancient cultures, dogs weren't just pets and working animals — they were food. Because of that crossover, previous methods of analyzing the source of paleofeces — looking at DNA alone to make genetic inferences — have often turned up inaccurate, with traces of dog DNA in human feces and vice versa. Coprolites from a dog, discovered in China's Anhui Province.Jada Ko/Anhui Provincial Institute of Cultural Relics and ArchaeologyThat’s where the new poo-scanning technology can clear things up. Already, it has turned up some surprises, says senior study author Christina Warinner, a professor at Harvard University’s Radcliffe Institute for Advanced Study.“One unexpected finding of our study is the realization that the archaeological record is full of dog poop,” Warinner said in a statement.In the future, coproID could help push forward fields like forensics, ecology, and studies of the microbiome, Warinner said. Those insights could provide new information about how humans developed a number of health issues — like intolerance to certain foods. "Given the importance of the gut microbiome in human health, there is great interest in understanding its recent evolutionary and ecological history," write the authors of the study. Remains of a chamberpot discovered in Surrey in the United Kingdom.Borry et. al., 2020Parsing man from man's best friend — How can you tell the difference between ancient human and ancient dog feces? First, the researchers analyzed DNA within modern human and dog droppings to see where exactly the content of their feces differs. Then, they compared those differences in DNA to previously discovered coprolites. The team analyzed a total of 21 samples from around the world, including from China, Mexico, Ireland, Portugal, Germany, England, Slovakia, and Spain. In turn, they were able to accurately predict where these ancient feces came from, and identify colonies of microbes that lived inside both ancient humans and dogs.Coprolites are a window into the past — Researchers have used coprolites to learn more about other animals besides humans and dogs. In one 2017 study, scientists used a particle accelerator to look at 250 million-year-old dinosaur poop. The team used a synchrotron to identify the contents of the ancient dino poo — bits of fish and insects — and thus determine that it came from an extinct lungfish. Coprolites are so interesting to one eccentric collector, George Frandsen, that he's collected more than 5,000 specimens — earning him the Guinness World Record for the largest collection of fossilized poop. Frandsen's global collection ranges from 10,000 to 400 million years old — and from a tiny poo speck to a whopping four-pounder. Online, Frandsen curates the Poozeum, as Inverse reported in 2016. As collector's items, coprolites might not be for everyone. But as research tools — whether illuminating human history or the prehistoric food web — these fossilized feces may be a crucial tool, helping scientists uncover some of history's oldest secrets. Abstract: Shotgun metagenomics applied to archaeological feces (paleofeces) can bring new insights into the composition and functions of human and animal gut microbiota from the past. However, paleofeces often undergo physical distortions in archaeological sediments, making their source species difficult to identify on the basis of fecal morphology or microscopic features alone. Here we present a reproducible and scalable pipeline using both host and microbial DNA to infer the host source of fecal material. We apply this pipeline to newly sequenced archaeological specimens and show that we are able to distinguish morphologically similar human and canine paleofeces, as well as non-fecal sediments, from a range of archaeological contexts.Related TagsBiologyHistoryShare:More like thisScience4.9.2020 3:00 PMDiscovery gives crucial new insight into Neanderthals' mindsBy Sarah SloatScience4.6.2020 4:00 AMCold War nuclear bomb testing reveals an enduring underwater mysteryBy Nina PullanoScience4.2.2020 6:10 PM2 million-year-old ancient human skull fossils rewrite the “story of us”By Ali PattilloEARN REWARDS & LEARN SOMETHING NEW EVERY DAY.SUBMITResults for:ScienceInnovationEntertainmentMind and BodyGamingCultureNewslettersAboutNewsletterTermsTopicsPrivacyArchiveDMCABrowseAdvertiseContactINVERSE © 2020 Bustle Digital Group | Machine learning solves a mysterious problem linked to ancient poop | Machine learning solves mysterious problem linked ancient poopNina Pullano3 hours agoFecal fossilsMachine learning solves mysterious problem linked ancient poopThe archeological record dog poop.In quest unearth hidden mysteries human evolution, archaeologists held peculiar fossil phenomenon. Human feces, turns out, nearly indistinguishable left dog.That confound research scientists arent sure theyre analyzing excrement ultimately answer questions people canines. Crucially, researchers announced Friday theyve developed new method screening scat.By combining DNA analysis machine learning, scientists new way scan fossilized feces technically called coprolites. The researchers trained technology modern human feces, teaching look specific microbes humans rule coprolites nonhuman. This allows determine coprolites came human dog. This method, called coproID, detailed study published journal PeerJ. An example fossilized feces, confirmed ancient human.Borry et. al., 2020Scanning archaeological record Looking coprolites tell archaeologists lot human behavior past. It gives clues ancient health diet human animal evolution parasites changes microbiome time.To data, however, researchers need know trace fossils theyre actually studying human otherwise. Historically, presented challenge, human poop doesnt look different dog poop. Both types feces similar size shape, occur simultaneously archaeological sites, domesticated dogs eat similar diets human friends. Plus, dogs eat human garbage, including, yes, human poop. And ancient cultures, dogs werent pets working animals food. Because crossover, previous methods analyzing source paleofeces looking DNA genetic inferences turned inaccurate, traces dog DNA human feces vice versa. Coprolites dog, discovered Chinas Anhui Province.Jada KoAnhui Provincial Institute Cultural Relics ArchaeologyThats new pooscanning technology clear things up. Already, turned surprises, says senior study author Christina Warinner, professor Harvard Universitys Radcliffe Institute Advanced Study.One unexpected finding study realization archaeological record dog poop, Warinner said statement.In future, coproID help push forward fields like forensics, ecology, studies microbiome, Warinner said. Those insights provide new information humans developed number health issues like intolerance certain foods. Given importance gut microbiome human health, great understanding recent evolutionary ecological history, write authors study. Remains chamberpot discovered Surrey United Kingdom.Borry et. al., 2020Parsing man mans best friend How tell difference ancient human ancient dog feces? First, researchers analyzed DNA modern human dog droppings exactly content feces differs. Then, compared differences DNA previously discovered coprolites. The team analyzed total 21 samples world, including China, Mexico, Ireland, Portugal, Germany, England, Slovakia, Spain. In turn, able accurately predict ancient feces came from, identify colonies microbes lived inside ancient humans dogs.Coprolites window past Researchers coprolites learn animals humans dogs. In 2017 study, scientists particle accelerator look 250 millionyearold dinosaur poop. The team synchrotron identify contents ancient dino poo bits fish insects determine came extinct lungfish. Coprolites interesting eccentric collector, George Frandsen, hes collected 5,000 specimens earning Guinness World Record largest collection fossilized poop. Frandsens global collection ranges 10,000 400 million years old tiny poo speck whopping fourpounder. Online, Frandsen curates Poozeum, Inverse reported 2016. As collectors items, coprolites everyone. But research tools illuminating human history prehistoric food web fossilized feces crucial tool, helping scientists uncover historys oldest secrets. Abstract: Shotgun metagenomics applied archaeological feces paleofeces bring new insights composition functions human animal gut microbiota past. However, paleofeces undergo physical distortions archaeological sediments, making source species difficult identify basis fecal morphology microscopic features alone. Here present reproducible scalable pipeline host microbial DNA infer host source fecal material. We apply pipeline newly sequenced archaeological specimens able distinguish morphologically similar human canine paleofeces, nonfecal sediments, range archaeological contexts.Related TagsBiologyHistoryShare:More like thisScience4.9.2020 3:00 PMDiscovery gives crucial new insight Neanderthals mindsBy Sarah SloatScience4.6.2020 4:00 AMCold War nuclear bomb testing reveals enduring underwater mysteryBy Nina PullanoScience4.2.2020 6:10 PM2 millionyearold ancient human skull fossils rewrite story usBy Ali PattilloEARN REWARDS LEARN SOMETHING NEW EVERY DAY.SUBMITResults for:ScienceInnovationEntertainmentMind BodyGamingCultureNewslettersAboutNewsletterTermsTopicsPrivacyArchiveDMCABrowseAdvertiseINVERSE 2020 Bustle Digital Group | 2,020 | [
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https://wxow.com/2020/10/02/parkland-parents-create-ai-video-of-slain-son-to-spur-voters/ | 2020-10-02T00:00:00 | en | Parkland parents create AI video of slain son to spur voters |
Parkland parents create AI video of slain son to spur voters
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Parkland parents create AI video of slain son to spur voters
October 2, 2020
11:33 am
Associated Press
National news from the Associated Press
FORT LAUDERDALE, Fla. (AP) — A teenager killed in the Parkland school massacre is urging his peers to vote in a newly released computer-generated video. The realistic video created through artificial intelligence shows Joaquin Oliver wearing his signature hoodie and beanie, an earbud casually hanging from one ear. His parents created the video released Friday for their organization Change The Ref to empower young people to engage in politics and other issues. The 17-year-old was among the 17 killed in the 2018 Valentine’s Day massacre at Marjorie Stoneman Douglas High School. Next month’s election would have been his first chance to vote.
Associated Press
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| Parkland parents create AI video of slain son to spur voters | Parkland parents create AI video slain son spur voters tornado hurricane strongtstorms wintrymix freezingrain freezingdrizzle lightrain rain flurries snow blowingsnow sleet fog wind cloudy mostlycloudynight partlycloudynight partlycloudy clearnight sun mostlyclearnight mostlysunny isolatedtstorms scatteredtstorms heavyrain scatteredsnow heavysnow default scatteredshowersnight scatteredsnownight scatteredtstormsnight mostlycloudy chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Skip Content La Crosse 52 Winona 46 Black River Falls 49 Decorah 48 Sparta 47 Prairie Du Chien 51 Winona 37 RochesterSt. MaryS 46 Home WXOW Celebrates 50 years News News 19 Daybreak Back To School Crime Courts PoliticsYour Voice Your Vote How vote November Health Get WXOW News App Today Ask Alexa latest WXOW News COVID19 COVID19 News What look for: COVID19 Symptoms Preventing spread COVID19 Resources help cope time crisis Find COVID19 Informational Links Here Weather Interactive Radar StormTracker Forecast Weather Service Alerts Weather Now WXOW Virtual Weather Academy WXOW Fall Color Finder Closings Delays Submit Closings Delays Traffic Cams Roads Weather Wednesdays Weather Photos Download WXOW Weather App Sign WXOW weather emails Sports Wisconsin Prep Scoreboard Minnesota Prep Scoreboard College Pro Scoreboard Senior Spotlight High School Sports Links Local Sports Links College Links Pro Sports Links Outdoors Green Bay Packers 2020 schedule Minnesota Vikings 2020 schedule Community Hometown Conversations WATCH LIVE: Decorah eagles Community Calendar Jefferson Awards Multiplying Good Obituaries Contests Tools For Schools Watch TV Listings WXOW Live Stream 19.1 ABC Network 19.2 La CrosseEau Claire CW 19.3 Decades TV 19.4 Court TV 19.5 Justice Network Discover Wisconsin Live Kelly Ryan Rachael Ray Meet WXOW Team Advertise WXOW Advertiser Services Sign Email Alerts Careers WXOW Quincy Media Careers Parkland parents create AI video slain son spur voters October 2, 2020 11:33 Associated Press National news Associated Press FORT LAUDERDALE, Fla. AP A teenager killed Parkland school massacre urging peers vote newly released computergenerated video. The realistic video created artificial intelligence shows Joaquin Oliver wearing signature hoodie beanie, earbud casually hanging ear. His parents created video released Friday organization Change The Ref empower young people engage politics issues. The 17yearold 17 killed 2018 Valentines Day massacre Marjorie Stoneman Douglas High School. Next months election chance vote. Associated Press Related Articles The Latest: Neighbor: Cops said drugdealing girl shot gun October 2, 2020 1:06 pm Grand jury audio details moments Breonna Taylor died October 2, 2020 1:05 pm Armenia ready talk ceasefire amid Azerbaijan clashes October 2, 2020 1:03 pm Voting nearly impossible eligible voters bars October 2, 2020 1:02 pm STORMTRACKER 19 WEATHER Quite chilly forecast Temperatures going drop low mid 30s most, I think upper NA Closings Delays CONNECT WITH WXOWWATCH WXOW WXOW 3705 CTH 25 La Crescent, MN 55947 Phone: 5078951919 8009479969 Email: aedesk Careers Advertise Advertiser Services FCC Public File Public File Help EEO Report Closed Captioning Looking something? All content 2000 2020, WXOW Television, . . Ad Choices Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset | 2,020 | [
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https://m.hindustantimes.com/india-news/it-ministry-pushes-for-ai-boost-in-india/story-vGoigqKPM1dnYv5mheyhwI_amp.html | 2020-10-19T00:00:00 | en | IT ministry pushes for AI boost in India - india news - Hindustan Times |
IT ministry pushes for AI boost in India - india news - Hindustan Times
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Home / India News / IT ministry pushes for AI boost in India
IT ministry pushes for AI boost in India
The project, estimated to cost about Rs 2,000 crore, will include setting up a Centre of Excellence for artificial intelligence and benefits to encourage AI startups.
Updated: Oct 20, 2020, 03:07 IST
By Deeksha Bhardwaj, Hindustan Times New Delhi
IT minister Ravi Shankar Prasad.
(HT photo)
The ministry of electronics and information technology is in the process of sending to the Cabinet a proposal to set up a National Mission for Artificial Intelligence to boost the use of AI in India, HT has learnt. The mission will include government projects that will be rolled out across departments and ministries, officials familiar with the matter said. The project is estimated to cost about Rs 2,000 crore, but the size of the investment is yet to be finalised. “This has been going on for many months, we are still deliberating the details of how exactly to do it but we will be approaching the Cabinet soon,” an official familiar with the matter said on condition of anonymity. “This will include AI projects that benefit startups and maximise the use of the technology in India.” It will also include setting up a Centre of Excellence for artificial intelligence and benefits to encourage AI startups. “There will be moonshot projects and fundamental research projects,” a second official said, also requesting anonymity. “India has data which is the fuel for artificial intelligence. Google and Amazon are thriving on it.” The official added that the two tech giants use natural language processing to assess people’s needs. “They seamlessly pick up languages, say for example Bhojpuri, and respond to the data; we should also be able to do that,” the official added. Once it comes to fruition, the project will then focus on analysing data needs and responding accordingly for people across India. The note to sent to the cabinet is under circulation at MEITY and is in the process of being finalised soon. The ministry of electronics and information technology will collaborate with the private sector, academia and think tanks to develop AI-based products. The ministry has already held a five-day conference, inaugurated by Prime Minister Narendra Modi, on Responsible Artificial Intelligence for Social Empowerment (RAISE) last week. The ministry is increasingly focusing on the use of AI and how it can benefit society. “AI is basically an amalgamation of software and algorithms. The products we create will be able to compete globally,” the official added. Amba Kak, director of global policy and programs at AI Now Institute at New York University, believes that the push sounds similar to the rhetoric surrounding AI across the world. “We are seeing a wave of government promotion of AI, Europe has just recently put out a strategy paper on the same,” said Kak. “There is an industry push behind governments wanting to use more AI, as governments are the biggest customers of software such as facial recognition. We should not be on a predetermined path, data driven technology needs a proper assessment,” she said “The government should ground its AI strategy in evidence of the social and environmental impacts of these technologies, whether they will work in contexts of limited infrastructure, and which communities are likely to benefit more or bear the risk of bias, exclusion and other harms,” Kak added.
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| IT ministry pushes for AI boost in India | IT ministry pushes AI boost India india news Hindustan Times Sections india cities opinion world ipl entertainment games bihar election trending US election education Health WFHLife auto HTLS 2019 gurugram lifestyle realestate htweekend epaper sports brandstudiolive photos business htbrand stories lifestyle tech ht school mumbai live updates ht bangla environment science EPaper Home India News IT ministry pushes AI boost India IT ministry pushes AI boost India The project, estimated cost Rs 2,000 crore, include setting Centre Excellence artificial intelligence benefits encourage AI startups. Updated: Oct 20, 2020, 03:07 IST By Deeksha Bhardwaj, Hindustan Times New Delhi ITminister Ravi Shankar Prasad. HT photo The ministry electronics information technology process sending Cabinet proposal set National Mission Artificial Intelligence boost use AI India, HT learnt. The mission include government projects rolled departments ministries, officials familiar matter said. The project estimated cost Rs 2,000 crore, size investment finalised. This going months, deliberating details exactly approaching Cabinet soon, official familiar matter said condition anonymity. This include AI projects benefit startups maximise use technology India. It include setting Centre Excellence artificial intelligence benefits encourage AI startups. There moonshot projects fundamental research projects, second official said, requesting anonymity. India data fuel artificial intelligence. Google Amazon thriving it. The official added tech giants use natural language processing assess peoples needs. They seamlessly pick languages, example Bhojpuri, respond data; able that, official added. Once comes fruition, project focus analysing data needs responding accordingly people India. The note sent cabinet circulation MEITY process finalised soon. The ministry electronics information technology collaborate private sector, academia think tanks develop AIbased products. The ministry held fiveday conference, inaugurated Prime Minister Narendra Modi, Responsible Artificial Intelligence Social Empowerment RAISE week. The ministry increasingly focusing use AI benefit society. AI basically amalgamation software algorithms. The products create able compete globally, official added. Amba Kak, director global policy programs AI Now Institute New York University, believes push sounds similar rhetoric surrounding AI world. We seeing wave government promotion AI, Europe recently strategy paper same, said Kak. There industry push governments wanting use AI, governments biggest customers software facial recognition. We predetermined path, data driven technology needs proper assessment, said The government ground AI strategy evidence social environmental impacts technologies, work contexts limited infrastructure, communities likely benefit bear risk bias, exclusion harms, Kak added. tags Artificial Intelligence Information technology Amazon Narendra Modi SCROLL FOR MORE NEWS news Covid19: What need know today Oct 20, 2020 04:41 IST China: From Covid positive GDP growth Oct 20, 2020 04:41 IST Agricultural exports recover Covidinduced fall Oct 20, 2020 01:11 IST Indias research, manufacturing critical fighting Covid19: Bill Gates Oct 20, 2020 04:41 IST latest news Indias research, manufacturing critical fighting Covid19: Bill Gates Oct 20, 2020 04:41 IST France: Police crackdown beheading teacher Oct 20, 2020 04:22 IST Pakistan police briefly detain Nawaz Sharifs soninlaw Oct 20, 2020 04:09 IST World struggles Covid19 infections cross 40 million Oct 20, 2020 03:54 IST This site uses cookies This site partners use technology cookies personalize content ads analyse traffic. By site agree privacy policy. You change mind revisit choices anytime future. Accept Privacy policy Disclaimer HT Digital Streams Ltd. . | 2,020 | [
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https://braintree.wickedlocal.com/entertainmentlife/20200107/whats-up-doc-ai-and-future | 2020-01-09T00:00:00 | en | What’s Up Doc? AI and the future - Entertainment & Life - Braintree Forum - Braintree, MA |
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What’s Up Doc? AI and the future, 1,000th column
Dr. Jeff Hersh, Daily News Correspondent
Tuesday
Jan 7, 2020 at 10:13 AM
Jan 7, 2020 at 10:13 AM
I have been writing my column for over 20 years, and have written more than 1,000 columns — I do this as a community service and do not accept any payment for it. For my 10 year/500th column, I reviewed some of the changes that had occurred over the prior 10 years. Instead of doing that today, I thought I would take a more futuristic approach.First, some context.Our population is aging: In 2016 about 15% of the U.S. population was over 65 and 23% under 18. By 2035, that will reverse, and those over 65 will outnumber those under 18.• Chronic diseases — high blood pressure, diabetes, etc. — are more common as we get older: 80% of adults over age 65 have a least one chronic medical condition, over 70% have two or more.• Chronic diseases are a factor in over 80% of hospital admissions, 90% of all prescriptions, and account for 75% of all health care dollars spent.From this is it easy to conclude that the challenge of delivering quality health care will be getting greater.However, estimates are that by 2030:• There will be 1 million too few nurses and 100,000 too few physicians.• The volume of medical data is already overwhelming and will soon reach a yottabyte — a one followed by 24 zeros.• The number of hospitals and hospital beds has been declining: from 7,000 hospitals with 1.5 million beds in 1980 to under 6,000 hospitals and under a million beds in 2018.Throwing more money at the problem will not work. The U.S. already spends more money on health care per capita — $10,000 per person and 17% of our gross domestic product — than any other industrialized nation in the world, usually by a factor of two or more, even though the quality of our care — as noted by infant and maternal mortality, life expectancy, quality of life at age 65 and many other factors — is the worst of any industrialized nation.I do not think artificial intelligence in its simplest form — simple AI — where a computer algorithm looks at data and makes a conclusion, can address all the issues above. That is because there are intangible factors, like a clinician’s “gut feeling,” specific context for each patient — personalized medicine where an individual’s risk factors, history, goals, concerns, and other factors are critical in determining the right treatment plan for them — and many other factors that may limit a “simple AI” approach. That is not to say that AI will not have a vital role to play. I can picture AI helping interpret X-rays/other images, leafing through all that medical data to identify trends and perhaps predict onset of medical issues before they become apparent, as well as helping guide more efficient evaluation pathways.The overall approach I have advocated for many years is Interactive Augmented Intelligence, IAI. Here is the concept.The “simple AI” discussed above, including machine learning, etc., plays a key role. For example, many readers may have seen some recent articles noting that AI may be able to interpret mammograms as well as, or even better than, humans. There is a ton of work still to be done here. This is the intelligence in IAI.The concept of IAI adds to this by:• Looking at what “medical knowledge” is out there, including generation of a differential diagnosis, identification of evaluation/treatment guidelines applicable for each condition within the differential diagnosis, as well as trends/patterns in the data collected — which in turn will feed back into generating better differential diagnoses and guidelines going forward: i.e., adding a “top-down” approach.• Interactively discussing all this with the treating clinicians — allowing the clinician’s gut feelings and insight to be factored in.• Taking the results of these to augment the clinician’s thinking to develop a personalized care plan specifically formulated for each individual patient.Working toward this is a “need to have” not a “nice to have”; the impending medical crisis — increased number and severity of patients, decreasing healthcare providers and hospitals, etc. — must be addressed by improving the efficiency, personalization and efficacy of how medical care is delivered and allowing clinicians to “practice to the top” of their experience and licensure.The good news is that there is a lot of work being done to bring these concepts to reality. The bad news is that too much of this work is disjointed and being done in silos in too disconnected a fashion. Despite these hurdles, I have hope that we, as a medical/technology community, will rise to the challenge, and that the quality of medical care will continue to improve.Jeff Hersh, Ph.D., M.D., can be reached at [email protected].
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| What’s Up Doc? AI and the future | Whats Up Doc? AI future Entertainment Life Braintree Forum Braintree, MA Sections NewsSportsEntertainmentLifeObitsCarsJobsHomesClassifiedsScanner Site Archive Log Weather Whats Up Doc? AI future, 1,000th column Dr. Jeff Hersh, Daily News Correspondent Tuesday Jan7,2020at10:13AM Jan7,2020at10:13AM I writing column 20 years, written 1,000 columns I community service accept payment it. For 10 year500th column, I reviewed changes occurred prior 10 years. Instead today, I thought I futuristic approach.First, context.Our population aging: In 2016 15 U.S. population 65 23 18. By 2035, reverse, 65 outnumber 18. Chronic diseases high blood pressure, diabetes, etc. common older: 80 adults age 65 chronic medical condition, 70 more. Chronic diseases factor 80 hospital admissions, 90 prescriptions, account 75 health care dollars spent.From easy conclude challenge delivering quality health care getting greater.However, estimates 2030: There 1 million nurses 100,000 physicians. The volume medical data overwhelming soon reach yottabyte followed 24 zeros. The number hospitals hospital beds declining: 7,000 hospitals 1.5 million beds 1980 6,000 hospitals million beds 2018.Throwing money problem work. The U.S. spends money health care capita 10,000 person 17 gross domestic product industrialized nation world, usually factor more, quality care noted infant maternal mortality, life expectancy, quality life age 65 factors worst industrialized nation.I think artificial intelligence simplest form simple AI algorithm looks data makes conclusion, address issues above. That intangible factors, like clinicians gut feeling, specific context patient personalized medicine individuals risk factors, history, goals, concerns, factors critical determining right treatment plan factors limit simple AI approach. That AI vital role play. I picture AI helping interpret Xraysother images, leafing medical data identify trends predict onset medical issues apparent, helping guide efficient evaluation pathways.The overall approach I advocated years Interactive Augmented Intelligence, IAI. Here concept.The simple AI discussed above, including machine learning, etc., plays key role. For example, readers seen recent articles noting AI able interpret mammograms as, better than, humans. There ton work here. This intelligence IAI.The concept IAI adds by: Looking medical knowledge there, including generation differential diagnosis, identification evaluationtreatment guidelines applicable condition differential diagnosis, trendspatterns data collected turn feed generating better differential diagnoses guidelines going forward: i.e., adding topdown approach. Interactively discussing treating clinicians allowing clinicians gut feelings insight factored in. Taking results augment clinicians thinking develop personalized care plan specifically formulated individual patient.Working need nice have; impending medical crisis increased number severity patients, decreasing healthcare providers hospitals, etc. addressed improving efficiency, personalization efficacy medical care delivered allowing clinicians practice experience licensure.The good news lot work bring concepts reality. The bad news work disjointed silos disconnected fashion. Despite hurdles, I hope we, medicaltechnology community, rise challenge, quality medical care continue improve.Jeff Hersh, Ph.D., M.D., reached DrHersh Sign weekly emails Site ServicesMy ProfileWork UsAdsPhoto reprintsSubmit newsPay Your Ad BillMarket PlaceHomesClassifiedsCommunity InfoTown Braintree Web siteBraintree Public SchoolsThayer Public LibraryBELDB.C.A.M. TelevisionCommunitiesThe Patriot LedgerWickedLocal.comWickedLocal WeymouthWickedLocal HolbrookWicked Local CohassetWicked Local Duxbury Gannett Co., . 2020. . Original content available noncommercial use Creative Commons license, noted. Braintree Forum 600 Cordwainer Drive, Norwell, MA 02061 Do Not Sell My Personal Information Policy Do Not Sell My Personal Information Terms Of Service Your California Privacy Rights Gannett USA TODAY NETWORK Site Archive HomeNewsPolice FirePolice ScannerBuilding CommunityCommunityEducationState NewsShareableBusinessSportsHigh SchoolPros CollegesYouth LeaguesMarijuanaEntertainmentArtsBooksCelebrity NewsMoviesMusicTV GuideLifestyleTime MoneyFoodCelebrationsHealthFaithBoomersFamilyHome GardenTravelOpinionColumnsLettersEditorialsObits MoreWeatherPhotosVideosCelebrationsPodcastsBlogsCalendarSubmit newsContestsBranded Content UsFrom Our AdvertisersSouthern Kitchen rMy ProfileNewsletter Market PlaceBusiness DirectoryReaders ChoiceFindNSaveLegalsClassifiedsCarsJobsHomesAdvertise With UsDigital Marketing ServicesPay Your Ad Bill Feedback Ownership Terms Use Gannett Publications | 2,020 | [
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https://soylentnews.org/article.pl?sid=20/07/23/035215&from=rss | 2020-07-24T00:00:00 | en | Sick of AI Engines Scraping Your Pics for Facial Recognition? Here's a Way to Fawkes Them Right Up - SoylentNews |
Sick of AI Engines Scraping Your Pics for Facial Recognition? Here's a Way to Fawkes Them Right Up - SoylentNews
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chromas
Sick of AI engines scraping your pics for facial recognition? Here's a way to Fawkes them right up
Research paper
GitHub page
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Original Submission
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Also by Fnord666
20/07/23/035215
story
Sick of AI Engines Scraping Your Pics for Facial Recognition? Here's a Way to Fawkes Them Right Up
posted by
Fnord666
on Friday July 24, @02:53AM
[Skip to comment(s)]
from the GIGO dept.
chromas writes:Sick of AI engines scraping your pics for facial recognition? Here's a way to Fawkes them right up:Researchers at the University of Chicago's Sand Lab have developed a technique for tweaking photos of people so that they sabotage facial-recognition systems.The project, named Fawkes in reference to the mask in the V for Vendetta graphic novel and film depicting 16th century failed assassin Guy Fawkes, is described in a paper scheduled for presentation in August at the USENIX Security Symposium 2020.[...] "Our distortion or 'cloaking' algorithm takes the user's photos and computes minimal perturbations that shift them significantly in the feature space of a facial recognition model (using real or synthetic images of a third party as a landmark)," the researchers explain in their paper. "Any facial recognition model trained using these images of the user learns an altered set of 'features' of what makes them look like them."The boffins claim their pixel scrambling scheme provides greater than 95 per cent protection, regardless of whether facial recognition systems get trained via transfer learning or from scratch. They also say it provides about 80 per cent protection when clean, "uncloaked" images leak and get added to the training mix alongside altered snapshots.They claim 100 per cent success at avoiding facial recognition matches using Microsoft's Azure Face API, Amazon Rekognition, and Face++. Their tests involve cloaking a set of face photos and providing them as training data, then running uncloaked test images of the same person against the mistrained model.Research paper (pdf)GitHub page (Python)Project page (unencrypted, heh)
Original Submission
« Waymo is Working on Autonomous Ram ProMaster Vans for Goods Deliveries
Sick of AI Engines Scraping Your Pics for Facial Recognition? Here's a Way to Fawkes Them Right Up
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Comment Below Threshold
Why unencrypted, heh!
(Score: -1, Troll)
by Zinnia Zirconium on Friday July 24, @03:09AM
by Zinnia Zirconium (11163)
on Friday July 24, @03:09AM (#1025651) Homepage Journal
Let's Encrypt is the only encrypt and UChicago is not allowed to Let's Encrypt, heh.Certificates may not be used:For any application requiring fail-safe performance such as a) the operation of nuclear power facilitieshttps://letsencrypt.org/documents/isrg-cps-v2.9/ [letsencrypt.org]Chicago Pile-1 (CP-1) was the world's first artificial nuclear reactor.[...] It was built by the Metallurgical Laboratory at the University of Chicago, under the west viewing stands of the original Stagg Field.https://en.wikipedia.org/wiki/Chicago_Pile-1 [wikipedia.org]Haha!
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Maskbook
Maskbook
(Score: -1, Flamebait)
by Anonymous Coward on Friday July 24, @03:13AM
(1 child)
by Anonymous Coward
on Friday July 24, @03:13AM (#1025653)
Facebook should change its name to reflect the new masked covidiocy.
And yet the deep state of the tighty-righties wants to ban the niqab, which is surely the best defence unless the spooks are Superman and have x-ray vision.
Reply to This
Re:Maskbook
(Score: 0, Troll)
by Zinnia Zirconium on Friday July 24, @04:02AM
by Zinnia Zirconium (11163)
on Friday July 24, @04:02AM (#1025658) Homepage Journal
No because the way everybody except me wears a face mask is around the neck leaving the whole face exposed. Neckmaskers gotta leave the breathing holes uncovered. Neckmaskers gotta spread that virus.
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V for Rose City
(Score: -1, Troll)
by Anonymous Coward on Friday July 24, @03:46AM
by Anonymous Coward
on Friday July 24, @03:46AM (#1025657)
"Remember, remember, the 5th of August, the Border Patrol treason and plot.I no of no reason that the 5th of August should ever be forgot."'Defund, and abolish, and obliterate, Bush's authoritarian Department of Republican Security! Time to go, DHS! These bastards are no Americans!
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| Sick of AI Engines Scraping Your Pics for Facial Recognition? Here's a Way to Fawkes Them Right Up | Sick AI Engines Scraping Your Pics Facial Recognition? Heres Way Fawkes Them Right Up SoylentNews Stories Slash Boxes Comments SoylentNews SoylentNews people Navigation About FAQ Journals Topics Authors Polls Hall Fame Submit Story Subs Queue Buy Gift Sub Create Account Log In Sections SoylentNews Breaking News Community Reviews Meta Politics SoylentNews Twitter IRC Wiki Whos Who? Bug List Dev Server Log In Log In Nickname Password Public Terminal Create Account Retrieve Password Gift Subscription Why Gift Related Links SoylentNews chromas Sick AI engines scraping pics facial recognition? Heres way Fawkes right Research paper GitHub Project Original Submission More Digital Liberty stories More The Main Page stories Also Fnord666 200723035215 story Sick AI Engines Scraping Your Pics Facial Recognition? Heres Way Fawkes Them Right Up posted Fnord666 Friday July 24, [Skip comments] GIGO dept. chromas writes:Sick AI engines scraping pics facial recognition? Heres way Fawkes right up:Researchers University Chicagos Sand Lab developed technique tweaking photos people sabotage facialrecognition systems.The project, named Fawkes reference mask V Vendetta graphic novel film depicting 16th century failed assassin Guy Fawkes, described paper scheduled presentation August USENIX Security Symposium 2020.[...] Our distortion cloaking algorithm takes users photos computes minimal perturbations shift significantly feature space facial recognition model real synthetic images party landmark, researchers explain paper. Any facial recognition model trained images user learns altered set features makes look like them.The boffins claim pixel scrambling scheme provides greater 95 cent protection, regardless facial recognition systems trained transfer learning scratch. They provides 80 cent protection clean, uncloaked images leak added training mix alongside altered snapshots.They claim 100 cent success avoiding facial recognition matches Microsofts Azure Face API, Amazon Rekognition, Face. Their tests involve cloaking set face photos providing training data, running uncloaked test images person mistrained model.Research paper pdfGitHub PythonProject unencrypted, heh Original Submission Waymo Working Autonomous Ram ProMaster Vans Goods Deliveries Sick AI Engines Scraping Your Pics Facial Recognition? Heres Way Fawkes Them Right Up Log InCreate Account Top 4 comments Discussion Display Options ThresholdBreakthrough 1: 4 comments 0: 1 comments 1: 0 comments 2: 0 comments 3: 0 comments 4: 0 comments 5: 0 comments 1: 4 comments 0: 1 comments 1: 0 comments 2: 0 comments 3: 0 comments 4: 0 comments 5: 0 comments Flat No Comments ThreadedTNG ThreadedTOS Oldest First Newest First Reply Article Mark All Read Mark All Unread The Fine Print: The following comments owned posted them. We responsible way. 1 Comment Below Threshold Why unencrypted, heh Score: 1, Troll Zinnia Zirconium Friday July 24, Zinnia Zirconium 11163 Friday July 24, 1025651 Home Journal Lets Encrypt encrypt UChicago allowed Lets Encrypt, heh.Certificates used:For application requiring failsafe performance operation nuclear power facilities []Chicago Pile1 CP1 worlds artificial nuclear reactor.[...] It built Metallurgical Laboratory University Chicago, west viewing stands original Stagg Field. []Haha Reply This Comment Below Threshold 1 child Maskbook Maskbook Score: 1, Flamebait Anonymous Coward Friday July 24, 1 child Anonymous Coward Friday July 24, 1025653 Facebook change reflect new masked covidiocy. And deep state tightyrighties wants ban niqab, surely best defence spooks Superman xray vision. Reply This Re:Maskbook Score: 0, Troll Zinnia Zirconium Friday July 24, Zinnia Zirconium 11163 Friday July 24, 1025658 Home Journal No way everybody wears face mask neck leaving face exposed. Neckmaskers gotta leave breathing holes uncovered. Neckmaskers gotta spread virus. Reply This Parent Comment Below Threshold V Rose City Score: 1, Troll Anonymous Coward Friday July 24, Anonymous Coward Friday July 24, 1025657 Remember, remember, 5th August, Border Patrol treason plot.I reason 5th August forgot.Defund, abolish, obliterate, Bushs authoritarian Department Republican Security Time go, DHS These bastards Americans Reply This 1 Reply Moderator Help A scientist fixes things arent broken. Home About FAQ Journals Topics Authors Polls Submit Story Buy Gift Sub Create Account Log In : We dont track site, DNT requests arent relevant ignored. We dont collect personally identifiable information email address, which: change time, real place, contact necessary requested, share nobody. | 2,020 | [
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https://www.wfmz.com/news/pr_newswire/pr_newswire_business/sapiens-partners-with-clara-analytics-to-transform-workers-compensation-claims-with-ai/article_6698b71f-2c39-50c9-8f71-3f4c9d741d77.html | 2020-06-04T00:00:00 | en | Sapiens Partners With CLARA Analytics to Transform Workers' Compensation Claims With AI | News | wfmz.com |
Sapiens Partners With CLARA Analytics to Transform Workers' Compensation Claims With AI | News | wfmz.com
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Sapiens Partners With CLARA Analytics to Transform Workers' Compensation Claims With AI
Integrating CLARA analytics' predictive analytics and AI tools with Sapiens' core workers' compensation offering will lead to faster and better decisions for injured workers
By Sapiens International Corporation
Jun 4, 2020
Jun 4, 2020
Updated 14 min ago
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RALEIGH, North Carolina, June 4, 2020 /PRNewswire/ -- Sapiens Americas, a wholly owned subsidiary of Sapiens International Corporation (NASDAQ: SPNS) (TASE: SPNS), a leading global provider of software solutions for the insurance industry, announced today it has entered into an agreement to partner with CLARA analytics, a provider of easy-to-use artificial intelligence (AI)-based products. The company's offerings improve claims outcomes throughout the lifecycle and reduce various sources of loss-costs in claims handling. CLARA analytics' robust predictive analytics tool for workers' compensation claims will be paired with Sapiens CoreSuite for Workers' Compensation to improve customers' processes and provide access to in-depth analysis for proactive risk mitigation. The collaboration will help facilitate interventions for loss-time injured workers who are most likely to benefit from them and the ability to simulate the costs and benefits of existing early intervention programs, under a predictive modeling framework."We are excited about the opportunity to work with Sapiens, a leading global organization, and to empower its workers' compensation claims teams to transform the way workplace injuries are handled, including decisions such as finding the right doctor and prioritizing claims," said Gary Hagmueller, president and CEO, CLARA analytics. "Our tools are designed to be easily implemented into an insurer's existing claims workflow, while reducing costs to provide a significant return on investment." "This strategic alliance will meet the current and future needs of Sapiens' customers in a transparent and efficient way," said Roni Al-Dor, Sapiens president and CEO. "Carriers can discover new claims insights and understand how these discoveries will positively affect the course of a claim, an employee's role within an organization and the insurer's bottom line."Sapiens CoreSuite for Workers' Compensation offers technology solutions that enable companies to quickly adapt to business and market conditions, offering high levels of accuracy and efficiency. The suite provides broad functionality throughout the entire insurance lifecycle for workers' compensation, via a core suite, as well as policy, claims and intelligence modules.About CLARA analyticsCLARA analytics improves claims outcomes in commercial insurance with easy-to-use artificial intelligence (AI)-based products. CLARA's suite helps claims teams reduce claims handling and loss costs by keeping claims on track throughout their lifecycle. The suite uses the latest in AI and machine learning (ML) technology and can integrate easily into any workflow or infrastructure to rapidly start showing value. CLARA's customers include companies from the top 25 global insurance carriers to large third-party administrators and self-insured organizations. Founded in 2015, CLARA analytics is headquartered in Silicon Valley in California. For more information, visit www.claraanalytics.com.About SapiensSapiens International Corporation empowers insurers to succeed in an evolving industry. The company offers digital software platforms, solutions and services for the property & casualty, life, pension & annuity, reinsurance, financial & compliance, workers' compensation and financial markets. With more than 35 years of experience delivering to over 500 organizations globally, Sapiens has a proven ability to satisfy customers' core, data and digital requirements. For more information: www.sapiens.com.Media ContactAlex ZukermanCMO and Chief of Strategy, Sapiens+972 546 724 910 [email protected]
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| Sapiens Partners With CLARA Analytics to Transform Workers' Compensation Claims With AI | Sapiens Partners With CLARA Analytics Transform Workers Compensation Claims With AI News Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Info Election Results Lehigh Valley Berks Regional US World Sunrise Inside Your Town Espanol In Case You Missed It Recalls Wanted Police Missing Persons Good News Weather Forecast Hour Hour Local Radar 69News Weather Channel Stream River Levels Pocono Cameras School Business Closings Send weather report Traffic Live Streaming Cameras Cameras Alerts Lehigh Valley Traffic Berks Traffic I78 Corridor US22 Corridor Weekly Roadwork Pump Prices Sports Video Entertainment Virtual ToDo Freddy Awards Contests Music Monday Program Schedule Features Food Recipes Mr. Food Virtual ToDo What Tech? 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Historys Headlines One Tank Trip Signature Dish Life Lessons Health Beat Positive Parenting Think Tank Freddy Awards Talk With Your Doctor The Wisdom Coalition Give Me Shelter: Perspectives On Youth Violence Community Community Calendar Send Photos Video Send Birthday Photos Adopt Lehigh Valley Kids Furry Friends Employment Business Business News Local Stocks Shop Talk Business Matters Us Email Alerts Mobile Free Apps Employment How Watch Us WFMZTV 69.1 Schedule WFMZTV 69.3 MeTV Schedule WDPNTV 2.4 HI Schedule WDPNTV 2.5 Retro TV Order copy story Internships Meet The Team About WFMZTV WFMZTV 40th Anniversary FCC Public Inspection File Shop Weekly Savings Order copy story Obits Share This Facebook Twitter WhatsApp SMS Email Home News News Sapiens Partners With CLARA Analytics Transform Workers Compensation Claims With AI Integrating CLARA analytics predictive analytics AI tools Sapiens core workers compensation offering lead faster better decisions injured workers By Sapiens International Corporation Jun 4, 2020 Jun 4, 2020 Updated 14 min ago Facebook Twitter WhatsApp SMS Email Sapiens International Corporation Logo PRNewsfotoSapiens International By Sapiens International Corporation Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save RALEIGH, North Carolina, June 4, 2020 PRNewswire Sapiens Americas, wholly owned subsidiary Sapiens International Corporation NASDAQ: SPNS TASE: SPNS, leading global provider software solutions insurance industry, announced today entered agreement partner CLARA analytics, aprovider easytouse artificial intelligence AIbased products. The companys offerings improve claims outcomes lifecycle reduce sources losscosts claims handling. CLARA analytics robust predictive analytics tool workers compensation claims paired Sapiens CoreSuite Workers Compensationto improve customers processes provide access indepth analysis proactive risk mitigation.The collaboration help facilitate interventions losstime injured workers likely benefit ability simulate costs benefits existing early intervention programs, predictive modeling framework.We excited opportunity work Sapiens, leading global organization, empower workers compensation claims teams transform way workplace injuries handled, including decisions finding right doctor prioritizing claims, said Gary Hagmueller, president CEO, CLARA analytics. Our tools designed easily implemented insurers existing claims workflow, reducing costs provide significant return investment.This strategic alliance meet current future needs Sapiens customers transparent efficient way, said Roni AlDor, Sapiens president CEO. Carriers discover new claims insights understand discoveries positively affect course claim, employees role organization insurers line.Sapiens CoreSuite Workers Compensation offers technology solutions enable companies quickly adapt business market conditions, offering high levels accuracy efficiency. The suite provides broad functionality entire insurance lifecycle workers compensation, core suite, policy, claims intelligence modules.About CLARA analyticsCLARA analyticsimproves claims outcomes commercial insurance easytouse artificial intelligence AIbased products. CLARAs suite helps claims teams reduce claims handling loss costs keeping claims track lifecycle. The suite uses latest AI machine learning ML technology integrate easily workflow infrastructure rapidly start showing value. CLARAs customers include companies 25 global insurance carriers large thirdparty administrators selfinsured organizations. Founded 2015, CLARA analytics headquartered Silicon Valley California. For information, visit SapiensSapiens International Corporation empowers insurers succeed evolving industry. The company offers digital software platforms, solutions services property casualty, life, pension annuity, reinsurance,financial compliance, workers compensation financialmarkets. With 35 years experience delivering 500 organizations globally, Sapiens proven ability satisfy customers core, data digital requirements. For information: Alex ZukermanCMO Chief Strategy, Sapiens972 546 724 910 alex.zukerman Recommended Facebook Twitter WhatsApp SMS Email Print Save DISCLAIMER FOR COMMENTS: The views expressed public comments company affiliated companies. 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https://www.americanbankingnews.com/2020/04/06/lisk-machine-learning-trading-up-21-5-this-week-lml.html | 2020-04-06T00:00:00 | en | Lisk Machine Learning Trading Up 21.5% This Week (LML) - American Banking News |
Lisk Machine Learning Trading Up 21.5% This Week (LML) - American Banking News
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Lisk Machine Learning Trading Up 21.5% This Week (LML)
Posted by ABMN Staff on Apr 6th, 2020 // No Comments
Lisk Machine Learning (CURRENCY:LML) traded 1.9% higher against the dollar during the 24 hour period ending at 9:00 AM E.T. on April 6th. Over the last week, Lisk Machine Learning has traded up 21.5% against the dollar. One Lisk Machine Learning token can currently be bought for $0.0047 or 0.00000066 BTC on exchanges including Cryptopia and BitBay. Lisk Machine Learning has a total market capitalization of $566,825.43 and approximately $1,975.00 worth of Lisk Machine Learning was traded on exchanges in the last day.
Here’s how related cryptocurrencies have performed over the last day:
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XRP (XRP) traded 5.1% higher against the dollar and now trades at $0.19 or 0.00002642 BTC.
Tether (USDT) traded up 0.3% against the dollar and now trades at $1.00 or 0.00014032 BTC.
Bitcoin SV (BSV) traded 4.1% higher against the dollar and now trades at $184.23 or 0.02573418 BTC.
Binance Coin (BNB) traded 4.5% higher against the dollar and now trades at $14.35 or 0.00200420 BTC.
InnovativeBioresearchClassic (INNBCL) traded 23.4% lower against the dollar and now trades at $0.0000 or 0.00000000 BTC.
TAGZ5 (TAGZ5) traded up 11.3% against the dollar and now trades at $3.54 or 0.00049452 BTC.
Stellar (XLM) traded 16.2% higher against the dollar and now trades at $0.0487 or 0.00000680 BTC.
TRON (TRX) traded up 8.4% against the dollar and now trades at $0.0133 or 0.00000185 BTC.
Chainlink (LINK) traded 5.5% higher against the dollar and now trades at $2.42 or 0.00033734 BTC.
COZ (COZ) traded 26.7% higher against the dollar and now trades at $0.22 or 0.00004541 BTC.
About Lisk Machine Learning
Lisk Machine Learning’s total supply is 400,000,000 tokens and its circulating supply is 120,000,000 tokens. Lisk Machine Learning’s official Twitter account is @gny_io. The official website for Lisk Machine Learning is www.gny.io/lisk.
Buying and Selling Lisk Machine Learning
Lisk Machine Learning can be traded on these cryptocurrency exchanges: Cryptopia and BitBay. It is usually not possible to purchase alternative cryptocurrencies such as Lisk Machine Learning directly using US dollars. Investors seeking to acquire Lisk Machine Learning should first purchase Ethereum or Bitcoin using an exchange that deals in US dollars such as Changelly, Gemini or Coinbase. Investors can then use their newly-acquired Ethereum or Bitcoin to purchase Lisk Machine Learning using one of the aforementioned exchanges.
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| Lisk Machine Learning Trading Up 21.5% This Week (LML) | Lisk Machine Learning Trading Up 21.5 This Week LML American Banking News Home About Email Newsletter Analyst Ratings Dividends Earnings Estimates Guidance Highs Lows IPOS Options SEC Filings Daily Ratings News Lisk Machine Learning Complete form receive latest headlines analysts recommendations Lisk Machine Learning free daily email newsletter: Follow Recent Posts Rublix RBLX Achieves Market Cap 2.11 Million FOAM FOAM Price Up 28 This Week Rate3 Market Capitalization Tops 388,509.06 RTE Devery Price Reaches 0.0013 Exchanges EVE Polybius Trading 27.8 Higher This Week PLBT Helpico Trading Up 166.3 Over Last 7 Days HELP DigiByte Price Tops 0.0057 DGB sUSD Price Hits 1.00 SUSD Bitcoin Planet BTPL Price Tops 0.0001 Exchanges Lisk Machine Learning Trading Up 21.5 This Week LML iTicoin Trading Up 19.4 This Week ITI Komodo KMD Market Capitalization Achieves 50.53 Million Veritaseum Trading Down 0.9 This Week VERI Augur REP Achieves Market Capitalization 110.74 Million PYRO Network PYRO Price Tops 0.0000 Top Exchanges Electroneum Reaches Market Capitalization 22.11 Million ETN Critical Comparison: Livongo Health LVGO The Competition Reviewing Verra Mobility VRRM The Competition Crexendo CXDO vs. Its Peers Critical Survey HeadToHead Review: IPG Photonics NASDAQ:IPGP versus Nlight NASDAQ:LASR Lisk Machine Learning Trading Up 21.5 This Week LML Posted ABMN Staff Apr 6th, 2020 No Comments Lisk Machine Learning CURRENCY:LML traded 1.9 higher dollar 24 hour period ending 9:00 AM E.T. April 6th. Over week, Lisk Machine Learning traded 21.5 dollar. One Lisk Machine Learning token currently bought 0.0047 0.00000066 BTC exchanges including Cryptopia BitBay. Lisk Machine Learning total market capitalization 566,825.43 approximately 1,975.00 worth Lisk Machine Learning traded exchanges day. Heres related cryptocurrencies performed day: Get Lisk Machine Learning alerts: XRP XRP traded 5.1 higher dollar trades 0.19 0.00002642 BTC. Tether USDT traded 0.3 dollar trades 1.00 0.00014032 BTC. Bitcoin SV BSV traded 4.1 higher dollar trades 184.23 0.02573418 BTC. Binance Coin BNB traded 4.5 higher dollar trades 14.35 0.00200420 BTC. InnovativeBioresearchClassic INNBCL traded 23.4 lower dollar trades 0.0000 0.00000000 BTC. TAGZ5 TAGZ5 traded 11.3 dollar trades 3.54 0.00049452 BTC. Stellar XLM traded 16.2 higher dollar trades 0.0487 0.00000680 BTC. TRON TRX traded 8.4 dollar trades 0.0133 0.00000185 BTC. Chainlink LINK traded 5.5 higher dollar trades 2.42 0.00033734 BTC. COZ COZ traded 26.7 higher dollar trades 0.22 0.00004541 BTC. About Lisk Machine Learning Lisk Machine Learnings total supply 400,000,000 tokens circulating supply 120,000,000 tokens. Lisk Machine Learnings official Twitter account The official website Lisk Machine Learning Buying Selling Lisk Machine Learning Lisk Machine Learning traded cryptocurrency exchanges: Cryptopia BitBay. It usually possible purchase alternative cryptocurrencies Lisk Machine Learning directly US dollars. Investors seeking acquire Lisk Machine Learning purchase Ethereum Bitcoin exchange deals US dollars Changelly, Gemini Coinbase. Investors use newlyacquired Ethereum Bitcoin purchase Lisk Machine Learning aforementioned exchanges. Receive News Updates Lisk Machine Learning Daily Enter email address receive concise daily summary latest news updates Lisk Machine Learning related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSiTicoin Trading Up 19.4 This Week ITI NEXTBitcoin Planet BTPL Price Tops 0.0001 Exchanges Latest News FOAM Price Up 28 This Week Devery Price Reaches 0.0013 Exchanges Rate3 Market Capitalization Tops 388,509.06 Rublix Achieves Market Cap 2.11 Million DigiByte Price Tops 0.0057 Polybius Trading 27.8 Higher This Week Leave Reply Click cancel reply. Name Required Mail published Required Website Analyst Ratings Dividends Earnings Estimates Guidance Highs Lows IPOS Options SEC Filings 20062020 American Banking News | 2,020 | [
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https://www.prnewswire.com/ru/press-releases/huawei-announces-case-study-demonstrating-how-artificial-intelligence-saves-time-and-lives-806348038.html | 2020-12-09T00:00:00 | en | Huawei Announces Case Study Demonstrating How Artificial Intelligence Saves Time and Lives |
Huawei Announces Case Study Demonstrating How Artificial Intelligence Saves Time and Lives
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Huawei Announces Case Study Demonstrating How Artificial Intelligence Saves Time and Lives
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08 дек, 2020, 14:38 GMT
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SHANGHAI, Dec. 8, 2020 /PRNewswire/ -- Huawei Technologies, focused on the development of superb computing power and AI capacities, announced its case study of YITU Healthcare's use of the Huawei Atlas series to provide solutions for speedy and precise diagnoses.
Powered by the Ascend 310 processor, the Atlas 800 inference server (model: 3000) supports up to 8 Atlas 300I inference cards to provide powerful real-time inference. It is widely used for AI inference in data centers.
In response to the ongoing COVID-19 pandemic, YITU Healthcare, a leading firm in the imaging sector, is providing an Automatic Evaluation System for chest CT scans for the disease. Different from the traditional manual evaluation process that usually takes two to three hours, the automatic system can analyze and classify pneumonia severity within three seconds. It can automatically compare a patient's historical and current records and is highly consistent with doctors' diagnosis.
For lung cancer screening, YITU Healthcare offers the care.ai® Intelligent 4D Imaging System for Chest CT scans. It comes with authoritative evidence-based clinical guidelines, as a vast volume of RWE- based training data. It not only detects lesions but also further suggests its malignancy score and assesses its progression.
A similar system – one that supports multiple standards – is applied for evaluation of children's bone age, where a diagnosis can be made within seconds. It is now commonly used for children's bone age assessment within a condensed timeframe: less than five minutes for X-ray, evaluation and reporting.Huawei Atlas series represents a powerful AI computing platformAll these solutions require tremendous computing power to provide accurate and timely analysis. This is made possible by Huawei's Atlas series, which supports a wide range of medical scenarios that usually demand huge computing power for the best results. The Atlas series covers device, edge, to cloud computing settings. The core of the intelligent healthcare solution for YITU is the Atlas 300I AI inference card and Atlas 800 AI inference server. The solution provides the computing power for image and video analysis, shortening CT scan analysis to just two minutes, with an accuracy of over 98 percent. The Atlas 300I card boasts around 33 percent more computing power with double the number of full-HD video channels than some available products in the market.Meanwhile, the Atlas 800 server comes with two Kunpeng 920 processors, 32 DD4 DIMM slots supporting up to 2,933 MT/s plus as many as eight Atlas 300I cards leading to a maximum of 640 channels for intelligent video analytics. It is a powerful server setting that works best for real-time inference that demands high efficiency with low power consumption. Pairing up with the digital vision pre-processing (DVPP) engine of Atlas 300I, the Atlas 800 server performs remarkably for real-time encoding/decoding and inference of up to 512 video streams.The innovative use of resources – computing power up to 512 TOPS at INT8 – allows not just much faster diagnosis but also a vast boost in accuracy thanks to the improved recognition precision. It is highly flexible, and performs perfectly well with FlexIO cards and standard iNICs with storage of enormous capacity, which makes the system reliable and secure."Healthcare is once again under the spotlight, given the current global situation. Medical science has undoubtedly improved rapidly, extending life expectancy across the globe. Automation is among the most crucial tech breakthroughs in the sector, with Artificial Intelligence (AI) emerging as a powerful tool for medical success," said Tony Xu, President of Huawei Ascend Computing Business.AI drives growth in medical imagingThere is a common myth in healthcare that many people expect robots to take over from doctors and nurses, rendering people obsolete. Patients might place trust in machines – rather than doctors – to make difficult decisions. However, AI is not replacing doctors. It is instead helping them improve diagnostic accuracy and efficiency. AI does its work by accessing substantial datasets of potentially life-saving information, such as treatment methods and their outcomes, and other data like survival rates, etc.Therefore, incorporating AI into clinical workflows helps streamline medical procedures for doctors. Medical imaging analysis is one key area that requires an upgrade with the support of AI. Primary medical imaging represents tremendous potential for growth due to its increasing demand. With the help of AI, imaging services get a significant boost in resolving supply and demand discrepancies among current medical services.In some countries, as many as two-thirds of primary hospitals serve as few as twenty percent of patients requiring diagnosis and treatment, while a small percentage of lower-tier medical institutions is where more than one-third of patients seek medical services. This resource mismatch represents another trend – AI empowers primary medical care, which further alleviates the imbalance between supply and demand of existing medical services. With the increasingly alarming shortage of radiologists in primary medical institutions, this development couldn't have come sooner.A further observation in medical imaging is the marriage between hardware and software. Simply put, an AI algorithm works with hardware to boost intelligence density and lower the cost of building up the system. The demand for computing, meanwhile, will keep going up to meet the AI requirements for various scenarios in the new digital era. For AI to work effectively, it takes both software and hardware to work together - they go hand in glove.And so with the power of AI, the application of imaging is brought to another level, where radiologists play more significant roles in the clinical decision-making process. Intelligent diagnosis systems are now used in chest examinations, mammography's, and for pediatric growth and development, allowing radiologists to participate more in giving advice upon receipt of results.For more information, please visit here. Email: [email protected] Photo - https://mma.prnewswire.com/media/1360897/Huawei.jpg SOURCE Huawei
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| Huawei Announces Case Study Demonstrating How Artificial Intelligence Saves Time and Lives | Huawei Announces Case Study Demonstrating How Artificial Intelligence Saves Time Lives 44 020 7454 5110 GDPR 44 020 7454 5110 8 AM 5 PM GMT 44 020 7454 5110 8 AM 5 PM GMT GDPR GDPR GDPR GDPR Huawei Announces Case Study Demonstrating How Artificial Intelligence Saves Time Lives Russia English English Huawei 08 , 2020, 14:38 GMT SHANGHAI, Dec. 8, 2020 PRNewswire Huawei Technologies, focused development superb computing power AI capacities, announced case study YITU Healthcares use Huawei Atlas series provide solutions speedy precise diagnoses. Powered Ascend 310 processor, Atlas 800 inference server model: 3000 supports 8 Atlas 300I inference cards provide powerful realtime inference. It widely AI inference data centers. In response ongoing COVID19 pandemic, YITU Healthcare, leading firm imaging sector, providing Automatic Evaluation System chest CT scans disease. Different traditional manual evaluation process usually takes hours, automatic analyze classify pneumonia severity seconds. It automatically compare patients historical current records highly consistent doctors diagnosis. For lung cancer screening, YITU Healthcare offers care.ai Intelligent 4D Imaging System Chest CT scans. It comes authoritative evidencebased clinical guidelines, vast volume RWE based training data. It detects lesions suggests malignancy score assesses progression. A similar supports multiple standards applied evaluation childrens bone age, diagnosis seconds. It commonly childrens bone age assessment condensed timeframe: minutes Xray, evaluation reporting.Huawei Atlas series represents powerful AI computing platformAll solutions require tremendous computing power provide accurate timely analysis. This possible Huaweis Atlas series, supports wide range medical scenarios usually demand huge computing power best results.The Atlas series covers device, edge, cloud computing settings. The core intelligent healthcare solution YITU Atlas 300I AI inference card Atlas 800 AI inference server. The solution provides computing power image video analysis, shortening CT scan analysis minutes, accuracy 98 percent. The Atlas 300I card boasts 33 percent computing power double number fullHD video channels available products market.Meanwhile, Atlas 800 server comes Kunpeng 920 processors, 32 DD4 DIMM slots supporting 2,933 MTs plus Atlas 300I cards leading maximum 640 channels intelligent video analytics. It powerful server setting works best realtime inference demands high efficiency low power consumption. Pairing digital vision preprocessing DVPP engine Atlas 300I, Atlas 800 server performs remarkably realtime encodingdecoding inference 512 video streams.The innovative use resources computing power 512 TOPS INT8 allows faster diagnosis vast boost accuracy thanks improved recognition precision. It highly flexible, performs perfectly FlexIO cards standard iNICs storage enormous capacity, makes reliable secure.Healthcare spotlight, given current global situation. Medical science undoubtedly improved rapidly, extending life expectancy globe. Automation crucial tech breakthroughs sector, Artificial Intelligence AI emerging powerful tool medical success, said Tony Xu, President Huawei Ascend Computing Business.AI drives growth medical imagingThere common myth healthcare people expect robots doctors nurses, rendering people obsolete. Patients place trust machines doctors difficult decisions. However, AI replacing doctors. It instead helping improve diagnostic accuracy efficiency.AI work accessing substantial datasets potentially lifesaving information, treatment methods outcomes, data like survival rates, etc.Therefore, incorporating AI clinical workflows helps streamline medical procedures doctors. Medical imaging analysis key area requires upgrade support AI. Primary medical imaging represents tremendous potential growth increasing demand. With help AI, imaging services significant boost resolving supply demand discrepancies current medical services.In countries, twothirds primary hospitals serve percent patients requiring diagnosis treatment, small percentage lowertier medical institutions onethird patients seek medical services. This resource mismatch represents trend AI empowers primary medical care, alleviates imbalance supply demand existing medical services. With increasingly alarming shortage radiologists primary medical institutions, development come sooner.A observation medical imaging marriage hardware software. Simply put, AI algorithm works hardware boost intelligence density lower cost building system. The demand computing, meanwhile, going meet AI requirements scenarios new digital era. For AI work effectively, takes software hardware work hand glove.And power AI, application imaging brought level, radiologists play significant roles clinical decisionmaking process. Intelligent diagnosis systems chest examinations, mammographys, pediatric growth development, allowing radiologists participate giving advice receipt results.For information, pleasevisit here.Email:[emailprotected] Photo SOURCE Huawei Modal title Huawei ... Huaweis Four Open Source Basic Software Projects Infuse... Artificial Intelligence Health Care Hospitals Cloud ComputingInternet Things Computer Electronics Computer Hardware PR Newswire 44 020 7454 5110 8 AM 5 PM GMT Middle East Middle East 44 020 7454 5110 8 AM 5 PM GMT Terms Use Information Security Policy Site Map Settings 2020 PR Newswire Association LLC. . A Cision company. | 2,020 | [
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https://eurowire.co/coronavirus/595609/global-artificial-intelligence-in-transportation-market-by-top-key-vendors-with-sales-volume-cagr-price-usd-unit-revenue-million-usd-outlook-2027/ | 2020-10-30T00:00:00 | en | Global Artificial Intelligence in Transportation Market By Top Key Vendors, With Sales Volume, CAGR, Price (USD/Unit), Revenue (Million USD) Outlook 2027 – Eurowire |
Global Artificial Intelligence in Transportation Market By Top Key Vendors, With Sales Volume, CAGR, Price (USD/Unit), Revenue (Million USD) Outlook 2027 – Eurowire
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Global Artificial Intelligence in Transportation Market By Top Key Vendors, With Sales Volume, CAGR, Price (USD/Unit), Revenue (Million USD) Outlook 2027
Posted On: October 30, 2020
Posted By: alex
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Reportspedia presents most recent industry chain structure and complete analysis of Artificial Intelligence in Transportation Market. The forecast Artificial Intelligence in Transportation industry analysis is covered in this report. This research study offers critical information on Artificial Intelligence in Transportation which will assist the industry players in making informed business move. The Artificial Intelligence in Transportation Report is segmented by Application/ End User, Product Type and Geologies.
The market size of Global Artificial Intelligence in Transportation Market, development rate and past industry information is provided in this study. The company profiles of top Artificial Intelligence in Transportation manufacturers/ players, complete product portfolio is presented in this report. The cost structures, growth rate, and gross margin analysis is covered in this report. Global, regional and country level data is presented in this study. The import-export scenario, production rate, consumption and gross margin analysis from 2015-2019 is covered in this report. Market share by Artificial Intelligence in Transportation region in 2020 for top players is analysed in this report.
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Artificial Intelligence in Transportation Market analysis and forecast by type, applications and region is analysed in this report. The forecast period is 2020-2027 where market value, volume, consumption forecast is presented. Further, feasibility study, industry barriers, latest plans and policies are explained in this study. The production process analysis, manufacturing cost, Artificial Intelligence in Transportation labor cost, marketing channels and manufacturing base is elaborated in this report.
Major players covered in this report:
Valeo
Scania
Paccar
Bosch
Microsoft
Daimler
Nvidia
ZF
Alphabet
Continental
Volvo
Intel
Magna
Global Artificial Intelligence in Transportation Market Segmentation:
By Type:
Hardware
Software
By Application:
Semi & Full-Autonomous
HMI
Platooning
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The below list highlights the important points considered in Artificial Intelligence in Transportation report:
Market Trends: Consumer analysis, supply chain analysis, import-export scenario, consumption and production is explained in this report.
Business Expansion: An in-depth Artificial Intelligence in Transportation Industry information presents global study, latest developments and investments
Complete Evaluation: Comprehensive examination of Artificial Intelligence in Transportation plans and policies, latest development patterns, and cost structures.
Business Diffusion: All top Artificial Intelligence in Transportation players, their product portfolio, market share and other details are presented.
Latest developments and plans: A complete information on new product launch events, investment feasibility, growth opportunities, Artificial Intelligence in Transportation development factors is provided.
Expected Artificial Intelligence in Transportation Industry Growth: Vital details on emerging Artificial Intelligence in Transportation industry segments, new players, expected growth during forecast period is covered in this report.
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Why To Select This Report:
Complete analysis on market dynamics, market status and competitive Artificial Intelligence in Transportation view is offered.
Forecast Artificial Intelligence in Transportation Industry trends will present the market drivers, constraints and growth opportunities.
The five-year forecast view shows how the market is expected to grow in coming years.
All vital Artificial Intelligence in Transportation Industry verticals are presented in this study like Product Type, Applications and Geographical Regions.
Complete market dynamics will facilitate key insights for informed decision making.
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Global Artificial Intelligence in TransportationGlobal Artificial Intelligence in Transportation IndustryGlobal Artificial Intelligence in Transportation MarketGlobal Artificial Intelligence in Transportation Market DemandGlobal Artificial Intelligence in Transportation Market ForecastGlobal Artificial Intelligence in Transportation Market GrowthGlobal Artificial Intelligence in Transportation Market OverviewGlobal Artificial Intelligence in Transportation Market RegionsGlobal Artificial Intelligence in Transportation Market ResearchGlobal Artificial Intelligence in Transportation Market RevenueGlobal Artificial Intelligence in Transportation Market ShareGlobal Artificial Intelligence in Transportation Market SizeGlobal Artificial Intelligence in Transportation Market TrendGlobal Artificial Intelligence in Transportation Market View
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| Global Artificial Intelligence in Transportation Market By Top Key Vendors, With Sales Volume, CAGR, Price (USD/Unit), Revenue (Million USD) Outlook 2027 | Global Artificial Intelligence Transportation Market By Top Key Vendors, With Sales Volume, CAGR, Price USDUnit, Revenue Million USD Outlook 2027 Eurowire Eurowire Coronavirus Economy Energy Politics Space HomeCoronavirusGlobal Artificial Intelligence Transportation Market By Top Key Vendors, With Sales Volume, CAGR, Price USDUnit, Revenue Million USD Outlook 2027 Global Artificial Intelligence Transportation Market By Top Key Vendors, With Sales Volume, CAGR, Price USDUnit, Revenue Million USD Outlook 2027 Posted On: October 30, 2020 Posted By: alex Comments: 0 Reportspedia presents recent industry chain structure complete analysis Artificial Intelligence Transportation Market. The forecast Artificial Intelligence Transportation industry analysis covered report. This research study offers critical information Artificial Intelligence Transportation assist industry players making informed business move. The Artificial Intelligence Transportation Report segmented Application End User, Product Type Geologies. The market size Global Artificial Intelligence Transportation Market, development rate past industry information provided study. The company profiles Artificial Intelligence Transportation manufacturers players, complete product portfolio presented report. The cost structures, growth rate, gross margin analysis covered report. Global, regional country level data presented study. The importexport scenario, production rate, consumption gross margin analysis 20152019 covered report. Market share Artificial Intelligence Transportation region 2020 players analysed report. To Understand How Covid19 Impact industry. Get Free Sample Report: Artificial Intelligence Transportation Market analysis forecast type, applications region analysed report. The forecast period 20202027 market value, volume, consumption forecast presented. Further, feasibility study, industry barriers, latest plans policies explained study. The production process analysis, manufacturing cost, Artificial Intelligence Transportation labor cost, marketing channels manufacturing base elaborated report. Major players covered report: Valeo Scania Paccar Bosch Microsoft Daimler Nvidia ZF Alphabet Continental Volvo Intel Magna Global Artificial Intelligence Transportation Market Segmentation: By Type: Hardware Software By Application: Semi FullAutonomous HMI Platooning Get Up 40 Off purchasing report, Ask Here Discount The list highlights important points considered Artificial Intelligence Transportation report: Market Trends: Consumer analysis, supply chain analysis, importexport scenario, consumption production explained report. Business Expansion: An indepth Artificial Intelligence Transportation Industry information presents global study, latest developments investments Complete Evaluation: Comprehensive examination Artificial Intelligence Transportation plans policies, latest development patterns, cost structures. Business Diffusion: All Artificial Intelligence Transportation players, product portfolio, market share details presented. Latest developments plans: A complete information new product launch events, investment feasibility, growth opportunities, Artificial Intelligence Transportation development factors provided. Expected Artificial Intelligence Transportation Industry Growth: Vital details emerging Artificial Intelligence Transportation industry segments, new players, expected growth forecast period covered report. Inquire Before Buying Or Ask For More Details: Why To Select This Report: Complete analysis market dynamics, market status competitive Artificial Intelligence Transportation view offered. Forecast Artificial Intelligence Transportation Industry trends present market drivers, constraints growth opportunities. The fiveyear forecast view shows market expected grow coming years. All vital Artificial Intelligence Transportation Industry verticals presented study like Product Type, Applications Geographical Regions. Complete market dynamics facilitate key insights informed decision making. View Full Table Of Content: @ Us: Name: Alex White Phone: US: 18064400782 UK: 44 33 3303 4979 Email: [emailprotected] Global Artificial Intelligence TransportationGlobal Artificial Intelligence Transportation IndustryGlobal Artificial Intelligence Transportation MarketGlobal Artificial Intelligence Transportation Market DemandGlobal Artificial Intelligence Transportation Market ForecastGlobal Artificial Intelligence Transportation Market GrowthGlobal Artificial Intelligence Transportation Market OverviewGlobal Artificial Intelligence Transportation Market RegionsGlobal Artificial Intelligence Transportation Market ResearchGlobal Artificial Intelligence Transportation Market RevenueGlobal Artificial Intelligence Transportation Market ShareGlobal Artificial Intelligence Transportation Market SizeGlobal Artificial Intelligence Transportation Market TrendGlobal Artificial Intelligence Transportation Market View Post navigation Prev PostNext Post Recent Posts Global Personal Identity Management Market Report By Types, Applications, Players And Regions, Gross, Market Share, CAGR, Outlook 2027 Global Artificial Intelligence Transportation Market By Top Key Vendors, With Sales Volume, CAGR, Price USDUnit, Revenue Million USD Outlook 2027 Car Subwoofers Speakers Market, Share, Application Analysis, Regional Outlook, Competitive Strategies Forecast 2025 Global Wound Care Management Products Market Research 2020 Report Growth Forecast 2025 Aircraft Landing Gear Systems COVID19 Version Market Research, China Market Entry Growth Opportunity 20202025 United Technologies Corporation, HerouxDevtek, Safran, Liebherr Archives October 2020 September 2020 August 2020 July 2020 June 2020 Categories Coronavirus Economy Energy News Politics Space Sports Uncategorized Meta Log Entries feed Comments feed Eurowire Everestthemes | 2,020 | [
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] | 1 | POSITIVE | 216 |
https://3wnews.org/growth-prospects/1932636/machine-learning-in-finance-market-checkout-the-unexpected-future-2020-2026ignite-yodlee-trill-a-i-mindtitan/ | 2020-07-03T00:00:00 | en | Machine Learning in Finance Market Checkout The Unexpected Future 2020-2026|Ignite, Yodlee, Trill A.I., MindTitan – 3w Market News Reports |
Machine Learning in Finance Market Checkout The Unexpected Future 2020-2026|Ignite, Yodlee, Trill A.I., MindTitan – 3w Market News Reports
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Machine Learning in Finance Market Checkout The Unexpected Future 2020-2026|Ignite, Yodlee, Trill A.I., MindTitan
Post author
By craig
Post date
July 3, 2020
Machine Learning in Finance Market
HTF Market Intelligence added research publication document on Covid-19 Impact on Global Machine Learning in Finance Market breaking major business segments and highlighting wider level geographies to get deep dive analysis on market data. The study is a perfect balance bridging both qualitative and quantitative information of Covid-19 Impact on Machine Learning in Finance market. The study provides valuable market size data for historical (Volume** & Value) from 2014 to 2018 which is estimated and forecasted till 2026*. Some are the key & emerging players that are part of coverage and have being profiled are Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, ZestFinance.
Click to get Covid-19 Impact on Global Machine Learning in Finance Market Research Sample PDF Copy Now
1. Growth & Margins
Players that are having stellar growth track record is a must see view in the study that Analyst have covered. From 2014 to 2019, some of the company have shown enormous sales figures, with net income going doubled in that period with operating as well as gross margins constantly expanding. The rise of gross margins over past few years directs strong pricing power of the competitive companies in the industry for its products or offering, over and above the increase in the cost of goods sold.
2. Industry growth prospects and market share
According to HTF MI, major business segments sales figure will cross the $$ mark in 2020. Unlike classified segments popular in the industry i.e. by Type (, Supervised Learning, Unsupervised Learning, Semi Supervised Learning & Reinforced Leaning), by End-Users/Application (Banks, Securities Company & Others), the latest 2020 version is further broken down / narrowed to highlight new emerging twist of the industry. Covid-19 Impact on Global Machine Learning in Finance market will grow from $XX million in 2018 to reach $YY million by 2026, with a compound annual growth rate (CAGR) of xx%. The strongest growth is expected in some Asian countries opening new doors of opportunities, where CAGR is expected to be in double digits ##% from 2019 to 2026. This forecast of industry players hints good potential that will continue growth along with the industry’s projected growth.
Check for more detail, Enquire about Latest Edition with COVID Impact Analysis @ https://www.htfmarketreport.com/enquiry-before-buy/2690019-covid-19-impact-on-global-machine-learning-in-finance-market
3. Ambitious growth plans & rising competition?
Industry players are planning to introduce new products launch into various markets around the globe considering applications / end use such as Banks, Securities Company & Others. Examining some latest innovative products that are vital and may be introduced in EMEA markets in last quarter 2019 and 2020. Considering all round development activities of Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, ZestFinance, some players profiles are worth attention seeking.
4. Where the Covid-19 Impact on Machine Learning in Finance Industry is today
Though latest year might not be that encouraging as market segments especially , Supervised Learning, Unsupervised Learning, Semi Supervised Learning & Reinforced Leaning have shown modest gains, growth scenario could have been changed if Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, ZestFinance would have plan ambitious move earlier. Unlike past, but decent valuation and emerging investment cycle to progress in the North America, Europe, Asia-Pacific etc., many growth opportunities ahead for the companies in 2020, it looks descent today but stronger returns would be expected beyond.
Buy full version of this research study @ https://www.htfmarketreport.com/buy-now?format=1&report=2690019
Insights that Study is offering :
• Market Revenue splits by most promising business segments. [By Type (, Supervised Learning, Unsupervised Learning, Semi Supervised Learning & Reinforced Leaning), By Application (Banks, Securities Company & Others) and any other business Segment if applicable within scope of report]
• Market Share & Sales Revenue by Key Players & Local Emerging Regional Players. [Some of the players covered in the study are Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, ZestFinance]
• A separate section on Entropy to gain useful insights on leaders aggressiveness towards market [Merger & Acquisition / Recent Investment and Key Development Activity Including seed funding]
• Competitive Analysis: Company profile of listed players with separate SWOT Analysis, Overview, Product/Services Specification, Headquarter, Downstream Buyers and Upstream Suppliers.
• Gap Analysis by Region. Country break-up will help you dig out Trends and opportunity lying in specific territory of your business interest.
Read Detailed Index of full Research Study at @ https://www.htfmarketreport.com/reports/2690019-covid-19-impact-on-global-machine-learning-in-finance-market
Thanks for showing your interest; you can also get individual chapter wise section or region wise report version like ASEAN, GCC, LATAM, Western / Eastern Europe or Southeast Asia.
About Author:
HTF Market Report is a wholly owned brand of HTF market Intelligence Consulting Private Limited. HTF Market Report global research and market intelligence consulting organization is uniquely positioned to not only identify growth opportunities but to also empower and inspire you to create visionary growth strategies for futures, enabled by our extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist you for making goals into a reality. Our understanding of the interplay between industry convergence, Mega Trends, technologies and market trends provides our clients with new business models and expansion opportunities. We are focused on identifying the “Accurate Forecast” in every industry we cover so our clients can reap the benefits of being early market entrants and can accomplish their “Goals & Objectives”.
Contact US :
Craig Francis (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Unit No. 429, Parsonage Road Edison, NJ
New Jersey USA – 08837
Phone: +1 (206) 317 1218
[email protected]
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| Machine Learning in Finance Market Checkout The Unexpected Future 2020-2026 | Machine Learning Finance Market Checkout The Unexpected Future 20202026Ignite, Yodlee, Trill A.I., MindTitan 3w Market News Reports Skip content 3w Market News Reports3rd Market Reports Analytics Menu Us for: Close search Close Menu Us Categories Growth Prospects Machine Learning Finance Market Checkout The Unexpected Future 20202026Ignite, Yodlee, Trill A.I., MindTitan Post author By craig Post date July 3, 2020 Machine Learning Finance Market HTF Market Intelligence added research publication document Covid19 Impact Global Machine Learning Finance Market breaking major business segments highlighting wider level geographies deep dive analysis market data. The study perfect balance bridging bothqualitative quantitative information Covid19 Impact Machine Learning Finance market. The study provides valuable market size data historical Volume Value 2014 2018 estimated forecasted till 2026. Some key emerging players coverage profiled Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, ZestFinance. Click Covid19 Impact Global Machine Learning Finance Market Research Sample PDF Copy Now 1. Growth Margins Players stellar growth track record view study Analyst covered. From 2014 2019, company shown enormous sales figures, net income going doubled period operating gross margins constantly expanding. The rise gross margins past years directs strong pricing power competitive companies industry products offering, increase cost goods sold. 2. Industry growth prospects market share According HTF MI, major business segments sales figure cross mark 2020. Unlike classified segments popular industry i.e. Type , Supervised Learning, Unsupervised Learning, Semi Supervised Learning Reinforced Leaning, EndUsersApplication Banks, Securities Company Others, latest 2020 version broken narrowed highlight new emerging twist industry. Covid19 Impact Global Machine Learning Finance market grow XX million 2018 reach YY million 2026, compound annual growth rate CAGR xx. The strongest growth expected Asian countries opening new doors opportunities, CAGR expected double digits 2019 2026. This forecast industry players hints good potential continue growth industrys projected growth. Check detail, Enquire Latest Edition COVID Impact Analysis @ 3. Ambitious growth plans rising competition? Industry players planning introduce new products launch markets globe considering applications end use Banks, Securities Company Others. Examining latest innovative products vital introduced EMEA markets quarter 2019 2020. Considering round development activities Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, ZestFinance, players profiles worth attention seeking. 4. Where Covid19 Impact Machine Learning Finance Industry today Though latest year encouraging market segments especially , Supervised Learning, Unsupervised Learning, Semi Supervised Learning Reinforced Leaning shown modest gains, growth scenario changed Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, ZestFinance plan ambitious earlier. Unlike past, decent valuation emerging investment cycle progress North America, Europe, AsiaPacific etc., growth opportunities ahead companies 2020, looks descent today stronger returns expected beyond. Buy version research study @ Insights Study offering : Market Revenue splits promising business segments. [By Type , Supervised Learning, Unsupervised Learning, Semi Supervised Learning Reinforced Leaning, By Application Banks, Securities Company Others business Segment applicable scope report] Market Share Sales Revenue Key Players Local Emerging Regional Players. [Some players covered study Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, ZestFinance] A separate section Entropy gain useful insights leaders aggressiveness market [Merger Acquisition Recent Investment Key Development Activity luding seed funding] Competitive Analysis: Company profile listed players separate SWOT Analysis, Overview, ProductServices Specification, Headquarter, Downstream Buyers Upstream Suppliers. Gap Analysis Region. Country breakup help dig Trends opportunity lying specific territory business interest. Read Detailed Index Research Study @ Thanks showing interest; individual chapter wise section region wise report version like ASEAN, GCC, LATAM, Western Eastern Europe Southeast Asia. About Author: HTF Market Report wholly owned brand HTF market Intelligence Consulting Private Limited. HTF Market Report global research market intelligence consulting organization uniquely positioned identify growth opportunities empower inspire create visionary growth strategies futures, enabled extraordinary depth breadth thought leadership, research, tools, events experience assist making goals reality. Our understanding interplay industry convergence, Mega Trends, technologies market trends provides clients new business models expansion opportunities. We focused identifying Accurate Forecast industry cover clients reap benefits early market entrants accomplish Goals Objectives. US : Craig Francis PR Marketing Manager HTF Market Intelligence Consulting Private Limited Unit No. 429, Parsonage Road Edison, NJ New Jersey USA 08837 Phone: 1 206 317 1218 [emailprotected] Connect atLinkedInFacebookTwitter Tags Machine learning Finance Market Analysis, Machine Learning Finance Market Future, Machine Learning Finance Market growth, Machine Learning Finance Market share, Machine Learning Finance Market size, Machine Learning In Finance Market Trends Electric Griddle Market COVID19 Impact Analysis: Qualitative Study Leading Players, Dynamics, Emerging Trends Global 20202026 Research Global BlepharitisPipeline Market Poised To Achieve Continuing Growth During Forecast Period 20202027 for: Recent Posts Video Wall Market COVID19 Impact Analysis: Qualitative Study Leading Players, Dynamics, Emerging Trends Global 20202026 Research Global Pur HotMelt Adhesives Market Poised To Achieve Continuing Growth During Forecast Period 20202027 System Chip Market IN COVID19: IMPLICATIONS AND BUSINESS OPPORTUNITIES FOR GROWTH GLOBALLY Video Wall Display Market COVID19 Impact Analysis, Recent Developments, Industry Share, Dynamics, Key Manufacturers 2026 Future Insights GLOBAL GARDEN SHED MARKET TRENDS, FORECAST, COMPETITIVE ANALYSIS, AND GROWTH OPPORTUNITY BY 20202026 Menu Us 2020 3w Market News Reports Powered WordPress To Up | 2,020 | [
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https://www.lmtonline.com/news/article/MIT-professor-wins-top-AI-award-for-cancer-drug-15590649.php | 2020-09-23T00:00:00 | en | MIT professor wins top AI award for cancer, drug research - Laredo Morning Times |
MIT professor wins top AI award for cancer, drug research - Laredo Morning Times
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https://www.lmtonline.com/news/article/MIT-professor-wins-top-AI-award-for-cancer-drug-15590649.php
MIT professor wins top AI award for cancer, drug research
Updated
10:22 am CDT, Wednesday, September 23, 2020
In this April 5, 2017, photo, Regina Barzilay, a professor in the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory, poses at MIT in Cambridge, Mass. The world's biggest AI society awarded Barzilay its top prize on Wednesday, Sept. 23, 2020. MIT said Barzilay is a breast cancer survivor whose 2014 diagnosis led her to shift her machine-learning work to creating systems for drug development and early cancer diagnosis. (Jonathan Wiggs/The Boston Globe via AP) less
In this April 5, 2017, photo, Regina Barzilay, a professor in the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory, poses at MIT in Cambridge, Mass. The world's ... more
Photo: Jonathan Wiggs/, AP
Photo: Jonathan Wiggs/, AP
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In this April 5, 2017, photo, Regina Barzilay, a professor in the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory, poses at MIT in Cambridge, Mass. The world's biggest AI society awarded Barzilay its top prize on Wednesday, Sept. 23, 2020. MIT said Barzilay is a breast cancer survivor whose 2014 diagnosis led her to shift her machine-learning work to creating systems for drug development and early cancer diagnosis. (Jonathan Wiggs/The Boston Globe via AP) less
In this April 5, 2017, photo, Regina Barzilay, a professor in the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory, poses at MIT in Cambridge, Mass. The world's ... more
Photo: Jonathan Wiggs/, AP
MIT professor wins top AI award for cancer, drug research
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CAMBRIDGE, Mass. (AP) — A Massachusetts Institute of Technology professor using computer science to detect cancer and discover new drugs has won a new $1 million award for artificial intelligence.
The world's biggest AI society awarded its top prize Wednesday to Regina Barzilay, a professor at MIT's Computer Science and Artificial Intelligence Laboratory.
MIT says Barzilay is a breast cancer survivor whose 2014 diagnosis led her to shift her AI work to creating systems for drug development and early cancer diagnosis.
Her early diagnosis tool has been tested in multiple hospitals, including Boston's Massachusetts General Hospital and others in Taiwan and Sweden.
She's the inaugural winner of the new annual award given by the Association for the Advancement of Artificial Intelligence and funded by Chinese online education company Squirrel AI.
It's meant to elevate AI advancements to the level of a Nobel Prize or computer science's Turing Award, while also highlighting AI research that benefits society.
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| MIT professor wins top AI award for cancer, drug research | MIT professor wins AI award cancer, drug research Laredo Morning Times Home Legal Ads Daily Deals Todays Ads 2019 Outlook Archives 2019 Ask Us r Services The Zapata Times Preferred Business Privacy Notice Terms Use This venue Fredericksburg hosting Octoberfest, Bratwurst Memes mock Texans rout, shocking Cowboys win Memes celebrate Cowboys seasonopening loss Front Americans awoke day 911 News Crime Politics U.S. World Business Entertainment Laredo City Council narrowly approves tax rate tense Authorities immigrants locked travel trailer CBP officers arrest suspected sexual offenders LPD: Man threatens exspouse Texas Border Mexico Obituaries Sports High School Local Professional NFL NBA MLB College College Local Colleges National Colleges Golf Soccer UISD releases updated 2020 football schedules Local girls basketball athletes shine showcase Volleyball teams return court Blackout aims title Photo Galleries Travel This venue Fredericksburg hosting Octoberfest, Bratwurst Memes mock Texans rout, shocking Cowboys win Memes celebrate Cowboys seasonopening loss Front Americans awoke day 911 Real Estate Qu Pasa? LMTenEspaol Classifieds Mercadito Dvino Living Kids Jobs EEdition MenuSections MIT professor wins AI award cancer, drug research Updated 10:22am CDT, Wednesday, September 23, 2020 In April 5, 2017, photo, Regina Barzilay, professor Massachusetts Institute Technologys Computer Science Artificial Intelligence Laboratory, poses MIT Cambridge, Mass. The worlds biggest AI society awarded Barzilay prize Wednesday, Sept. 23, 2020. MIT said Barzilay breast cancer survivor 2014 diagnosis led shift machinelearning work creating systems drug development early cancer diagnosis. Jonathan WiggsThe Boston Globe AP In April 5, 2017, photo, Regina Barzilay, professor Massachusetts Institute Technologys Computer Science Artificial Intelligence Laboratory, poses MIT Cambridge, Mass. The worlds ... Photo: Jonathan Wiggs, AP Photo: Jonathan Wiggs, AP Image 1 3 Caption Close Image 1 3 In April 5, 2017, photo, Regina Barzilay, professor Massachusetts Institute Technologys Computer Science Artificial Intelligence Laboratory, poses MIT Cambridge, Mass. The worlds biggest AI society awarded Barzilay prize Wednesday, Sept. 23, 2020. MIT said Barzilay breast cancer survivor 2014 diagnosis led shift machinelearning work creating systems drug development early cancer diagnosis. Jonathan WiggsThe Boston Globe AP In April 5, 2017, photo, Regina Barzilay, professor Massachusetts Institute Technologys Computer Science Artificial Intelligence Laboratory, poses MIT Cambridge, Mass. The worlds ... Photo: Jonathan Wiggs, AP MIT professor wins AI award cancer, drug research 1 3 Back Gallery CAMBRIDGE, Mass. AP A Massachusetts Institute Technology professor science detect cancer discover new drugs new 1 million award artificial intelligence. The worlds biggest AI society awarded prize Wednesday Regina Barzilay, professor MITs Computer Science Artificial Intelligence Laboratory. MIT says Barzilay breast cancer survivor 2014 diagnosis led shift AI work creating systems drug development early cancer diagnosis. Her early diagnosis tool tested multiple hospitals, including Bostons Massachusetts General Hospital Taiwan Sweden. Shes inaugural winner new annual award given Association Advancement Artificial Intelligence funded Chinese online education company Squirrel AI. Its meant elevate AI advancements level Nobel Prize sciences Turing Award, highlighting AI research benefits society. Most Popular 1 A huge teen party delayed Massachusetts schools reopening. Two parents charged. 2 3rd S.A. teen arrested 3yearold smokes pot video 3 Teen testifies Tuesday assault, abuse 4 Grunt Style founder says ousted 5 Four deaths, 168 COVID19 cases confirmed Laredo officials 6 Laredo new health director, communication administrator 7 Bear cub killed Big Bend National Park 8 Man allegedly breaks exgirlfriend home, causes damages 9 Laredo City Council submit voluntary drug testing 10 More students report Laredo schools View Comments 2020 Hearst Communications, . Logo Return Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Our Company Careers Advertising Us r Todays eEdition Become A r Manage Account: r Services Connect Facebook Twitter Hearst Newspapers Hearst Newspapers, LLC | 2,020 | [
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https://techcrunch.com/2020/08/03/announcing-sight-tech-global-an-event-on-the-future-of-ai-and-accessibility-for-people-who-are-blind-or-visually-impaired/ | 2020-08-03T00:00:00 | en | Announcing Sight Tech Global, an event on the future of AI and accessibility for people who are blind or visually impaired – TechCrunch |
Announcing Sight Tech Global, an event on the future of AI and accessibility for people who are blind or visually impaired – TechCrunch
Announcing Sight Tech Global, an event on the future of AI and accessibility for people who are blind or visually impaired
Ned Desmond
10 hours
Few challenges have excited technologists more than building tools to help people who are blind or visually impaired. It was Silicon Valley legend Ray Kurzweil, for example, who in 1976 launched the first commercially available text-to-speech reading device. He unveiled the $50,000 Kurzweil Reading Machine, a boxy device that covered a tabletop, at a press conference hosted by the National Federation of the Blind.
The early work of Kurzweil and many others has rippled across the commerce and technology world in stunning ways. Today’s equivalent of Kurzweil’s machine is Microsoft’s Seeing AI app, which uses AI-based image recognition to “see” and “read” in ways that Kurzweil could only have dreamed of. And it’s free to anyone with a mobile phone.
Remarkable leaps forward like that are the foundation for Sight Tech Global, a new, virtual event slated for Dec 2-3, that will bring together many of the world’s top technology and accessibility experts to discuss how rapid advances in AI and related technologies will shape assistive technology and accessibility in the years ahead.
The technologies behind Microsoft’s Seeing AI are on the same evolutionary tree as the ones that enable cars to be autonomous and robots to interact safely with humans. Much of our most advanced technology today stems from that early, challenging mission that top Silicon Valley engineers embraced to teach machines to “see” on behalf of humans.
From the standpoint of people who suffer vision loss, the technology available today is astonishing, far beyond what anyone anticipated even ten years ago. Purpose-built products like Seeing AI and computer screen readers like JAWS are remarkable tools. At the same time, consumer products including mobile phones, mapping apps, and smart voice assistants are game changers for everyone, those with sight loss not the least. And yet, that tech bonanza has not come close to breaking down the barriers in the lives of people who still mostly navigate with canes or dogs or sighted assistance, depend on haphazard compliance with accessibility standards to use websites, and can feel as isolated as ever in a room full of people.
A computer can drive a car at 70 MPH without human assistance but there is not yet any comparable device to help a blind person walk down a sidewalk at 3 MPH.
In other words, we live in a world where a computer can drive a car at 70 MPH without human assistance but there is not yet any comparable device to help a blind person walk down a sidewalk at 3 MPH. A social media site can identify billions of people in an instant but a blind person can’t readily identify the person standing in front of them. Today’s powerful technologies, many of them grounded in AI, have yet to be milled into next-generation tools that are truly useful, happily embraced and widely affordable. The work is underway at big tech companies like Apple and Microsoft, at startups, and in university labs, but no one would dispute that the work is as slow as it is difficult. People who are blind or visually impaired live in a world where, as the science fiction author William Gibson once remarked, “The future is already here — it’s just not very evenly distributed.”
That state of affairs is the inspiration for Sight Tech Global. The event will convene the top technologists, human-computer interaction specialists, product designers, researchers, entrepreneurs and advocates to discuss the future of assistive technology as well as accessibility in general. Many of those experts and technologists are blind or visually impaired, and the event programming will stand firmly on the ground that no discussion or new product development is meaningful without the direct involvement of that community. Silicon Valley has great technologies but does not, on its own, have the answers.
The two days of programming on the virtual main stage will be free and available on a global basis both live and on-demand. There will also be a $25 Pro Pass for those who want to participate in specialized breakout sessions, Q&A with speakers, and virtual networking. Registration for the show opens soon; in the meantime anyone interested may request email updates here.
It’s important to note that there are many excellent events every year that focus on accessibility, and we respect their many abiding contributions and steady commitment. Sight Tech Global aims to complement the existing event line-up by focusing on hard questions about advanced technologies and the products and experiences they will drive in the years ahead – assuming they are developed hand-in-hand with their intended audience and with affordability, training and other social factors in mind.
In many respects, Sight Tech Global is taking a page from TechCrunch’s approach to its AI and robotics events over the past four years, which were in partnership with MIT and UC Berkeley. The concept was to have TechCrunch editors ask top experts in AI and related fields tough questions across the full spectrum of issues around these powerful technologies, from the promise of automation and machine autonomy to the downsides of job elimination and bias in AI-based systems. TechCrunch’s editors will be a part of this show, along with other expert moderators.
As the founder of Sight Tech Global, I am drawing on my extensive event experience at TechCrunch over eight years to produce this event. Both TechCrunch and its parent company, Verizon Media, are lending a hand in important ways. My own connection to the community is through my wife, Joan Desmond, who is legally blind.
The proceeds from sponsorships and ticket sales will go to the non-profit Vista Center for Blind and Visually Impaired, which has been serving Silicon Valley area for 75 years. The Vista Center owns the Sight Tech Global event and its executive director, Karae Lisle is the event’s chair. We have assembled a highly experienced team of volunteers to program and produce a rich, world-class virtual event on December 2-3.
Sponsors are welcome, and we have opportunities available ranging from branding support to content integration. Please email [email protected] for more information.
Our programming work is under way and we will announce speakers and sessions over the coming weeks. The programming committee includes Jim Fruchterman (Benetech / TechMatters) Larry Goldberg (Verizon Media), Matt King (Facebook) and Professor Roberto Manduchi (UC Santa Cruz). We welcome ideas and can be reached via [email protected]
For general inquiries, including collaborations on promoting the event, please contact [email protected].
| Announcing Sight Tech Global, an event on the future of AI and accessibility for people who are blind or visually impaired | Announcing Sight Tech Global, event future AI accessibility people blind visually impaired TechCrunch Announcing Sight Tech Global, event future AI accessibility people blind visually impaired Ned Desmond 10 hours Few challenges excited technologists building tools help people blind visually impaired. It Silicon Valley legend Ray Kurzweil, example, 1976 launched commercially available texttospeech reading device. He unveiled 50,000 Kurzweil Reading Machine, boxy device covered tabletop, press conference hosted National Federation Blind. The early work Kurzweil rippled commerce technology world stunning ways. Todays equivalent Kurzweils machine Microsofts Seeing AI app, uses AIbased image recognition read ways Kurzweil dreamed of. And free mobile phone. Remarkable leaps forward like foundation Sight Tech Global, new, virtual event slated Dec 23, bring worlds technology accessibility experts discuss rapid advances AI related technologies shape assistive technology accessibility years ahead. The technologies Microsofts Seeing AI evolutionary tree ones enable cars autonomous robots interact safely humans. Much advanced technology today stems early, challenging mission Silicon Valley engineers embraced teach machines behalf humans. From standpoint people suffer vision loss, technology available today astonishing, far anticipated years ago. Purposebuilt products like Seeing AI screen readers like JAWS remarkable tools. At time, consumer products including mobile phones, mapping apps, smart voice assistants game changers everyone, sight loss least. And yet, tech bonanza come close breaking barriers lives people navigate canes dogs sighted assistance, depend haphazard compliance accessibility standards use websites, feel isolated room people. A drive car 70 MPH human assistance comparable device help blind person walk sidewalk 3 MPH. In words, live world drive car 70 MPH human assistance comparable device help blind person walk sidewalk 3 MPH. A social media site identify billions people instant blind person readily identify person standing them. Todays powerful technologies, grounded AI, milled nextgeneration tools truly useful, happily embraced widely affordable. The work underway big tech companies like Apple Microsoft, startups, university labs, dispute work slow difficult. People blind visually impaired live world where, science fiction author William Gibson remarked, The future evenly distributed. That state affairs inspiration Sight Tech Global. The event convene technologists, humancomputer interaction specialists, product designers, researchers, entrepreneurs advocates discuss future assistive technology accessibility general. Many experts technologists blind visually impaired, event programming stand firmly ground discussion new product development meaningful direct involvement community. Silicon Valley great technologies not, own, answers. The days programming virtual main stage free available global basis live ondemand. There 25 Pro Pass want participate specialized breakout sessions, QA speakers, virtual networking. Registration opens soon; meantime interested request email updates here. Its important note excellent events year focus accessibility, respect abiding contributions steady commitment. Sight Tech Global aims complement existing event lineup focusing hard questions advanced technologies products experiences drive years ahead assuming developed handinhand intended audience affordability, training social factors mind. In respects, Sight Tech Global taking TechCrunchs approach AI robotics events past years, partnership MIT UC Berkeley. The concept TechCrunch editors ask experts AI related fields tough questions spectrum issues powerful technologies, promise automation machine autonomy downsides job elimination bias AIbased systems. TechCrunchs editors show, expert moderators. As founder Sight Tech Global, I drawing extensive event experience TechCrunch years produce event. Both TechCrunch parent company, Verizon Media, lending hand important ways. My connection community wife, Joan Desmond, legally blind. The proceeds sponsorships ticket sales nonprofit Vista Center Blind Visually Impaired, serving Silicon Valley area 75 years. The Vista Center owns Sight Tech Global event executive director, Karae Lisle events chair. We assembled highly experienced team volunteers program produce rich, worldclass virtual event December 23. Sponsors welcome, opportunities available ranging branding support content integration. Please email sponsor information. Our programming work way announce speakers sessions coming weeks. The programming committee includes Jim Fruchterman Benetech TechMatters Larry Goldberg Verizon Media, Matt King Facebook Professor Roberto Manduchi UC Santa Cruz. We welcome ideas reached programming For general inquiries, including collaborations promoting event, contact info | 2,020 | [
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https://www.explica.co/new-cheap-ai-smart-speaker/ | 2020-05-21T00:00:00 | en | new cheap AI smart speaker |
new cheap AI smart speaker
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new cheap AI smart speaker
The Xiiaomi Xiaoai Speaker Art is the new speaker that becomes part of the wide ecosystem of smart speakers that Xiaomi sells in China. None of these speakers are sold outside of their home country, as they use the company’s voice assistant, which is available only in Chinese. They could launch it internationally with other voice assistants such as Google that integrate into your Xiaomi Mi Box S. At the moment, getting them is quite complicated.
In total, Xiaomi has more than a dozen smart speakers for sale in China, including the AI Speaker, Speaker Pro, Speaker HD, Speaker Mini, etc. It also has two with a screen, the Mi Touch Screen Speaker Pro 8 being the most expensive they sell at a price of 599 yuan, about 77 euros in exchange. This device is equivalent to the Echo Show 8, which is worth 89.99 euros.
Xiaomi Xiaoai Speaker Art
Now they have launched a new very affordable speaker. This new Xiaoai Speaker Art It has a white textured metal body, and incorporates tactile buttons on the top that are used to control playback, change the volume or mute the microphone. In addition, at the top it has a RGB LED ring that offers up to 16 million colors to combine as we want.
The speaker has a full range speaker Integrated 2.5-inch, plus a U-shaped system to enhance bass. The speaker has 10,531 holes on the side to let sound pass through. Unfortunately, Xiaomi does not detail what the RMS power of the speaker is.
At the software level, as we said, it uses the Xiaomi AI, compatible with 100 million audio content including audiobooks, stories and stories. It also allows us to connect our mobiles and use it as a Bluetooth speaker to listen to our music on it. In turn, it also serves as a home automation center to control smart home devices.
Its price is only 349 yuan, about 45 euros to change, although during the first days of launch it can be obtained for 299 yuan, about 39 euros to change.
Mijia 2900 mAh batteries
This week, Xiaomi has also released the Mijia Super Battery, AA batteries resistant to cold, liquid leaks and low charges. They offer a capacity of 2900 mAh, offering between two and five times more energy in the same space than other batteries, in addition to being somewhat lighter. This is achieved thanks to highly advanced internal winding technology. Also, it uses neither mercury nor cadmium. Its price is 19.9 yuan for a pack of 4, which is equivalent to 2.6 euros. During the crowfunding they can be purchased at 16.9 yuan, about 2.2 euros.
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| new cheap AI smart speaker | new cheap AI smart speaker Home News World News Economy Entertainment TV Movies Music People Health Coronavirus HiTech Mobile Gaming Internet Apple Sports Football MMA UFC Motors NBA Tennis NFL WWE Science Economy Financial USA New York HiTech May 21, 2020 0 new cheap AI smart speaker The Xiiaomi Xiaoai Speaker Art new speaker wide ecosystem smart speakers Xiaomi sells China. None speakers sold outside home country, use companys voice assistant, available Chinese. They launch internationally voice assistants Google integrate Xiaomi Mi Box S. At moment, getting complicated. In total, Xiaomi dozen smart speakers sale China, including AI Speaker, Speaker Pro, Speaker HD, Speaker Mini, etc. It screen, Mi Touch Screen Speaker Pro 8 expensive sell price 599 yuan, 77 euros exchange. This device equivalent Echo Show 8, worth 89.99 euros. Xiaomi Xiaoai Speaker Art Now launched new affordable speaker. This new Xiaoai Speaker Art It white textured metal body, incorporates tactile buttons control playback, change volume mute microphone. In addition, RGB LED ring offers 16 million colors combine want. The speaker range speaker Integrated 2.5inch, plus Ushaped enhance bass. The speaker 10,531 holes let sound pass through. Unfortunately, Xiaomi RMS power speaker is. At software level, said, uses Xiaomi AI, compatible 100 million audio content including audiobooks, stories stories. It allows connect mobiles use Bluetooth speaker listen music it. In turn, serves home automation center control smart home devices. Its price 349 yuan, 45 euros change, days launch obtained 299 yuan, 39 euros change. Mijia 2900 mAh batteries This week, Xiaomi released Mijia Super Battery, AA batteries resistant cold, liquid leaks low charges. They offer capacity 2900 mAh, offering times energy space batteries, addition somewhat lighter. This achieved thanks highly advanced internal winding technology. Also, uses mercury cadmium. Its price 19.9 yuan pack 4, equivalent 2.6 euros. During crowfunding purchased 16.9 yuan, 2.2 euros. Share Article: May 21, 2020 Stephen King: First images series The Stand based novel May 21, 2020 Gears War 3 video PS3 real, says Epic Games Related Articles May 21, 2020 Create artificial eye capable mimicking resolution human vision May 21, 2020 This rarity Tesla Model 3 convertible world News Hybrids Electric May 21, 2020 Alternatives GIPHY upload share GIFs May 21, 2020 Galaxy S Book Intel CPU Goodbye ARM? May 21, 2020 Grand Theft Auto V free explain download Advertising Related Articles May 21, 2020 Create artificial eye capable mimicking resolution human vision May 21, 2020 This rarity Tesla Model 3 convertible world News Hybrids Electric May 21, 2020 Alternatives GIPHY upload share GIFs May 21, 2020 Galaxy S Book Intel CPU Goodbye ARM? May 21, 2020 Grand Theft Auto V free explain download Advertising 2020 We use cookies ensure best experience website. If continue use site assume happy it.OkNoPrivacy policy | 2,020 | [
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https://turkeynewsgazette.com/huawei-atlas-900-ai-cluster-wins-the-red-dot-award-2020/ | 2020-04-03T00:00:00 | en | Huawei Atlas 900 AI Cluster Wins the Red Dot Award 2020 | Turkey News Gazette |
Huawei Atlas 900 AI Cluster Wins the Red Dot Award 2020 | Turkey News Gazette
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Press Release
Huawei MENA Press Release
Huawei Atlas 900 AI Cluster Wins the Red Dot Award 2020
April 3, 2020
ESSEN, Germany, April 3, 2020 /PRNewswire/ — The Huawei Atlas 900 AI cluster is the winner of the Red Dot Award 2020, standing out from thousands of entries to clinch the prize. Reviewed by a professional jury panel, the Atlas 900 AI cluster is recognized for its sharp design and groundbreaking innovation. After the Atlas 300 and Atlas 500, Atlas 900 becomes the third member of the Huawei Atlas family to be honored by the Red Dot Award. The awards are a hallmark of unparalleled quality and design for the Huawei Atlas products.
The Atlas 900 AI cluster set a new benchmark with its top cluster network, modular deployment, heat dissipation system, holistic design, performance, extensibility, and human-centric details.
Top cluster network: Standing as the pinnacle of AI computing, Atlas 900 combines thousands of Huawei Ascend 910 AI processors to create the world’s fastest AI training cluster. On the frontier of scientific research and business innovation, Atlas 900 empowers researchers with never-before-seen speeds to train AI models with image and video data. Perfect for daily or complex tasks, the cluster is supercharging the ways we explore the universe, predict weather, explore natural resources, and bring autonomous cars to market.
Modular deployment: The Atlas 900 AI cluster provides a flexible solution to facilitate capacity expansion for specific scenarios. It offers abundant computing resources in the form of cloud services, making technological innovation and inclusive AI more accessible.
Ultimate heat dissipation: Atlas 900 incorporates a cutting-edge hybrid liquid cooling design, which leverages rack-scale enclosed adiabatic technology to deliver a liquid cooling ratio of over 95%. The design dissipates heat marvelously for each rack of up to 50 kW power consumption, achieving a power usage effectiveness (PUE) lower than 1.1, the best-in-class energy efficiency for data centers (an ideal PUE is 1.0). Atlas 900 works with ultra-low power consumption and noise, and saves equipment room space by 80%.
Holistic design: The Atlas 900 AI cluster comes in a unified, compact integrated design. The racks on both sides form the shape of square brackets “[ ]”. In computer science, square brackets are used to represent character sets, and likewise represent the least common multiple in elementary number theory. This analogy is perfect for the Atlas 900 AI cluster, because the increase in the number of devices is not simply a 1 + 1 = 2 equation, but rather exponential growth of outstanding AI computing power.
Performance: The architect hones the edges and surfaces of the Atlas 900 AI cluster to deliver a compelling, futuristic look, in line with the superior performance needed for the digital age.
Extensibility: The design contributes to the flexible extensibility of Atlas 900. As more racks are added, the rack cluster maintains a sense of natural continuity and efficiency, resonating with the data flowing in the cluster.
Human-centric details: Atlas 900 takes details to lengths none of its counterparts has achieved before. Every inch of the cluster exudes quality, both natural and revolutionary in its aesthetics and technology.
The Red Dot Award is one of the world’s most prestigious awards for industrial design. This award is just the latest of a list of honors attached to the Atlas family. Other appraisals include the GSMA GLOMO Awards 2020, where the Atlas 900 was awarded the Tech of the Future Award in recent months.
About Huawei
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
Huawei’s end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.
At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 194,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company wholly owned by its employees. For more information, please visit Huawei online at www.huawei.com or follow us on:
http://www.linkedin.com/company/Huawei
http://www.twitter.com/Huawei
http://www.facebook.com/Huawei
http://www.youtube.com/Huawei
About the Red Dot Award
The Red Dot Award is an internationally recognized seal for the best-of-breed design quality. It is awarded by the Design Zentrum Nordrhein Westfalen in Essen, Germany. The Red Dot Award, together with the IF Award of Germany and the IDEA Award of the U.S., are the top design awards in the world. Every year, tens of thousands of entries contend for the Red Dot Award. Only products of unbeatable innovation, usability, and user experience are recognized.
Photo – https://mma.prnewswire.com/media/1141221/AI_cluster.jpg
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| Huawei Atlas 900 AI Cluster Wins the Red Dot Award 2020 | Huawei Atlas 900 AI Cluster Wins Red Dot Award 2020 Turkey News Gazette Skip content Friday, April 3, 2020 Turkey News Gazette Turkey News Gazette General Production Education Fashion Lifestyle Health Care Games Foreign Affairs Human Rights Press Release HuaweiMENAPress Release Huawei Atlas 900 AI Cluster Wins Red Dot Award 2020 April 3, 2020 ESSEN, Germany, April 3, 2020 PRNewswire The Huawei Atlas 900 AI cluster winner Red Dot Award 2020, standing thousands entries clinch prize. Reviewed professional jury panel, Atlas 900 AI cluster recognized sharp design groundbreaking innovation. After Atlas 300 Atlas 500, Atlas 900 member Huawei Atlas family honored Red Dot Award. The awards hallmark unparalleled quality design Huawei Atlas products. The Atlas 900 AI cluster set new benchmark cluster network, modular deployment, heat dissipation system, holistic design, performance, extensibility, humancentric details. Top cluster network: Standing pinnacle AI computing, Atlas 900 combines thousands Huawei Ascend 910 AI processors create worlds fastest AI training cluster. On frontier scientific research business innovation, Atlas 900 empowers researchers neverbeforeseen speeds train AI models image video data. Perfect daily complex tasks, cluster supercharging ways explore universe, predict weather, explore natural resources, bring autonomous cars market. Modular deployment: The Atlas 900 AI cluster provides flexible solution facilitate capacity expansion specific scenarios. It offers abundant computing resources form cloud services, making technological innovation inclusive AI accessible. Ultimate heat dissipation: Atlas 900 incorporates cuttingedge hybrid liquid cooling design, leverages rackscale enclosed adiabatic technology deliver liquid cooling ratio 95. The design dissipates heat marvelously rack 50 kW power consumption, achieving power usage effectiveness PUE lower 1.1, bestinclass energy efficiency data centers ideal PUE 1.0. Atlas 900 works ultralow power consumption noise, saves equipment room space 80. Holistic design: The Atlas 900 AI cluster comes unified, compact integrated design. The racks sides form shape square brackets [ ]. In science, square brackets represent character sets, likewise represent common multiple elementary number theory. This analogy perfect Atlas 900 AI cluster, increase number devices simply 1 1 = 2 equation, exponential growth outstanding AI computing power. Performance: The architect hones edges surfaces Atlas 900 AI cluster deliver compelling, futuristic look, line superior performance needed digital age. Extensibility: The design contributes flexible extensibility Atlas 900. As racks added, rack cluster maintains sense natural continuity efficiency, resonating data flowing cluster. Humancentric details: Atlas 900 takes details lengths counterparts achieved before. Every inch cluster exudes quality, natural revolutionary aesthetics technology. The Red Dot Award worlds prestigious awards industrial design. This award latest list honors attached Atlas family. Other appraisals include GSMA GLOMO Awards 2020, Atlas 900 awarded Tech Future Award recent months. About Huawei Huawei leading global provider information communications technology ICT infrastructure smart devices. With integrated solutions key domains telecom networks, IT, smart devices, cloud services committed bringing digital person, home organization fully connected, intelligent world. Huaweis endtoend portfolio products, solutions services competitive secure. Through open collaboration ecosystem partners, create lasting value customers, working empower people, enrich home life, inspire innovation organizations shapes sizes. At Huawei, innovation focuses customer needs. We invest heavily basic research, concentrating technological breakthroughs drive world forward. We 194,000 employees, operate 170 countries regions. Founded 1987, Huawei private company wholly owned employees. For information, visit Huawei online follow on: About Red Dot Award The Red Dot Award internationally recognized seal bestofbreed design quality. It awarded Design Zentrum Nordrhein Westfalen Essen, Germany. The Red Dot Award, IF Award Germany IDEA Award U.S., design awards world. Every year, tens thousands entries contend Red Dot Award. Only products unbeatable innovation, usability, user experience recognized. Photo US Lighting Group Develops UV LED Light Bulb Help Fight Spread Viral Pathogens Like COVID19 Techstars Launches Global Online Startup Weekend Events Aimed Fighting COVID19 You May Also Like Canton Fair Finding Partners Sense Responsibility Red Cross November 27, 2017 Asianet Pakistan October 2, 2019 Asianet Pakistan August 4, 2018 Asianet Pakistan Browse PagesHome Us Submit News Sitemap Advertisement Calendar April 2020 M T W T F S S Mar 12345 6789101112 13141516171819 20212223242526 27282930 Archives Archives Select Month April 2020 March 2020 February 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 March 2019 February 2019 January 2019 December 2018 November 2018 October 2018 September 2018 August 2018 July 2018 June 2018 May 2018 April 2018 March 2018 February 2018 January 2018 December 2017 November 2017 October 2017 September 2017 August 2017 July 2017 June 2017 May 2017 April 2017 March 2017 February 2017 January 2017 December 2016 November 2016 October 2016 September 2016 August 2016 July 2016 June 2016 May 2016 April 2016 March 2016 February 2016 CategoriesGeneral Production Education Fashion Lifestyle Health Care Games Foreign Affairs Human Rights Press Release 2020 Turkey News Gazette. . | 2,020 | [
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https://3wnews.org/uncategorised/247391/%EF%BB%BF-artificial-intelligence-platform-market-key-trends-manufacturers-in-globe-benefits-opportunities-share-trend-segmentation-and-forecast-by-2025/ | 2020-03-16T00:00:00 | en | Artificial Intelligence Platform Market Key Trends, Manufacturers in Globe, Benefits, Opportunities, Share, Trend, Segmentation and Forecast by 2025 – 3rd Watch News |
Artificial Intelligence Platform Market Key Trends, Manufacturers in Globe, Benefits, Opportunities, Share, Trend, Segmentation and Forecast by 2025 – 3rd Watch News
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Artificial Intelligence Platform Market Key Trends, Manufacturers in Globe, Benefits, Opportunities, Share, Trend, Segmentation and Forecast by 2025
Posted On: March 16, 2020
Posted By: [email protected]
Comments: 0
The Report titled: Global Artificial Intelligence Platform Market Analysis: Production, Capacity, Sales, Revenue, Trends, Revenue Share, and Forecast till 2024
The authors of the Artificial Intelligence Platform Market Report have done extensive study of the global Artificial Intelligence Platform market keeping in mind the key aspects such as growth determinants, opportunities, challenges, restraints, and market developments. This analysis will enrich the ability of the companies involved in the global Artificial Intelligence Platform market to make precise decisions. The report also emphasizes on the current and future trends in the global Artificial Intelligence Platform market, which may bode well for the global Artificial Intelligence Platform market in the coming years.
Get Free Exclusive Sample of this Premium Report at @ https://www.esherpamarketreports.com/request-sample/es-265984/
Table of Contents:
Section 1 Artificial Intelligence Platform Product Definition Section 2 Global Artificial Intelligence Platform Market Manufacturer Share and Market Overview 2.1 Global Manufacturer Artificial Intelligence Platform Shipments 2.2 Global Manufacturer Artificial Intelligence Platform Business Revenue 2.3 Global Artificial Intelligence Platform Market Overview Section 3 Manufacturer Artificial Intelligence Platform Business Introduction Section 4 Global Artificial Intelligence Platform Market Segmentation (Region Level) 5.1 Global Artificial Intelligence Platform Market Segmentation (Product Type Level) Market Size 2014-2019 5.2 Different Artificial Intelligence Platform Product Type Price 2014-2019 5.3 Global Artificial Intelligence Platform Market Segmentation (Product Type Level) Analysis Section 6 Global Artificial Intelligence Platform Market Segmentation (Industry Level) 6.1 Global Artificial Intelligence Platform Market Segmentation (Industry Level) Market Size 2014-2019 6.2 Different Industry Price 2014-2019 6.3 Global Artificial Intelligence Platform Market Segmentation (Industry Level) Analysis Section 7 Global Artificial Intelligence Platform Market Segmentation (Channel Level)
…. And More
Click Here For Detailed Table Of Contents
Global Artificial Intelligence Platform Market Segment by Manufacturers, this report covers: –
Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft, Yseop, Ipsoft, NanoRep(LogMeIn), Ada Support, Astute Solutions, IDEAL.com, Wipro
Global Artificial Intelligence Platform Market Segment by Type, covers
On-Premise
Cloud-based
Global Artificial Intelligence Platform Market Segment by Applications, can be divided into
Voice Processing
Text Processing
Image Processing
Enquire before purchasing this report @ https://www.esherpamarketreports.com/pre-order-enquiry/es-265984
Key Highlights of Artificial Intelligence Platform Market Report:
The report covers Artificial Intelligence Platform applications, market dynamics, and the study of emerging and existing market segments. It portrays market overview, product classification, applications, and market volume forecast from 2020-2024.
It provides analysis on the industry chain scenario, key market players, market volume, upstream raw material details, production cost, and marketing channels.
The growth opportunities, limitations to the market growth are identified using the SWOT analysis
It conducts the feasibility study, explores the industry barriers, data sources and provides key research findings
The report delivers analysis on consumption volume, region-wise import/export analysis and forecast market from 2020-2024.
Reasons To Buy:
Analyzing the outlook of the market with the recent trends and SWOT analysis
Market dynamics scenario, along with growth opportunities of the market in the years to come
Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
Purchase this Report with Full Access @ https://www.esherpamarketreports.com/purchase/es-265984/
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eSherpa Market Reports is the credible source for gaining the market research reports that will exponentially accelerate your business. We are among the leading report resellers in the business world committed towards optimizing your business. The reports we provide are based on a research that covers a magnitude of factors such as technological evolution, economic shifts and a detailed study of market segments.
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| Artificial Intelligence Platform Market Key Trends, Manufacturers in Globe, Benefits, Opportunities, Share, Trend, Segmentation and Forecast by 2025 | Artificial Intelligence Platform Market Key Trends, Manufacturers Globe, Benefits, Opportunities, Share, Trend, Segmentation Forecast 2025 3rd Watch News Us 3rd Watch News 3rd Market Reports Analytics News Market Reports Industry Analytics Industry Reports Market Research Business Opportunity Emerging Trends Growth Prospects HomeGlobal News Artificial Intelligence Platform Market Key Trends, Manufacturers Globe, Benefits, Opportunities, Share, Trend, Segmentation Forecast 2025 Artificial Intelligence Platform Market Key Trends, Manufacturers Globe, Benefits, Opportunities, Share, Trend, Segmentation Forecast 2025 Posted On: March 16, 2020 Posted By: [emailprotected] Comments: 0 The Report titled: Global Artificial Intelligence Platform Market Analysis: Production, Capacity, Sales, Revenue, Trends, Revenue Share, Forecast till 2024 The authors Artificial Intelligence Platform Market Report extensive study global Artificial Intelligence Platform market keeping mind key aspects growth determinants, opportunities, challenges, restraints, market developments. This analysis enrich ability companies involved global Artificial Intelligence Platform market precise decisions. The report emphasizes current future trends global Artificial Intelligence Platform market, bode global Artificial Intelligence Platform market coming years. Get Free Exclusive Sample Premium Report @ Table Contents: Section 1 Artificial Intelligence Platform Product Definition Section 2 Global Artificial Intelligence Platform Market Manufacturer Share Market Overview 2.1 Global Manufacturer Artificial Intelligence Platform Shipments 2.2 Global Manufacturer Artificial Intelligence Platform Business Revenue 2.3 Global Artificial Intelligence Platform Market Overview Section 3 Manufacturer Artificial Intelligence Platform Business Introduction Section 4 Global Artificial Intelligence Platform Market Segmentation Region Level 5.1 Global Artificial Intelligence Platform Market Segmentation Product Type Level Market Size 20142019 5.2 Different Artificial Intelligence Platform Product Type Price 20142019 5.3 Global Artificial Intelligence Platform Market Segmentation Product Type Level Analysis Section 6 Global Artificial Intelligence Platform Market Segmentation Industry Level 6.1 Global Artificial Intelligence Platform Market Segmentation Industry Level Market Size 20142019 6.2 Different Industry Price 20142019 6.3 Global Artificial Intelligence Platform Market Segmentation Industry Level Analysis Section 7 Global Artificial Intelligence Platform Market Segmentation Channel Level . And More Click Here For Detailed Table Of Contents Global Artificial Intelligence Platform Market Segment Manufacturers, report covers: Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft, Yseop, Ipsoft, NanoRepLogMeIn, Ada Support, Astute Solutions, , Wipro Global Artificial Intelligence Platform Market Segment Type, covers OnPremise Cloudbased Global Artificial Intelligence Platform Market Segment Applications, divided Voice Processing Text Processing Image Processing Enquire purchasing report @ Key Highlights Artificial Intelligence Platform Market Report: The report covers Artificial Intelligence Platform applications, market dynamics, study emerging existing market segments. It portrays market overview, product classification, applications, market volume forecast 20202024. It provides analysis industry chain scenario, key market players, market volume, upstream raw material details, production cost, marketing channels. The growth opportunities, limitations market growth identified SWOT analysis It conducts feasibility study, explores industry barriers, data sources provides key research findings The report delivers analysis consumption volume, regionwise importexport analysis forecast market 20202024. Reasons To Buy: Analyzing outlook market recent trends SWOT analysis Market dynamics scenario, growth opportunities market years come Market segmentation analysis including qualitative quantitative research incorporating impact economic noneconomic aspects Regional country level analysis integrating demand supply forces influencing growth market. Market value USD Million volume Units Million data segment subsegment Competitive landscape involving market share major players, new projects strategies adopted players past years Comprehensive company profiles covering product offerings, key financial information, recent developments, SWOT analysis, strategies employed major market players Purchase Report Full Access @ Us: Name: Jason George Email: [emailprotected] Call :USA: 1 408 757 0510 Organization: eSherpa Market Reports : eSherpa Market Reports credible source gaining market research reports exponentially accelerate business. We leading report resellers business world committed optimizing business. The reports provide based research covers magnitude factors technological evolution, economic shifts detailed study market segments. Click Here For Other Reports immune thrombocytopenia itp Market 2020 Manufacturing Base Competitors, Business Overview Revenue, Price Gross Margin rf power amplifier Market Analysis, Growth Top Companies, Trends Types Application, Growth Rate Analysis Forecast 2027 Artificial Intelligence Platform Applications 2020Artificial Intelligence Platform forecast 2020Artificial Intelligence Platform industry 2020Artificial Intelligence Platform Industry Analysis 2020Artificial Intelligence Platform Key Players 2020Artificial Intelligence Platform Manufacturer Profiles 2020Artificial Intelligence Platform Market Dynamics 2020Artificial Intelligence Platform Market Intelligence 2020Artificial Intelligence Platform market overview 2020Artificial Intelligence Platform marketshare 2020Artificial Intelligence Platform marketsize 2020Artificial Intelligence Platform projections 2020Artificial Intelligence Platform research 2020Artificial Intelligence Platform Research Report 2020Artificial Intelligence Platform Revenue 2020Artificial Intelligence Platform Sales Data 2020Artificial Intelligence Platform trends 2020 Post navigation Prev PostNext Post Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Recent Posts Honey Food Market Future Scenario, Growth rate, Market Segmentation, Industrial Opportunities 2027 Automated Border Control Systems Market Analysis 2024 Intensifying Globally With Top Companies: VisionBox, Sita, Secunet AG, OTMorpho, Gemalto, NEC Market Intelligence Report Industrial Refrigeration Equipment , 20192026 Computer Forensic Technologies Services Market Size, Emerging Evolution Opportunities 20202027 Monochrome Medical Monitor Market Report Opportunities, Challenges, Growth, Revenue 20202027 Recent CommentsKelapek CARDIOLOGY INFORMATION SYSTEM CIS MARKET TRENDS, MARKET SHARE, INDUSTRY SIZE, GROWTH, SALES, OPPORTUNITIES, ANALYSIS AND FORECAST TO 2028Archives March 2020 February 2020 January 2020 December 2019 Categories Business Opportunity Emerging Trends Global News Growth Prospects Industry Industry Analytics Industry Reports Lifestyle Market Market Research News Reports Satellite Sections Space Meta Log Entries RSS Comments RSS 3rd Watch News Everestthemes | 2,020 | [
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“GLOBAL Plastic Injection Molding for Medical Device MARKET IS ESTIMATED TO REGISTER A CAGR OF X.X% DURING THE PROJECTED PERIOD, 2020-2026: BD ,Teleflex ,BBRAUN ,Terumo ,Edwards ,C. R. Bard ,Flex..More”
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The report offers a complete research study of the global Plastic Injection Molding for Medical Device Market that includes accurate forecasts and analysis at global, regional, and country levels. It provides a comprehensive view of the global Plastic Injection Molding for Medical Device market and detailed value chain analysis to help players to closely understand important changes in business activities observed across the industry. It also offers a deep segmental analysis of the global Plastic Injection Molding for Medical Device market where key product and application segments are shed light upon. Readers are provided with actual market figures related to the size of the global Plastic Injection Molding for Medical Device market in terms of value and volume for the forecast period 2020-2026.
Highlights of the Report
Concrete market size and CAGR estimates for the duration 2020-2026
Association and in-depth estimate of growth possibilities in key sections and regions
Detailed company information about the top players of the global Plastic Injection Molding for Medical Device market
Detailed analysis of the discovery and other courses of the global Plastic Injection Molding for Medical Device market
Reliable enterprise value chain and supply chain analysis
A complete breakdown of major growth hacks, constraints, difficulties, and growth prospects.
Get Free Exclusive Sample of this Premium Report at @ https://www.esherpamarketreports.com/request-sample/es-379788/
Global Plastic Injection Molding for Medical Device Market Segment by Type, covers
Drug Delivery Products
Diagnostic Drug Test Kits
Package and Container
Surgical Consumables
Others
Global Plastic Injection Molding for Medical Device Market Segment by Applications, can be divided into
Hospitals
Clinics
R & D
Global Plastic Injection Molding for Medical Device Market Segment by Manufacturers, this report covers: –
BD
Teleflex
BBRAUN
Terumo
Edwards
C. R. Bard
Flextronics
Smith’s Medical
Wego
Phillips Medisize
Nipro
ICU
Boston Scientific
SMC Plastics Ltd.
CandJ Industries
Eastek International
Kindly
Merit Medical
JunoPacific Inc.
Freudenberg
QFC Plastics
PCE Inc
Spectrum Plastics Group
Inc
Electroplast
Key Factors Involved in the Report:
Plastic Injection Molding for Medical Device Market Forecast by regions, type, and application, with sales and revenue, from 2020 to 2026.
Plastic Injection Molding for Medical Device Market Share, distributors, major suppliers, changing price patterns and the supply chain of raw materials is highlighted in the report.
Plastic Injection Molding for Medical Device Market Size (sales, revenue) forecast by regions and countries from 2020 to 2026 of the Plastic Injection Molding for Medical Device industry.
Plastic Injection Molding for Medical Device Market Growth is expected to grow at a CAGR of roughly XX% over the next five years, will reach XX million US$ in 2026, from XX million US$ in 2020, according to a new study.
Plastic Injection Molding for Medical Device Market Trend for Development and marketing channels are analyzed. Finally, the practicality of latest investment plans is studied and overall research conclusions offered.
Plastic Injection Molding for Medical Device Market Report also mentions market share accrued by each product in the Plastic Injection Molding for Medical Device market, along with the production growth.
Table of Contents 1 Plastic Injection Molding for Medical Device Market Overview 1.1 Product Overview and Scope of Plastic Injection Molding for Medical Device 1.2 Plastic Injection Molding for Medical Device Segment by Type 1.2.1 Global Plastic Injection Molding for Medical Device Production Growth Rate Comparison by Type 2020 VS 2026 1.2.2 Compact Type Plastic Injection Molding for Medical Device 1.2.3 Standard Type Plastic Injection Molding for Medical Device 1.3 Plastic Injection Molding for Medical Device Segment by Application 1.3.1 Plastic Injection Molding for Medical Device Consumption Comparison by Application: 2020 VS 2026 1.4 Global Plastic Injection Molding for Medical Device Market by Region 1.4.1 Global Plastic Injection Molding for Medical Device Market Size Estimates and Forecasts by Region: 2020 VS 2026 1.4.2 North America Estimates and Forecasts (2015-2026) 1.4.3 Europe Estimates and Forecasts (2015-2026) 1.4.4 China Estimates and Forecasts (2015-2026) 1.4.5 Japan Estimates and Forecasts (2015-2026) 1.5 Global Plastic Injection Molding for Medical Device Growth Prospects 1.5.1 Global Plastic Injection Molding for Medical Device Revenue Estimates and Forecasts (2015-2026) 1.5.2 Global Plastic Injection Molding for Medical Device Production Capacity Estimates and Forecasts (2015-2026) 1.5.3 Global Plastic Injection Molding for Medical Device Production Estimates and Forecasts (2015-2026) 2 Market Competition by Manufacturers 2.1 Global Plastic Injection Molding for Medical Device Production Capacity Market Share by Manufacturers (2015-2020) 2.2 Global Plastic Injection Molding for Medical Device Revenue Share by Manufacturers (2015-2020) 2.3 Market Share by Company Type (Tier 1, Tier 2 and Tier 3) 2.4 Global Plastic Injection Molding for Medical Device Average Price by Manufacturers (2015-2020) 2.5 Manufacturers Plastic Injection Molding for Medical Device Production Sites, Area Served, Product Types 2.6 Plastic Injection Molding for Medical Device Market Competitive Situation and Trends 2.6.1 Plastic Injection Molding for Medical Device Market Concentration Rate 2.6.2 Global Top 3 and Top 5 Players Market Share by Revenue 2.6.3 Mergers & Acquisitions, Expansion 3 Production Capacity by Region 3.1 Global Production Capacity of Plastic Injection Molding for Medical Device Market Share by Regions (2015-2020) 3.2 Global Plastic Injection Molding for Medical Device Revenue Market Share by Regions (2015-2020) 3.3 Global Plastic Injection Molding for Medical Device Production Capacity, Revenue, Price and Gross Margin (2015-2020) 3.4 North America Plastic Injection Molding for Medical Device Production 3.4.1 North America Plastic Injection Molding for Medical Device Production Growth Rate (2015-2020) 3.4.2 North America Plastic Injection Molding for Medical Device Production Capacity, Revenue, Price and Gross Margin (2015-2020) 3.5 Europe Plastic Injection Molding for Medical Device Production 3.5.1 Europe Plastic Injection Molding for Medical Device Production Growth Rate (2015-2020) 3.5.2 Europe Plastic Injection Molding for Medical Device Production Capacity, Revenue, Price and Gross Margin (2015-2020) 3.6 China Plastic Injection Molding for Medical Device Production 3.6.1 China Plastic Injection Molding for Medical Device Production Growth Rate (2015-2020) 3.6.2 China Plastic Injection Molding for Medical Device Production Capacity, Revenue, Price and Gross Margin (2015-2020) 3.7 Japan Plastic Injection Molding for Medical Device Production 3.7.1 Japan Plastic Injection Molding for Medical Device Production Growth Rate (2015-2020) 3.7.2 Japan Plastic Injection Molding for Medical Device Production Capacity, Revenue, Price and Gross Margin (2015-2020) 4 Global Plastic Injection Molding for Medical Device Consumption by Regions 4.1 Global Plastic Injection Molding for Medical Device Consumption by Regions 4.1.1 Global Plastic Injection Molding for Medical Device Consumption by Region 4.1.2 Global Plastic Injection Molding for Medical Device Consumption Market Share by Region 5 Production, Revenue, Price Trend by Type …. And More
Click Here For Detailed Table Of Contents
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Reasons To Buy:
Analyzing the outlook of the market with the recent trends and SWOT analysis
Market dynamics scenario, along with growth opportunities of the market in the years to come
Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
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| “GLOBAL Plastic Injection Molding for Medical Device MARKET IS ESTIMATED TO REGISTER A CAGR OF X.X% DURING THE PROJECTED PERIOD, 2020-2026: BD ,Teleflex ,BBRAUN ,Terumo ,Edwards ,C. R. Bard ,Flex..More” | GLOBAL Plastic Injection Molding Medical Device MARKET IS ESTIMATED TO REGISTER A CAGR OF X.X DURING THE PROJECTED PERIOD, 20202026: BD ,Teleflex ,BBRAUN ,Terumo ,Edwards ,C. R. Bard ,Flex..More Nyse News Times Skip content Friday, March 13, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Featured Industry Analysis Industry Reports Market Analysis Market Outlook Market Research Technology GLOBAL Plastic Injection Molding Medical Device MARKET IS ESTIMATED TO REGISTER A CAGR OF X.X DURING THE PROJECTED PERIOD, 20202026: BD ,Teleflex ,BBRAUN ,Terumo ,Edwards ,C. R. Bard ,Flex..More esherpa March 13, 2020 No Comments Plastic Injection Molding Medical Device Applications 2020Plastic Injection Molding Medical Device forecast 2020Plastic Injection Molding Medical Device industry 2020Plastic Injection Molding Medical Device Industry Analysis 2020Plastic Injection Molding Medical Device Key Players 2020Plastic Injection Molding Medical Device Manufacturer Profiles 2020Plastic Injection Molding Medical Device Market Dynamics 2020Plastic Injection Molding Medical Device Market Intelligence 2020Plastic Injection Molding Medical Device market overview 2020Plastic Injection Molding Medical Device marketshare 2020Plastic Injection Molding Medical Device marketsize 2020Plastic Injection Molding Medical Device projections 2020Plastic Injection Molding Medical Device research 2020Plastic Injection Molding Medical Device Research Report 2020Plastic Injection Molding Medical Device Revenue 2020Plastic Injection Molding Medical Device Sales Data 2020Plastic Injection Molding Medical Device trends 2020 The report offers complete research study globalPlastic Injection Molding Medical Device Marketthat includes accurate forecasts analysis global, regional, country levels. It provides comprehensive view globalPlastic Injection Molding Medical Device marketand detailed value chain analysis help players closely understand important changes business activities observed industry. It offers deep segmental analysis global Plastic Injection Molding Medical Device market key product application segments shed light upon. Readers provided actual market figures related size global Plastic Injection Molding Medical Device market terms value volume forecast period 20202026. Highlights Report Concrete market size CAGR estimates duration 20202026 Association indepth estimate growth possibilities key sections regions Detailed company information players global Plastic Injection Molding Medical Device market Detailed analysis discovery courses global Plastic Injection Molding Medical Device market Reliable enterprise value chain supply chain analysis A complete breakdown major growth hacks, constraints, difficulties, growth prospects. Get Free Exclusive Sample Premium Report @ Global Plastic Injection Molding Medical Device Market Segment Type, covers Drug Delivery Products Diagnostic Drug Test Kits Package Container Surgical Consumables Others Global Plastic Injection Molding Medical Device Market Segment Applications, divided Hospitals Clinics R D Global Plastic Injection Molding Medical Device Market Segment Manufacturers, report covers: BD Teleflex BBRAUN Terumo Edwards C. R. Bard Flextronics Smiths Medical Wego Phillips Medisize Nipro ICU Boston Scientific SMC Plastics Ltd. CandJ Industries Eastek International Kindly Merit Medical JunoPacific . Freudenberg QFC Plastics PCE Spectrum Plastics Group Electroplast Key Factors Involved Report: Plastic Injection Molding Medical Device Market Forecast regions, type, application, sales revenue, 2020 2026. Plastic Injection Molding Medical Device Market Share, distributors, major suppliers, changing price patterns supply chain raw materials highlighted report. Plastic Injection Molding Medical Device Market Size sales, revenue forecast regions countries 2020 2026 Plastic Injection Molding Medical Device industry. Plastic Injection Molding Medical Device Market Growth expected grow CAGR roughly XX years, reach XX million US 2026, XX million US 2020, according new study. Plastic Injection Molding Medical Device Market Trend Development marketing channels analyzed. Finally, practicality latest investment plans studied overall research conclusions offered. Plastic Injection Molding Medical Device Market Report mentions market share accrued product Plastic Injection Molding Medical Device market, production growth. Table Contents 1 Plastic Injection Molding Medical Device Market Overview 1.1 Product Overview Scope Plastic Injection Molding Medical Device 1.2 Plastic Injection Molding Medical Device Segment Type 1.2.1 Global Plastic Injection Molding Medical Device Production Growth Rate Comparison Type 2020 VS 2026 1.2.2 Compact Type Plastic Injection Molding Medical Device 1.2.3 Standard Type Plastic Injection Molding Medical Device 1.3 Plastic Injection Molding Medical Device Segment Application 1.3.1 Plastic Injection Molding Medical Device Consumption Comparison Application: 2020 VS 2026 1.4 Global Plastic Injection Molding Medical Device Market Region 1.4.1 Global Plastic Injection Molding Medical Device Market Size Estimates Forecasts Region: 2020 VS 2026 1.4.2 North America Estimates Forecasts 20152026 1.4.3 Europe Estimates Forecasts 20152026 1.4.4 China Estimates Forecasts 20152026 1.4.5 Japan Estimates Forecasts 20152026 1.5 Global Plastic Injection Molding Medical Device Growth Prospects 1.5.1 Global Plastic Injection Molding Medical Device Revenue Estimates Forecasts 20152026 1.5.2 Global Plastic Injection Molding Medical Device Production Capacity Estimates Forecasts 20152026 1.5.3 Global Plastic Injection Molding Medical Device Production Estimates Forecasts 20152026 2 Market Competition Manufacturers 2.1 Global Plastic Injection Molding Medical Device Production Capacity Market Share Manufacturers 20152020 2.2 Global Plastic Injection Molding Medical Device Revenue Share Manufacturers 20152020 2.3 Market Share Company Type Tier 1, Tier 2 Tier 3 2.4 Global Plastic Injection Molding Medical Device Average Price Manufacturers 20152020 2.5 Manufacturers Plastic Injection Molding Medical Device Production Sites, Area Served, Product Types 2.6 Plastic Injection Molding Medical Device Market Competitive Situation Trends 2.6.1 Plastic Injection Molding Medical Device Market Concentration Rate 2.6.2 Global Top 3 Top 5 Players Market Share Revenue 2.6.3 Mergers Acquisitions, Expansion 3 Production Capacity Region 3.1 Global Production Capacity Plastic Injection Molding Medical Device Market Share Regions 20152020 3.2 Global Plastic Injection Molding Medical Device Revenue Market Share Regions 20152020 3.3 Global Plastic Injection Molding Medical Device Production Capacity, Revenue, Price Gross Margin 20152020 3.4 North America Plastic Injection Molding Medical Device Production 3.4.1 North America Plastic Injection Molding Medical Device Production Growth Rate 20152020 3.4.2 North America Plastic Injection Molding Medical Device Production Capacity, Revenue, Price Gross Margin 20152020 3.5 Europe Plastic Injection Molding Medical Device Production 3.5.1 Europe Plastic Injection Molding Medical Device Production Growth Rate 20152020 3.5.2 Europe Plastic Injection Molding Medical Device Production Capacity, Revenue, Price Gross Margin 20152020 3.6 China Plastic Injection Molding Medical Device Production 3.6.1 China Plastic Injection Molding Medical Device Production Growth Rate 20152020 3.6.2 China Plastic Injection Molding Medical Device Production Capacity, Revenue, Price Gross Margin 20152020 3.7 Japan Plastic Injection Molding Medical Device Production 3.7.1 Japan Plastic Injection Molding Medical Device Production Growth Rate 20152020 3.7.2 Japan Plastic Injection Molding Medical Device Production Capacity, Revenue, Price Gross Margin 20152020 4 Global Plastic Injection Molding Medical Device Consumption Regions 4.1 Global Plastic Injection Molding Medical Device Consumption Regions 4.1.1 Global Plastic Injection Molding Medical Device Consumption Region 4.1.2 Global Plastic Injection Molding Medical Device Consumption Market Share Region 5 Production, Revenue, Price Trend Type . And More Click Here For Detailed Table Of Contents Enquire purchasing report @ Reasons To Buy: Analyzing outlook market recent trends SWOT analysis Market dynamics scenario, growth opportunities market years come Market segmentation analysis including qualitative quantitative research incorporating impact economic noneconomic aspects Regional country level analysis integrating demand supply forces influencing growth market. Market value USD Million volume Units Million data segment subsegment Competitive landscape involving market share major players, new projects strategies adopted players past years Comprehensive company profiles covering product offerings, key financial information, recent developments, SWOT analysis, strategies employed major market players Purchase Report Full Access @ Us: Name: Jason George Email: [emailprotected] Call :USA: 1 408 757 0510 Organization: eSherpa Market Reports : eSherpa Market Reports credible source gaining market research reports exponentially accelerate business. We leading report resellers business world committed optimizing business. The reports provide based research covers magnitude factors technological evolution, economic shifts detailed study market segments. Click Here For More Reports Rotational Moulding Powders Market latest research report Growth 2024 Market Analysis, Size, Share, Trends, Key Vendors, Drivers Forecast network attached storage nas Market 2020 Research Contains Company Overview, Financial Overview, Key Findings, Segments End Use Industry Flatbed Trailers Market: Drivers Responsible reasing Market Share, Forecast 2025 Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Global 4,4Difluorobenzophenone Industry Market Size, Analytical Overview, Growth Factors, Demand, Trends And Forecast To 2026Next Next post: Flexible Glass Market Industry Outlook, Growth Prospects Key Opportunities Recent Posts Crude Oil Market Top Business Growing Strategies, Technological Innovation Emerging Trends Outlook To 2025 HallEffect Sensors Market reasing demand leading player, Comprehensive Analysis, Forecast 2025 Airbag Yarn Market Competitive Analysis, New Business Developments Top Companies: Ascend Performance Materials, Invista, Nexis Fibers, PHP Fibers, ShenMaPHP Pingdingshan Air Bag Yarn Manufacturing Co., Ltd, Akilen, More Digital Potentiometers Market reasing demand leading player, Comprehensive Analysis, Forecast 2025 Massive Report Aircraft Systems Market Growth Detail Analysis upcoming year 20202024 Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top | 2,020 | [
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https://www.com-unik.info/2020/02/12/matrix-ai-network-price-reaches-0-0347-on-exchanges-man.html | 2020-02-13T00:00:00 | en | Matrix AI Network Price Reaches $0.0347 on Exchanges (MAN) - Community Financial News |
Matrix AI Network Price Reaches $0.0347 on Exchanges (MAN) - Community Financial News
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Huobi Token (HT) Price Hits $4.86 on Major Exchanges
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Matrix AI Network Price Reaches $0.0347 on Exchanges (MAN)
Posted by Carolyn Dwyer on Feb 12th, 2020
Matrix AI Network (CURRENCY:MAN) traded 5.7% lower against the dollar during the one day period ending at 23:00 PM E.T. on February 12th. During the last seven days, Matrix AI Network has traded 1.3% higher against the dollar. Matrix AI Network has a market capitalization of $7.05 million and $907,738.00 worth of Matrix AI Network was traded on exchanges in the last day. One Matrix AI Network token can currently be purchased for about $0.0347 or 0.00000333 BTC on cryptocurrency exchanges including IDEX, HADAX, Gate.io and HitBTC.
Here’s how similar cryptocurrencies have performed during the last day:
Get Matrix AI Network alerts:
Litecoin (LTC) traded up 6.2% against the dollar and now trades at $82.93 or 0.00797641 BTC.
UNUS SED LEO (LEO) traded 1.3% lower against the dollar and now trades at $1.02 or 0.00009793 BTC.
Dogecoin (DOGE) traded up 1.9% against the dollar and now trades at $0.0032 or 0.00000031 BTC.
Bytom (BTM) traded up 5.9% against the dollar and now trades at $0.12 or 0.00001177 BTC.
Verge (XVG) traded 4.9% higher against the dollar and now trades at $0.0054 or 0.00000052 BTC.
NEXT (NET) traded down 4.6% against the dollar and now trades at $0.71 or 0.00006800 BTC.
Syscoin (SYS) traded 9.3% higher against the dollar and now trades at $0.0371 or 0.00000356 BTC.
TTC Protocol (TTC) traded 5.3% lower against the dollar and now trades at $0.0992 or 0.00001073 BTC.
Einsteinium (EMC2) traded 9.1% higher against the dollar and now trades at $0.0795 or 0.00000764 BTC.
Polymath (POLY) traded up 7.7% against the dollar and now trades at $0.0341 or 0.00000328 BTC.
Matrix AI Network Profile
Matrix AI Network is a proof-of-work (PoW) token that uses the Scrypt hashing algorithm. Its genesis date was June 26th, 2017. Matrix AI Network’s total supply is 636,449,729 tokens and its circulating supply is 203,301,714 tokens. Matrix AI Network’s official Twitter account is @peoplecoinnews and its Facebook page is accessible here. The Reddit community for Matrix AI Network is /r/MatrixAINetwork and the currency’s Github account can be viewed here. Matrix AI Network’s official website is www.matrix.io.
Buying and Selling Matrix AI Network
Matrix AI Network can be traded on these cryptocurrency exchanges: HitBTC, DDEX, Kucoin, IDEX, HADAX, Gate.io, CoinEgg, Ethfinex and LBank. It is usually not presently possible to purchase alternative cryptocurrencies such as Matrix AI Network directly using US dollars. Investors seeking to trade Matrix AI Network should first purchase Ethereum or Bitcoin using an exchange that deals in US dollars such as GDAX, Gemini or Coinbase. Investors can then use their newly-acquired Ethereum or Bitcoin to purchase Matrix AI Network using one of the aforementioned exchanges.
Receive News & Updates for Matrix AI Network Daily - Enter your email address below to receive a concise daily summary of the latest news and updates for Matrix AI Network and related cryptocurrencies with MarketBeat.com's FREE CryptoBeat newsletter.
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| Matrix AI Network Price Reaches $0.0347 on Exchanges (MAN) | Matrix AI Network Price Reaches 0.0347 Exchanges MAN Community Financial News Headlines Us Finance News World U.S. Sports Technology Education Daily Ratings News Matrix AI Network Complete form receive latest headlines analysts recommendations Matrix AI Network free daily email newsletter: Follow Top Stories Huobi Token HT Price Hits 4.86 Major Exchanges Matrix AI Network Price Reaches 0.0347 Exchanges MAN Civitas CIV Tops 1Day Volume 44.00 Zealium One Day Trading Volume Hits 13.00 NZL Remme REM Tops 1Day Volume 202,334.00 HR Real Estate Investment Trust TSE:HR.UN Receives Average Rating Hold Analysts 0.20 Earnings Per Share Expected SpartanNash Co NASDAQ:SPTN This Quarter Autoweb NASDAQ:AUTO Receives Consensus Recommendation Hold Brokerages 258.72 Million Sales Expected eHealth, . NASDAQ:EHTH This Quarter Acadia Realty Trust NYSE:AKR Updates FY20 Earnings Guidance HENKEL AG COS OTCMKTS:HENKY Stock Rating Upgraded Zacks Investment Research Kinross Gold TSE:K Stock Price Passes Above Two Hundred Day Moving Average 6.18 TVA Group TSE:TVA.B Stock Passes Above Two Hundred Day Moving Average 1.74 SUEZADR OTCMKTS:SZEVY Stock Price Crosses Above Two Hundred Day Moving Average 7.56 Calamos Global Dynamic ome Fund NASDAQ:CHW Share Price Crosses Above 200Day Moving Average 8.24 Endesa OTCMKTS:ELEZF Stock Passes Above 200 Day Moving Average 26.38 Guangzhou Automobile Group OTCMKTS:GWLLF Stock Price Up 4.3 China Natural Gas OTCMKTS:CHNGQ Stock Price Passes Above 200Day Moving Average 0.01 Dogness International Corp NASDAQ:DOGZ Short Interest Update Short Interest Charles Colvard, Ltd. NASDAQ:CTHR Drops By 36.9 Matrix AI Network Price Reaches 0.0347 Exchanges MAN Posted Carolyn Dwyer Feb 12th, 2020 Matrix AI Network CURRENCY:MAN traded 5.7 lower dollar day period ending 23:00 PM E.T. February 12th. During seven days, Matrix AI Network traded 1.3 higher dollar. Matrix AI Network market capitalization 7.05 million 907,738.00 worth Matrix AI Network traded exchanges day. One Matrix AI Network token currently purchased 0.0347 0.00000333 BTC cryptocurrency exchanges including IDEX, HADAX, HitBTC. Heres similar cryptocurrencies performed day: Get Matrix AI Network alerts: Litecoin LTC traded 6.2 dollar trades 82.93 0.00797641 BTC. UNUS SED LEO LEO traded 1.3 lower dollar trades 1.02 0.00009793 BTC. Dogecoin DOGE traded 1.9 dollar trades 0.0032 0.00000031 BTC. Bytom BTM traded 5.9 dollar trades 0.12 0.00001177 BTC. Verge XVG traded 4.9 higher dollar trades 0.0054 0.00000052 BTC. NEXT NET traded 4.6 dollar trades 0.71 0.00006800 BTC. Syscoin SYS traded 9.3 higher dollar trades 0.0371 0.00000356 BTC. TTC Protocol TTC traded 5.3 lower dollar trades 0.0992 0.00001073 BTC. Einsteinium EMC2 traded 9.1 higher dollar trades 0.0795 0.00000764 BTC. Polymath POLY traded 7.7 dollar trades 0.0341 0.00000328 BTC. Matrix AI Network Profile Matrix AI Network proofofwork PoW token uses Scrypt hashing algorithm. Its genesis date June 26th, 2017. Matrix AI Networks total supply 636,449,729 tokens circulating supply 203,301,714 tokens. Matrix AI Networks official Twitter account Facebook accessible here. The Reddit community Matrix AI Network rMatrixAINetwork currencys Github account viewed here. Matrix AI Networks official website Buying Selling Matrix AI Network Matrix AI Network traded cryptocurrency exchanges: HitBTC, DDEX, Kucoin, IDEX, HADAX, , CoinEgg, Ethfinex LBank. It usually presently possible purchase alternative cryptocurrencies Matrix AI Network directly US dollars. Investors seeking trade Matrix AI Network purchase Ethereum Bitcoin exchange deals US dollars GDAX, Gemini Coinbase. Investors use newlyacquired Ethereum Bitcoin purchase Matrix AI Network aforementioned exchanges. Receive News Updates Matrix AI Network Daily Enter email address receive concise daily summary latest news updates Matrix AI Network related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSCivitas CIV Tops 1Day Volume 44.00 Latest News Huobi Token Price Hits 4.86 Major Exchanges Matrix AI Network Price Reaches 0.0347 Exchanges Civitas Tops 1Day Volume 44.00 Zealium One Day Trading Volume Hits 13.00 Remme Tops 1Day Volume 202,334.00 HR Real Estate Investment Trust Receives Average Rating Hold Analysts Comments Headlines Us 20132020 Community Financial News | 2,020 | [
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https://www.forbes.com/sites/tomdavenport/2020/07/30/machine-learning-and-organizational-change-at-southern-california-edison/ | 2020-07-30T00:00:00 | en | Machine Learning And Organizational Change At Southern California Edison | Machine Learning And Organizational Change At Southern California EdisonBillionairesAll BillionairesWorld's BillionairesForbes 400America's Richest Self-Made WomenChina's RichestIndia's RichestIndonesia's RichestKorea's RichestThailand's RichestJapan's RichestAustralia's RichestTaiwan's RichestSingapore's RichestPhilippines' RichestHong Kong's RichestMalaysia's RichestMoney & Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCloudCloud 100Consumer TechCybersecurityEnterprise TechGamesGreen TechHealthcareIBM Security BrandVoice | Paid ProgramJapan BrandVoice | Paid ProgramJumio BrandVoice | Paid ProgramOracle BrandVoice | Paid ProgramSAP BrandVoice | Paid ProgramScienceServiceNow BrandVoice | Paid ProgramSmartsheet BrandVoice | Paid ProgramSocial MediaT-Mobile For Business BrandVoice | Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCIO NetworkCMO NetworkDeloitte BrandVoice | Paid ProgramDiversity & InclusionEducationForbesWomenGoogle Cloud BrandVoice | Paid ProgramLeadership StrategyUnder 30Working RemoteMoneyAll MoneyBanking & InsuranceCrypto & BlockchainETFs & Mutual FundsFintechHedge Funds & Private EquityInvestingMarketsPersonal FinancePremium Investing NewslettersRetirementTaxesTop Advisor | SHOOKWealth ManagementBusinessAll BusinessAerospace & DefenseEnergyFood & DrinkHollywood & EntertainmentKPMG BrandVoice | Paid ProgramManufacturingMediaMitsubishi Heavy Industries BrandVoice | Paid ProgramPolicyReal EstateRetailSportsMoneyTransportationSmall BusinessAll Small BusinessEntrepreneursFranchisesSmall Business StrategyLifestyleAll LifestyleArtsBoats & PlanesCars & BikesDiningForbesLifeForbes Travel GuideSpiritsStyle & BeautyTravelVicesWatchesListsAll ListsAdvisorAll AdvisorThe Best Credit Cards Of 2020Best Personal LoansBest Savings AccountsBest Balance Transfer Credit CardsBest Student LoansBest Checking AccountsBest 0% APR Credit CardsAuto Loan CalculatorBest CD RatesBest Cash Back Credit CardsPersonal Loan CalculatorBest Online Banks Best Rewards Credit CardsBest Car Insurance RatesSecond Stimulus Check Calculator ($40K)Best Business Credit CardsBest Travel Insurance CompaniesSecond Stimulus Check Calculator (HEROES)Browse All Credit CardsBest Life Insurance CompaniesSecond Stimulus Check Calculator Proposals WheelsAll WheelsFeatured30 Under 30 2020DNA Of SuccessForbes Analytics Plus With Teradata | Paid ProgramHitachi Insights | Paid ProgramRoostify Insights | Paid ProgramServiceNow BrandVoiceTableau BrandVoice | Paid ProgramThePowerMBA BrandVoice | Paid ProgramThe 2020 World's Most Valuable BrandsUnder 30 Detroit Hackathon: Accelerating ChangeVoices Of SuccessMoreForbes Daily Cover StoriesForbes Editors' PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue of ForbesReport a Security IssueSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints & Permissions© 2020 Forbes Media LLC. All Rights ReservedBETAThis is a BETA experience. You may opt-out by clicking hereEdit Story|Jul 30, 2020,10:09am EDTMachine Learning And Organizational Change At Southern California EdisonTom DavenportContributorOpinions expressed by Forbes Contributors are their own.Enterprise & CloudShare to FacebookShare to TwitterShare to Linkedin
An electrical lineman for Southern California Edison works on replacing a transformer as a whole ... [+] block is rewired. Long Beach, California. April 2014.
Moment Editorial/Getty Images
Analytics are typically viewed as an exercise in data, software and hardware. However, if the analytics are intended to influence decisions and actions, they are also an exercise in organizational change. Companies that don’t view them as such are likely not to get much value from their analytics projects.
One organization that is pursuing analytics-based organizational change is Southern California Edison (SCE). One key focus of their activity is safety predictive analytics—understanding and predicting high risk work activities by the company’s field employees that might lead to a life threatening and/or life altering incident causing injury or death. Safety issues, as you might expect, are fraught with organizational peril—politics, lack of transparency, labor relations, and so forth. Even reporting a close call runs counter to typical organizational cultures. These organizational perils are a concern to SCE as well, but the company has created an approach to address them. SCE hasn’t completely mastered safety predictive analytics and the requisite organizational changes, but it’s making great progress.
A Structure for Producing Analytical Change
Key to the success of the SCE approach is the structure of the analytical team that is addressing safety analytics. It is small, experienced, and integrated. Two of the key members of the team are Jeff Moore and Rosemary Perez, and they make a dynamic combination. Moore is a data scientist who works in the IT function; Perez works in Safety, Security, and Business Resiliency, and is a “Predictive Analytics Advisor.” In effect, Moore handles all the analytics and modeling activities on the project, and Perez, who has many years of experience in the field at SCE, leads the change management activities.
Recommended For YouThe Future Of Work Now: Natalie Munroe And The Transformation Of Legal Service DeliveryIntegrating Customer Support Call Centers With Artificial IntelligenceWhy Customer Experience Prioritization Matters And How To Get StartedSteps to manage organizational change started at the beginning of the project and have persisted throughout it. One of the first objectives was to explain the model and variable insights to management. Outlining the range of possible outcomes allowed Perez and Moore to gain the support needed for a company wide deployment. Since Perez had relationships and trust in the districts, she could introduce the project concept to field management and staff without the concern about “Why is Corporate here?”. Perez noted that it’s important to be transparent when speaking with the teams. That trust has resulted in the district staff’s willingness to listen and share their ideas on how best to deploy the model, to address missing variables and data, and to drive higher levels of adoption.
The team took all the time needed to get stakeholders engaged. Moore came into the project in the summer of 2018, and he was able to get a machine learning model up and running in a month or so, but presenting it, socializing it, and gaining buy-in for it took far longer. Moore and Perez met with executives of SCE in November and December of 2018. Within days of these meetings the safety model analytics project became a 2019 corporate goal for SCE. Safety was the company’s number one priority, and it was willing to try innovative ideas to move it forward. For such a small team to have their work made into a corporate goal is unusual at SCE and elsewhere.
The Risk Model and its Findings
SCE now has an analytical risk-based framework, and risk scores for specific types of work activities and the context of the work. The model draws from a large data warehouse at SCE with work order data, structure characteristics, injury records, experience and training, and planning detail. All those factors were not previously linked, and there was—as is often the case with analytics—considerable data engineering necessary to pull together and relate the data.
The machine learning model scores activities that teams in the field perform, like setting a new pole or replacing an insulator. Each activity may be more or less dangerous depending on the time of year, day of the week, weather, crew size and composition, and so forth. Replacing a pole, for example, may be only a moderate risk task in itself, but when done on the side of a hill in the rain with a crane it becomes very high risk. Instead of generic safety messages to employees, SCE can now get much more specific by describing the risk of particular activities they perform on the job in a particular context.
As the model learns it will recommend specific approaches to reduce the risk of a job, like altering the crew mix or crew size, requiring additional management presence, using specific equipment or rigging to perform the work, or creating a longer power outage in order to do the job more slowly. The latter recommendation runs counter to the culture of not inconveniencing customers, but if the model specifically recommends it, then the teams will discuss the contributing factors as well as their years of experience to mitigate the risk before executing the work.
The project has led to several more general findings, which are of greatest interest to SCE executives. For example, management has long been interested in using data to understand changing safety risk profiles of the field teams over time as a result of increasing/decreasing workloads or as weather patterns change. While the predictive model considers more than 200 variables, the findings from the model have been summarized into the top fifteen distinct drivers of serious injury and fatality. Some shifting of variables is expected over time, but there has been great interest in better understanding the initial set of risk factors.
Deploying the Model and Needed Organizational Changes
Moore and Perez are in the early stages of deploying the model; they’ve rolled it out to six of 35 districts thus far. Each district has a unique personality, and they don’t want cookie-cutter answers on how to deploy in their district.
Moore, whose primary role was to create the model, said he has realized that safety analytics are not just about a model. “I started out thinking it was about an algorithm, but I realized many other factors were involved in improving safety.” Moore said that he gets some pressure to move on to analytics in other parts of the business, but “in order to see your models come to life you have to go through this kind of process.” And everyone at SCE believes the safety work is critical.
Perez, whose primary focus is change management, listed some of the organizational changes in deployment. “There might be training issues—not only on analytics, but also communication, leadership and ownership. There might be process concerns—how we plan and communicate work. There may be technology concerns in using the system.”
Perez also says the process of working with a district is critical. “You can’t just walk into a district and disrupt their work flow for no reason,” she says. “They want to know your purpose and your objective. We try to connect, show transparency, and build trust that we are here to help, that we are here to observe how they mitigate risk, to share our findings, and to see how the findings might be integrated into their work practices. We hope they will help us understand the complexity they face every day.”
Both team members say they learn something every time they visit a district. Moore notes, “You can only see the data you can see in the data warehouse—time sheets, work orders, etc. But when you talk to the people who do the work, you learn a lot about how the data is created and applied. With each visit I understand the drivers better and the complexity of the work. I can also speak the language better with each district visit, and I understand the process and the equipment better as well.”
With the findings from the model, Moore and Perez are beginning to work with another partner at SCE—the HR organization. It is responsible for defining work practices, training needs, standard operating procedures, and job aids. Each of these is potentially influenced by findings about safety risks, so the goal is to incorporate analytical results into the practices and procedures.
The team is already working to modify the model to incorporate new factors—one of which, not surprisingly given the situation in California, involves the risk of wildfires. Moore and Perez are also trying to create more integration of the risk scores with the work order system. They also plan to try to incorporate the risk model into other SCE business functions like Engineering, which might be able to lower the risk in the planning and construction of the electric grid. All in all, using data and analytics to improve safety is a time-consuming and multifaceted process, but what could be more important than reducing injury and fatality among SCE employees and work crews?Follow me on Twitter or LinkedIn. Check out my website or some of my other work here. Tom DavenportI'm the President's Distinguished Professor of IT and Management of Babson College, a Digital Fellow at the MIT Initiative on the Digital Economy, and a Senior Advisor to… Read MoreI'm the President's Distinguished Professor of IT and Management of Babson College, a Digital Fellow at the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte's Analytics and Cognitive practice. I've been a professor at several universities (Harvard, University of Chicago, University of Texas) and a consultant or partner at several leading consulting firms (McKinsey, EY, Accenture). I teach, research, write, and speak about the impacts of information technology on people and organizations. My specific enthusiasms over the years have included business process reengineering, ERP, knowledge management, analytics, and AI. I've had many thoughts about these topics, and I've published most of them. Read LessPrintSite FeedbackTipsCorrectionsReprints & PermissionsTermsPrivacy© 2020 Forbes Media LLC. All Rights Reserved.Report a Security IssueAdChoices | Machine Learning And Organizational Change At Southern California Edison | Machine Learning And Organizational Change At Southern California EdisonBillionairesAll BillionairesWorlds BillionairesForbes 400Americas Richest SelfMade WomenChinas RichestIndias RichestIndonesias RichestKoreas RichestThailands RichestJapans RichestAustralias RichestTaiwans RichestSingapores RichestPhilippines RichestHong Kongs RichestMalaysias RichestMoney Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCloudCloud 100Consumer TechCybersecurityEnterprise TechGamesGreen TechHealthcareIBM Security BrandVoice Paid ProgramJapan BrandVoice Paid ProgramJumio BrandVoice Paid ProgramOracle BrandVoice Paid ProgramSAP BrandVoice Paid ProgramScienceServiceNow BrandVoice Paid ProgramSmartsheet BrandVoice Paid ProgramSocial MediaTMobile For Business BrandVoice Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCIO NetworkCMO NetworkDeloitte BrandVoice Paid ProgramDiversity lusionEducationForbesWomenGoogle Cloud BrandVoice Paid ProgramLeadership StrategyUnder 30Working RemoteMoneyAll MoneyBanking InsuranceCrypto BlockchainETFs Mutual FundsFintechHedge Funds Private EquityInvestingMarketsPersonal FinancePremium Investing NewslettersRetirementTaxesTop Advisor SHOOKWealth ManagementBusinessAll BusinessAerospace DefenseEnergyFood DrinkHollywood EntertainmentKPMG BrandVoice Paid ProgramManufacturingMediaMitsubishi Heavy Industries BrandVoice Paid ProgramPolicyReal EstateRetailSportsMoneyTransportationSmall BusinessAll Small BusinessEntrepreneursFranchisesSmall Business StrategyLifestyleAll LifestyleArtsBoats PlanesCars BikesDiningForbesLifeForbes Travel GuideSpiritsStyle BeautyTravelVicesWatchesListsAll ListsAdvisorAll AdvisorThe Best Credit Cards Of 2020Best Personal LoansBest Savings AccountsBest Balance Transfer Credit CardsBest Student LoansBest Checking AccountsBest 0 APR Credit CardsAuto Loan CalculatorBest CD RatesBest Cash Back Credit CardsPersonal Loan CalculatorBest Online Banks Best Rewards Credit CardsBest Car Insurance RatesSecond Stimulus Check Calculator 40KBest Business Credit CardsBest Travel Insurance CompaniesSecond Stimulus Check Calculator HEROESBrowse All Credit CardsBest Life Insurance CompaniesSecond Stimulus Check Calculator Proposals WheelsAll WheelsFeatured30 Under 30 2020DNA Of SuccessForbes Analytics Plus With Teradata Paid ProgramHitachi Insights Paid ProgramRoostify Insights Paid ProgramServiceNow BrandVoiceTableau BrandVoice Paid ProgramThePowerMBA BrandVoice Paid ProgramThe 2020 Worlds Most Valuable BrandsUnder 30 Detroit Hackathon: Accelerating ChangeVoices Of SuccessMoreForbes Daily Cover StoriesForbes Editors PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue ForbesReport Security IssueSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints Permissions 2020 Forbes Media LLC. BETAThis BETA experience. You optout byclicking hereEdit StoryJul 30, 2020,10:09am EDTMachine Learning And Organizational Change At Southern California EdisonTom DavenportContributorOpinions expressed Forbes Contributors own.Enterprise CloudShare FacebookShare TwitterShare Linkedin An electrical lineman Southern California Edison works replacing transformer ... [] block rewired. Long Beach, California. April 2014. Moment EditorialGetty Images Analytics typically viewed exercise data, software hardware. However, analytics intended influence decisions actions, exercise organizational change. Companies dont view likely value analytics projects. One organization pursuing analyticsbased organizational change Southern California Edison SCE. One key focus activity safety predictive analyticsunderstanding predicting high risk work activities companys field employees lead life threatening andor life altering incident causing injury death. Safety issues, expect, fraught organizational perilpolitics, lack transparency, labor relations, forth. Even reporting close runs counter typical organizational cultures. These organizational perils concern SCE well, company created approach address them. SCE completely mastered safety predictive analytics requisite organizational changes, making great progress. A Structure Producing Analytical Change Key success SCE approach structure analytical team addressing safety analytics. It small, experienced, integrated. Two key members team Jeff Moore Rosemary Perez, dynamic combination. Moore data scientist works IT function; Perez works Safety, Security, Business Resiliency, Predictive Analytics Advisor. In effect, Moore handles analytics modeling activities project, Perez, years experience field SCE, leads change management activities. Recommended For YouThe Future Of Work Now: Natalie Munroe And The Transformation Of Legal Service DeliveryIntegrating Customer Support Call Centers With Artificial IntelligenceWhy Customer Experience Prioritization Matters And How To Get StartedSteps manage organizational change started beginning project persisted it. One objectives explain model variable insights management. Outlining range possible outcomes allowed Perez Moore gain support needed company wide deployment. Since Perez relationships trust districts, introduce project concept field management staff concern Why Corporate here?. Perez noted important transparent speaking teams. That trust resulted district staffs willingness listen share ideas best deploy model, address missing variables data, drive higher levels adoption. The team took time needed stakeholders engaged. Moore came project summer 2018, able machine learning model running month so, presenting it, socializing it, gaining buyin took far longer. Moore Perez met executives SCE November December 2018. Within days meetings safety model analytics project 2019 corporate goal SCE. Safety companys number priority, willing try innovative ideas forward. For small team work corporate goal unusual SCE elsewhere. The Risk Model Findings SCE analytical riskbased framework, risk scores specific types work activities context work. The model draws large data warehouse SCE work order data, structure characteristics, injury records, experience training, planning detail. All factors previously linked, wasas case analyticsconsiderable data engineering necessary pull relate data. The machine learning model scores activities teams field perform, like setting new pole replacing insulator. Each activity dangerous depending time year, day week, weather, crew size composition, forth. Replacing pole, example, moderate risk task itself, hill rain crane high risk. Instead generic safety messages employees, SCE specific describing risk particular activities perform job particular context. As model learns recommend specific approaches reduce risk job, like altering crew mix crew size, requiring additional management presence, specific equipment rigging perform work, creating longer power outage order job slowly. The recommendation runs counter culture inconveniencing customers, model specifically recommends it, teams discuss contributing factors years experience mitigate risk executing work. The project led general findings, greatest SCE executives. For example, management long interested data understand changing safety risk profiles field teams time result increasingdecreasing workloads weather patterns change. While predictive model considers 200 variables, findings model summarized distinct drivers injury fatality. Some shifting variables expected time, great better understanding initial set risk factors. Deploying Model Needed Organizational Changes Moore Perez early stages deploying model; theyve rolled 35 districts far. Each district unique personality, dont want cookiecutter answers deploy district. Moore, primary role create model, said realized safety analytics model. I started thinking algorithm, I realized factors involved improving safety. Moore said gets pressure analytics parts business, order models come life kind process. And SCE believes safety work critical. Perez, primary focus change management, listed organizational changes deployment. There training issuesnot analytics, communication, leadership ownership. There process concernshow plan communicate work. There technology concerns system. Perez says process working district critical. You walk district disrupt work flow reason, says. They want know purpose objective. We try connect, transparency, build trust help, observe mitigate risk, share findings, findings integrated work practices. We hope help understand complexity face day. Both team members learn time visit district. Moore notes, You data data warehousetime sheets, work orders, etc. But talk people work, learn lot data created applied. With visit I understand drivers better complexity work. I speak language better district visit, I understand process equipment better well. With findings model, Moore Perez beginning work partner SCEthe HR organization. It responsible defining work practices, training needs, standard operating procedures, job aids. Each potentially influenced findings safety risks, goal incorporate analytical results practices procedures. The team working modify model incorporate new factorsone which, surprisingly given situation California, involves risk wildfires. Moore Perez trying create integration risk scores work order system. They plan try incorporate risk model SCE business functions like Engineering, able lower risk planning construction electric grid. All all, data analytics improve safety timeconsuming multifaceted process, important reducing injury fatality SCE employees work crews?Follow onTwitterorLinkedIn.Check outmywebsiteorsome workhere.Tom DavenportIm Presidents Distinguished Professor IT Management Babson College, Digital Fellow MIT Initiative Digital Economy, Senior Advisor toRead MoreIm Presidents Distinguished Professor IT Management Babson College, Digital Fellow MIT Initiative Digital Economy, Senior Advisor Deloittes Analytics Cognitive practice. Ive professor universities Harvard, University Chicago, University Texas consultant partner leading consulting firms McKinsey, EY, Accenture. I teach, research, write, speak impacts information technology people organizations. My specific enthusiasms years included business process reengineering, ERP, knowledge management, analytics, AI. Ive thoughts topics, Ive published them.Read LessPrintSite FeedbackTipsCorrectionsReprints PermissionsTermsPrivacy 2020 Forbes Media LLC. .Report Security IssueAdChoices | 2,020 | [
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https://www.zacks.com/stock/news/870526/microsoft-msft-invests-in-ai-for-health-to-fight-covid19 | 2020-04-14T00:00:00 | en | Microsoft (MSFT) Invests in AI for Health to Fight COVID-19 - April 14, 2020 - Zacks.com |
Microsoft (MSFT) Invests in AI for Health to Fight COVID-19 - April 14, 2020 - Zacks.com
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Microsoft (MSFT) Invests in AI for Health to Fight COVID-19
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April 14, 2020
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Microsoft (MSFT - Free Report) recently announced that it is dedicating $20 million to its AI for Health initiative in an effort to combat the coronavirus pandemic.Launched on Jan 29, the AI for Health initiative was started to empower medical workers and researchers with AI as well as data science capabilities to improve healthcare services around the world.The initiative will now aid COVID-19 efforts in five key areas, which include data and insights, treatment and diagnostics, resource allocation, spreading accurate information as well as scientific research.This investment is likely to aid government authorities and researchers in gaining a deeper understanding of the pandemic and accelerate development of a cure or a potential vaccine.The initiative is expected to generate goodwill around Microsoft’s brand and instill investors’ optimism. Notably, the stock has returned 4.9% year to date compared with the industry’s growth of 0.1%.Microsoft Corporation Price and Consensus Microsoft Corporation price-consensus-chart | Microsoft Corporation Quote Healthcare Initiatives Hold PromiseMicrosoft’s investment in AI for health is a part of its’ broader focus on innovating the healthcare system by making use of emerging technologies to fight the outbreak.Notably, Microsoft collaborated with various nonprofit organizations and private companies to roll out the Protecting People Everywhere initiative via the HealthEquip app. The app is an attempt to combat the shortage of personal protective equipment (PPE) by matching PPE donors with potential recipients.Moreover, the company expanded its partnership with Adaptive Biotechnologies to aid public health officials as well as researchers to access and track data pertaining to COVID-19 patient immune responses. The open source dataset will be deployed on Microsoft’s cloud computing platform, Azure.Microsoft also rolled out the COVID-19 Open Research Dataset (CORD-19), which contains scientific articles about the coronavirus and aims to improve the efficiency of coronavirus related research.Additionally, the company launched an Azure powered healthcare bot service for the CDC foundation and other healthcare organizations. The bot will aid them in screening potential COVID-19 patients and recommend the best possible course of action.Other efforts in healthcare domain include collaboration with Nuance Communications to develop conversational AI and ambient intelligence technologies to transform doctor-patient interaction. Microsoft has also partnered with Novartis to speed up discovery and development of pharmaceutical drugs by using data analytics and AI.Further, the tech giant has inked a deal with Adobe and Change Healthcare to improve patient experiences by leveraging its cloud and application capabilities.Thus, the company’s robust healthcare capabilities has well positioned it to benefit from the ongoing digital overhaul taking place in the healthcare industry, triggered by the coronavirus crisis.Others Companies Join the FrayThis latest investment by Microsoft comes at a time when all major tech companies are attempting to revolutionize the healthcare system by leveraging their AI, machine learning (ML) and data analytics capabilities.Notably, Amazon’s (AMZN - Free Report) cloud computing arm, Amazon Web Services (AWS), recently rolled out a massive COVID-19 related dataset that contains curated information on the spread and characteristics of the virus to aid researchers in their fight against the pandemic. It also invested $20 million in AWS Diagnostic Development Initiative to speed up the development of faster COVID-19 testing.Recently, Alphabet’s (GOOGL - Free Report) DeepMind division released a model that predicts the coronavirus protein structure to aid researchers in developing potential treatments. Moreover, the company’s healthcare division – Verily – launched a COVID-19 screening and testing website under Project Baseline.Further, Intel (INTC - Free Report) invested $50 million in a pandemic response technology initiative, which aims to advance diagnosis, treatment and vaccine development by using AI, HPC computing and edge-to-cloud service delivery.Zacks RankMicrosoft currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.The Hottest Tech Mega-Trend of All Last year, it generated $24 billion in global revenues. By 2020, it's predicted to blast through the roof to $77.6 billion. Famed investor Mark Cuban says it will produce ""the world's first trillionaires,"" but that should still leave plenty of money for regular investors who make the right trades early.See Zacks' 3 Best Stocks to Play This Trend >>
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Join Member Keep Me Signed In What Remember Me do? Dont Know Your Password? Close window Help You directed ZacksTrade, division LBMZ Securities licensed brokerdealer. ZacksTrade separate companies. The web link companies solicitation offer invest particular security type security. ZacksTrade endorse adopt particular investment strategy, analyst opinionratingreport approach evaluating indiv idual securities. If wish ZacksTrade, click OK. If not, click Cancel. OK Cancel Back Image: Bigstock Microsoft MSFT Invests AI Health Fight COVID19 Zacks Equity Research April 14, 2020 MSFT AMZN INTC GOOGL Trades 1 You follow Analyst Blog edit You follow Zacks Equity Research edit What like follow? Zacks Equity Research Analyst Blog Cancel Read MoreHide Full Article Microsoft MSFT Free Report recently announced dedicating 20 million AI Health initiative effort combat coronavirus pandemic.Launched Jan 29, AI Health initiative started empower medical workers researchers AI data science capabilities improve healthcare services world.The initiative aid COVID19 efforts key areas, include data insights, treatment diagnostics, resource allocation, spreading accurate information scientific research.This investment likely aid government authorities researchers gaining deeper understanding pandemic accelerate development cure potential vaccine.The initiative expected generate goodwill Microsofts brand instill investors optimism. Notably, stock returned 4.9 year date compared industrys growth 0.1.Microsoft Corporation Price Consensus Microsoft Corporation priceconsensuschart Microsoft Corporation QuoteHealthcare Initiatives Hold PromiseMicrosofts investment AI health broader focus innovating healthcare making use emerging technologies fight outbreak.Notably, Microsoft collaborated nonprofit organizations private companies roll Protecting People Everywhere initiative HealthEquip app. The app attempt combat shortage personal protective equipment PPE matching PPE donors potential recipients.Moreover, company expanded partnership Adaptive Biotechnologies aid public health officials researchers access track data pertaining COVID19 patient immune responses. The open source dataset deployed Microsofts cloud computing platform, Azure.Microsoft rolled COVID19 Open Research Dataset CORD19, contains scientific articles coronavirus aims improve efficiency coronavirus related research.Additionally, company launched Azure powered healthcare bot service CDC foundation healthcare organizations. The bot aid screening potential COVID19 patients recommend best possible course action.Other efforts healthcare domain include collaboration Nuance Communications develop conversational AI ambient intelligence technologies transform doctorpatient interaction. Microsoft partnered Novartis speed discovery development pharmaceutical drugs data analytics AI.Further, tech giant inked deal Adobe Change Healthcare improve patient experiences leveraging cloud application capabilities.Thus, companys robust healthcare capabilities positioned benefit ongoing digital overhaul taking place healthcare industry, triggered coronavirus crisis.Others Companies Join FrayThis latest investment Microsoft comes time major tech companies attempting revolutionize healthcare leveraging AI, machine learning ML data analytics capabilities.Notably, Amazons AMZN Free Report cloud computing arm, Amazon Web Services AWS, recently rolled massive COVID19 related dataset contains curated information spread characteristics virus aid researchers fight pandemic. It invested 20 million AWS Diagnostic Development Initiative speed development faster COVID19 testing.Recently, Alphabets GOOGL Free Report DeepMind division released model predicts coronavirus protein structure aid researchers developing potential treatments. Moreover, companys healthcare division Verily launched COVID19 screening testing website Project Baseline.Further, Intel INTC Free Report invested 50 million pandemic response technology initiative, aims advance diagnosis, treatment vaccine development AI, HPC computing edgetocloud service delivery.Zacks RankMicrosoft currently carries Zacks Rank 3 Hold. You complete list todays Zacks 1 Rank Strong Buy stocks here.The Hottest Tech MegaTrend All Last year, generated 24 billion global revenues. By 2020, predicted blast roof 77.6 billion. Famed investor Mark Cuban says produce worlds trillionaires, leave plenty money regular investors right trades early.See Zacks 3 Best Stocks Play This Trend >> InDepth Zacks Research Tickers Above Normally 25 click receive report FREE: Microsoft Corporation MSFT free report >>, . AMZN free report >>Intel Corporation INTC free report >>Alphabet . GOOGL free report >> Published techstocks Zacks 7 Best Strong Buy Stocks April, 2020 Free Research Readers Experts chosen 7 stocks 220 Zacks Rank 1 Strong Buys highest potential increase price quickly amid global health crisis. For 32 years, Strong Buy list averaged returns twice market. See 7 best stocks now. No cost, obligation buy ever. ?? Close This Panel X Up Next MEDNAX Plunges More Than 54 YTD: Will Stock Rebound? Most Read 10 Stocks Leading Rally SP 500 ETF Key Successful Investing? More Patience Earnings Scorecard Analyst Reports Apple, Amazon Others New Strong Buy Stocks April 14th 5 Stocks Win Big This Brutal Q1 Earnings Season Quick Links Services Account Types Premium Services Zacks Rank Research Personal Finance Commentary Education Zacks Advisor Tools My Account Manage Account Update Profile Subscriptions Preferences Password Help Upgrade Premium Resources Help About Zacks Disclosure Do Not Sell My Personal Information Performance Site Map Podcasts Earnings Calendar Client Support Us Share Feedback Media Careers Advertise Facebook Twitter Linkedin You Tube Zacks Mobile App Zacks Research Reported On: Yahoo MSN Marketwatch Nasdaq Forbes Morningstar This authorized, sponsored, approved endorsed companies represented herein. Each company logos represented trademarks Verizon Media; Microsoft Corporation; Nasdaq, .; Dow Jones Company; Forbes Media, LLC; Investors Business Daily, .; Morningstar, . 2020 Zacks Investment Research 10 S Riverside Plaza Suite 1600 Chicago, IL 60606 At center strong commitment independent research sharing profitable discoveries investors. This dedication giving investors trading advantage led creation proven Zacks Rank stockrating system. Since 1988 doubled SP 500 average gain 24.13 year. These returns cover period January1, 1988 March 2, 2020. Zacks Rank stockrating returns computed monthly based beginning month end month Zacks Rank stock prices plus dividends received particular month. A simple, equallyweighted average return Zacks Rank stocks calculated determine monthly return. The monthly returns compounded arrive annual return. Only Zacks Rank stocks included Zacks hypothetical portfolios beginning month included return calculations. Zacks Ranks stocks can, do, change month. Certain Zacks Rank stocks monthend price available, pricing information collected, certain reasons excluded return calculations. Visit performance information performance numbers displayed above. Visit data content mobile app website. Real time prices BATS. Delayed quotes Sungard. NYSE AMEX data 20 minutes delayed. NASDAQ data 15 minutes delayed. We use cookies understand use site improve experience. This includes personalizing content advertising. To learn more, click here. By continuing use site, accept use cookies, revised Service. I accept X Due inactivity, besigned approximately: CLICK TO CONTINUE WORKING | 2,020 | [
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https://hackernoon.com/data-engineer-interview-questions-and-answers-2020-edition-n8zg3yi4 | 2020-07-10T00:00:00 | en | Data Engineer Interview Questions And Answers: 2020 Edition | Hacker Noon | Data Engineer Interview Questions And Answers: 2020 Edition | Hacker NoonStart WritingStart WritingReadTechAIAutomationBusinessDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning of LifeRoboticsSelf-Driving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop Stories0Write0LearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero to MasteryData ScienceData science course 2020Deep learning A-ZMachine Learning, Data Science, Deep Learning PythonPython for Machine LearningStatistics for Data Science and Business AnalysisLanguagesHTML & CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words or LessLinkedInOn the GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit a Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd by TagBook a MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200+ Brands Publishing HereReadTechAIAutomationBusinessDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning of LifeRoboticsSelf-Driving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop StoriesWriteLearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero to MasteryData ScienceData science course 2020Deep learning A-ZMachine Learning, Data Science, Deep Learning PythonPython for Machine LearningStatistics for Data Science and Business AnalysisLanguagesHTML & CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words or LessLinkedInOn the GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit a Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd by TagBook a MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200+ Brands Publishing HereStart Chatting On The Decentralized Web!Data Engineer Interview Questions And Answers: 2020 Edition by@365-data-scienceData Engineer Interview Questions And Answers: 2020 EditionMarch 2nd 2020 1,828 reads@365-data-science365 Data Science365 Data Science is an online educational career platform.Data engineer interview questions are a major component of your interview preparation process. However, if you want to maximize your chances of landing a data engineer job, you must also be aware of how the data engineer interview process is going to unfold.This article is designed to help you navigate the data architect interview landscape with confidence. Here’s what you will learn:the most important skills required for a data engineer position;a list of real data engineer questions and answers (practice makes perfect, right?);how the data engineer interview process goes down in 3 leading companies.As a bonus, we’ll reveal 3 common mistakes you should avoid at all costs during your data engineer interview questions preparation.But first things first…What skills do you need to become a data engineer?Skills and qualifications are the most crucial part of your preparation for a data engineer position. Here are the top 5 must-have skills for anyone aiming for a data engineer career:Knowledge of data modeling for both data warehousing and Big Data;Experience in ETLs;Experience in the Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, etc.);SQL and Python;Mathematics;Data visualization skills (e.g., Tableau or PowerBI).If you need to improve your skillset to launch a successful career as a data engineer, you can register for the complete 365 Data Science Program today. Start with the fundamentals with our Statistics, Maths, and Excel courses, and build up step-by-step experience with SQL, Python, R, Power BI and Tableau.What are the most common data engineer interview questions you should be familiar with?General Data Engineer Interview QuestionsUsually, interviewers start the conversation with a few more general questions. Their aim is to take the edge off and prepare you for the more complex data engineering questions ahead. Here are a few that will help you get off to a flying start.1. How did you choose a career in data engineering?How to answerThe answer to this question helps the interviewer learn more about your education, background and work experience. You might have chosen the data engineering field as a natural continuation of your degree in Computer Science or Information Systems. Maybe you’ve had similar jobs before, or you’re transitioning from an entirely different career field. In any case, don’t shy away from sharing your story and highlighting the skills you’ve gained throughout your studies and professional path.Answer Example“Ever since I was a child, I have always had a keen interest in computers. When I reached senior year in high school, I already knew I wanted to pursue a degree in Information Systems. While in college, I took some math and statistics courses which helped me land my first job as a Data Analyst for a large healthcare company. However, as much as I liked applying my math and statistical knowledge, I wanted to develop more of my programming and data management skills. That’s when I started looking into data engineering. I talked to experts in the field and took online courses to learn more about it. I discovered it was the ideal career path for my combination of interests and skills. Luckily, within a couple of months, a data engineering position opened up in my company and I had the chance to transfer without a problem.”2. What do you think is the hardest aspect of being a data engineer?How to answerSmart hiring managers know not all aspects of a job are easy. So, don’t hesitate to answer this question honestly. You might think its goal is to make you pinpoint a weakness. But, in fact, what the interviewer wants to know is how you managed to resolve something you struggled with.Answer Example“As a data engineer, I’ve mostly struggled with fulfilling the needs of all the departments within the company. Different departments often have conflicting demands. So, balancing them with the capabilities of the company’s infrastructure has been quite challenging. Nevertheless, this has been a valuable learning experience for me, as it’s given me the chance to learn how these departments work and their role in the overall structure of the company.”3. Can you think of a time where you experienced an unexpected problem with bringing together data from different sources? How did you eventually solve it?How to answerThis question gives you the perfect opportunity to demonstrate your problem-solving skills and how you respond to sudden changes of the plan. The question could be data-engineer specific, or a more general one about handling challenges. Even if you don’t have particular experience, you can still give a satisfactory hypothetical answer.Answer Example“In my previous work experience, my team and I have always tried to be ready for any issues that may arise during the ETL process. Nevertheless, every once in a while, a problem will occur completely out of the blue. I remember when that happened while I was working for a franchise company. Its system required for data to be collected from various systems and locations. So, when one of the franchises changed their system without prior notification, this created quite a few loading issues for their store’s data. To deal with this issue, first I came up with a short-term solution to get the essential data into the company’s corporate wide-reporting system. Once I took care of that, I started developing a long-term solution to prevent such complications from happening again.”4. Data engineers collaborate with data architects on a daily basis. What makes your job as a data engineer different?How to AnswerWith this question, the interviewer is most probably trying to see if you understand how job roles differ within a data warehouse team. However, there is no “right” or “wrong” answer to this question. The responsibilities of both data engineer and data architects vary (or overlap) depending on the requirements of the company/database maintenance department you work for.Answer Example“Based on my work experience, the differences between the two job roles vary from company to company. Yes, it’s true that data engineers and data architects work closely together. Still, their general responsibilities differ. Data architects are in charge of building the data architecture of the company’s data systems and managing the servers. They see the full picture when it comes to the dissemination of data throughout the company. In contrast, data engineers focus on testing and maintaining of the architecture, rather than on building it. Plus, they make sure that the data available to analysts within the organization is reliable and of the necessary high quality.”5. Can you tell us a bit more about the data engineer certifications you have earned?How to AnswerCertifications prove to your future employer that you’ve invested time and effort to get formal training for a skill, rather than just pick it up on the job. The number of certificates under your belt also shows how dedicated you are to expanding your knowledge and skillset. Recency is also important, as technology in this field is rapidly evolving, and upgrading your skills on a regular basis is vital. However, if you haven’t completed any courses or online certificate programs, you can mention the trainings provided by past employers or the current company you work for. This will indicate that you’re up-to-date with the latest advancements in the data engineering sphere.Answer Example“Over the past couple of years, I’ve become a certified Google Professional Data Engineer, and I’ve also earned a Cloudera Certified Professional credential as a Data Engineer. I’m always keeping up-to-date with new trainings in the field. I believe that’s the only way to constantly increase my knowledge and upgrade my skillset. Right now, I’m preparing for the IBM Big Data Engineer Certificate Exam. In the meantime, I try to attend big data conferences with recognized speakers, whenever I have the chance.”Technical Data Engineer Interview QuestionsThe technical data engineer questions help the interviewer assess 2 things:whether you have the skills necessary for the role; and if you’re experienced with (or willing to advance in) the systems and programs utilized in the company. So, here’s a list of technical questions you can practice with.6. Which ETL tools have you worked with? Do you have a favorite one? If so, why?How to AnswerThe hiring manager needs to know that you’re no stranger to the ETL process and you have some experience with different ETL tools. So, once you enumerate the tools you’ve worked with and point out the one you favor, make sure to substantiate your preference in a way that demonstrates your expertise in the ETL process.Answer Example“I have experience with various ETL tools, such as IBM Infosphere, SAS Data Management, and SAP Data Services. However, if I have to pick one as my favorite, that would be Informatica’s PowerCenter. In my opinion, what makes it the best out there is its efficiency. PowerCenter has a very top performance rate and high flexibility which, I believe, are the most important properties of an ETL tool. They guarantee access to the data and smoothly running business data operations at all times, even if changes in the business or its structure take place.”7. Have you built data systems using the Hadoop framework? If so, please describe a particular project you’ve worked on.How to AnswerHadoop is a tool that many hiring managers ask about during interviews. You should know that whenever there’s a specific question like that, it’s highly likely that you’ll be required to use this particular tool on the job. So, to prepare, do your homework and make sure you’re familiar with the languages and tools the company uses. More often than not, you can find that information in the job description. If you’re experienced with the tool, give a detailed explanation of your project to highlight your skills and knowledge of the tool’s capabilities. In case you haven’t worked with this tool, the least you could do is do some research to demonstrate some basic familiarity with the tool’s attributes.Answer Example“I’ve used the Hadoop framework while working on a team project focused on increasing data processing efficiency. We chose to implement it because of its ability to increase data processing speeds while, at the same time, preserving quality through its distributed processing. We also decided to implement Hadoop because of its scalability, as the company I worked for expected a considerable increase in its data processing needs over the next few months. In addition, Hadoop is an open-source network which made it the best option, keeping in mind the limited resources for the project. Not to mention that it’s Java-based, so it was easy to use by everyone on the team and no additional training was required.”8. Do you have experience with a cloud computing environment? What are the pros and cons of working in one?How to AnswerData engineers are well aware that there are pros and cons to cloud computing. That said, even if you lack prior experience working in cloud computing, you must be able to demonstrate a certain level of understanding of its advantages and shortcomings. This will show the hiring manager that you’re aware of the present technological issues in the industry. Plus, if the position you’re interviewing for requires using a cloud computing environment, the hiring manager will know that you’ve got a basic idea of the possible challenges you might face.Answer Example“I haven’t had the chance to work in a cloud computing environment yet. However, I have a good overall idea of its pros and cons. On the plus side, cloud computing is more cost-effective and reliable. Most providers sign agreements that guarantee a high level of service availability which should decrease downtimes to a minimum. On the negative side, the cloud computing environment may compromise data security and privacy, as the data is kept outside the company. Moreover, your control would be limited, as the infrastructure is managed by the service provider. All things considered, cloud computing could be both right or wrong choice for a company, depending on its IT department structure and the resources at hand.”9. In your line of work, have you introduced new data analytics applications? If so, what challenges did you face while introducing and implementing them?How to AnswerNew data applications are high-priced, so introducing such within a company doesn’t happen that often. Nevertheless, when a company decides to invest in new data analytics tools, this could turn into quite an ambitious project. The new tools must be connected to the current systems in the company, and the employers who are going to use them should be formally trained. Additionally, maintenance of the tools should be administered and carried out on a regular basis. So, if you have prior experience, point out the obstacles you’ve overcome or list some scenarios of what could have gone wrong. In case you lack relevant experience, describe what you know about the process in detail. This will let the hiring manager know that, if a problem arises, you have the basic know-how that would help you through.Answer Example“As a data engineer, I’ve taken part in the introduction of a brand-new data analytics application in the last company I’ve worked for. The whole process requires a well-thought-out plan to ensure the smoothest transition possible. However, even the most careful planning can’t rule out unforeseen issues. One of them was the high demand for user licenses which went beyond our expectations. The company had to reallocate financial resources to obtain additional licenses. Furthermore, training schedules had to be set up in a way that doesn’t interrupt the workflow in different departments. In addition, we had to optimize our infrastructure, so that it could support the considerably higher number of users.”10. What is your experience level with NoSQL databases? Tell me about a situation where building a NoSQL database was a better solution than building a relational database.How to AnswerThere are certain pros and cons of using one type of database compared to another. To give the best possible answer, try to showcase your knowledge about each and back it up with an example situation that demonstrates how you have applied (or would apply) your know-how to a real-world project.Answer Example“Building a NoSQL database can be beneficial in some situations. Here’s a situation from my experience that first comes to my mind. When the franchise system in the company I worked for was increasing in size exponentially, we had to be able to scale up quickly in order to make the most of all the sales and operational data we had on hand.But here’s the thing. Scaling out is the better option, compared to scaling up with bigger servers, when it comes to handling increases data processing loads. Scaling out is also more cost-effective and it’s easier to accomplish through NoSQL databases. The latter can deal with larger volumes of data. And that can be crucial when you need to respond quickly to considerable shifts in data loads in the future. Yes, it’s true that relational databases have better connectivity to various analytics tools. However, as more of those are being developed, there’s definitely a lot more coming from NoSQL databases in the future. That said, the additional training some developers might need is certainly worth it.”By the way, if you’re finding this answer useful, consider sharing this article, so others can benefit from it, too. Helping fellow aspiring data engineers reach their goals is one of the things that make the data science community special.11. What’s your experience with data modeling? What data modeling tools have you used in your work experience?How to AnswerAs a data engineer, you probably have some experience with data modeling. In your answer, try not only to list the relevant tools you have worked with, but also mention their pros and cons. This question also gives you a chance to highlight your knowledge of data modeling in general.Answer Example“I’ve always done my best to be familiar with the data models in the companies I’ve worked for, regardless of my involvement with the data modeling process. This is one of the ways I gain a deeper understanding of the whole system. In my work experience, I’ve utilized Oracle SQL Developer Data Modeler to develop two types of models. Conceptual models for our work with stakeholders, and logical data models which make it possible to define data models, structures and relationships within the database.”Behavioral Data Engineer QuestionsBehavioral data engineer interview questions give the interviewer a chance to see how you have handled unforeseen data engineering issues or teamwork challenges in your experience. The answers you provide should reassure your future employer that you can deal with high-pressure situations and a variety of challenges. Here are a few examples to consider in your preparation.12. Data maintenance is one of the routine responsibilities of a data engineer. Describe a time when you encountered an unexpected data maintenance problem that made you search for an out-of-the-box solution.How to AnswerUsually, data maintenance is scheduled and covers a particular task list. Therefore, when everything is operating according to plan, the tasks don’t change as often. However, it’s inevitable that an unexpected issue arises every once in a while. As this might cause uncertainty on your end, the hiring manager would like to know how you would deal with such high-pressure situations.Answer Example“It’s true that data maintenance may come off as routine. But, in my opinion, it’s always a good idea to closely monitor the specified tasks. And that includes making sure the scripts are executed successfully. Once, while I was conducting an integrity check, I located a corrupt index that could have caused some serious problems in the future. This prompted me to come up with a new maintenance task that prevents corrupt indexes from being added to the company’s databases.”13. Data engineers generally work “backstage”. Do you feel comfortable with that or do you prefer being in the “spotlight”?How to AnswerThe reason why data engineers mostly work “backstage” is that making data available comes much earlier in the data analysis project timeline. That said, c-level executives in the company are usually more interested in the later stages of the work process. More specifically, their goal is to understand the insights that data scientists extract from the data via statistical and machine learning models. So, your answer to this question will tell the hiring manager if you’re only able to work in the spotlight, or if you thrive in both situations.Answer Example“As a data engineer, I realize that I do most of my work away from the spotlight. But that has never been that important to me. I believe what matters is my expertise in the field and how it helps the company reach its goals. However, I’m pretty comfortable being in the spotlight whenever I need to be. For example, if there’s a problem in my department which needs to be addressed by the company executives, I won’t hesitate to bring their attention to it. I think that’s how I can further improve my team’s work and reach better results for the company.”14. Do you have experience as a trainer in software, applications, processes or architecture? If so, what do you consider as the most challenging part?How to AnswerAs a data engineer, you may often be required to train your co-workers on the new processes or systems you’ve created. Or you may have to train new teammates on the already existing architectures and pipelines. As technology is constantly evolving, you might even have to perform recurring trainings to keep everyone on track. That said, when you talk about a challenge you’ve faced, make sure you let the interviewer know how you handled it.Answer Example“Yes, I have experience training both small and large groups of co-workers. I think the most challenging part is to train new employees who already have significant experience in another company. Usually, they’re used to approaching data from an entirely different perspective. And that’s a problem because they struggle to accept the way we handle projects in our company. They’re often very opinionated and it takes time for them to realize there’s more than one solution to a certain problem. However, what usually helps is emphasizing how successful our processes and architecture have proven to be so far. That encourages them to open their minds to the alternative possibilities out there.”15. Have you ever proposed changes to improve data reliability and quality? Were they eventually implemented? If not, why not?How to AnswerOne of the things hiring managers value most is constant improvements of the existing environment, especially if you initiate those improvements yourself, as opposed to being assigned to do it. So, if you’re a self-starter, definitely point this out. This will showcase your ability to think creatively and the importance you place on the overall company’s success. If you lack such experience, explain what changes you would propose as a data engineer. In case your ideas were not implemented for reasons such as lack of financial resources, you can mention that. However, try to focus on your continuous efforts to find novel ways to improve data quality.Answer Example“Data quality and reliability have always been a top priority in my work. While working on a specific project, I discovered some discrepancies and outliers in the data stored in the company’s database. Once I’ve identified several of those, I proposed to develop and implement a data quality process in my department’s routine. This included bi-weekly meetups with coworkers from different departments where we would identify and troubleshoot data issues. At first, everyone was worried that this would take too much time off their current projects. However, in time, it turned out it was worth it. The new process prevented the occurrence of larger (and more costly) issues in the future.”16. Have you ever played an active role in solving a business problem through the innovative use of existing data?How to AnswerHiring managers are looking for self-motivated people who are eager to contribute to the success of a project. Try to give an example where you came up with a project idea or you took charge of a project. It’s best if you point out what novel solution you proposed, instead of focusing on a detailed description of the problem you had to deal with.Answer Example“In the last company I worked for, I took active part in a project that aimed to identify the reason’s for the high employee turnover rate. I started by closely observing data from other areas of the company, such as Marketing, Finance, and Operations. This helped me find some high correlations of data in these key areas with employee turnover rates. Then, I collaborated with the analysts in those departments to gain a better understanding of the correlations in question. Ultimately, our efforts resulted in strategic changes that had a positive influence over the employee turnover rates.”17. Which non-technical skills do you find most valuable in your role as a data engineer?How to AnswerAlthough technical skills are of major importance if you want to advance your data engineer career, there are many non-engineering skills that could aid your success. In your answer, try to avoid the most obvious examples, such as communication or interpersonal skills.Answer Example“I’d say the most useful skills I’ve developed over the years are multitasking and prioritizing. As a data engineer, I have to prioritize or balance between various tasks daily. I work with many departments in the company, so I receive tons of different requests from my coworkers. To cope with those efficiently, I need to put fulfilling the most urgent company needs first without neglecting all the other requests. And strengthening the skills I mentioned has really helped me out.”BrainteasersInterviewers use brainteasers to test both your logical and creative thinking. These questions also help them assess how quickly you can resolve a task that requires an out-of-the-box approach.18. You have eight balls of the same size. Seven of them weigh the same, and one of them weighs slightly more. How can you find the ball that is heavier by using a balance and only two attempts at weighing?You can put six of the balls on the balance. If one of the sides is heavier you will know that the heavier ball is on that side. If not, the heavier ball is among the two that you did not measure and it will be really easy to determine precisely which ball is heavier with your second weighing.After you determine which side is heavier, you will have 3 balls left to choose from. You have another attempt at weighing left. You can put two of the balls on the balance and see if one of them is heavier. If it is, then you have found the heavier ball. If it is not, then the third ball is the one that is heavier.19. A windowless room has three light bulbs. You are outside the room with 3 switches, each of them controlling one of the light bulbs. If you were told that you can enter the room only once, how are you going to tell which switch controls which light bulb?You have to be creative in order to solve this one. You switch on two of the light bulbs and then wait for 30 minutes. Then you switch off one of them and enter the room. You will know which switch controls the light bulb that is on. Here is the tough part. How are you going to be able to determine which switch corresponds to the other two light bulbs? You will have to touch them. Yes. That’s right. Touch them and feel which one is warm. That will be the other bulb that you had turned on for 30 minutes.You will be in serious trouble if the interviewer says that the light bulbs are LED (given that they don’t emit heat).GuesstimateAlthough guesstimates aren’t an obligatory part of the data engineer interview process, many interviewers would ask such a question to assess your quantitative reasoning and approach to solving complex problems. Here’s a good example.20. How many gallons of white house paint are sold in the US every year?Find the number of homes in the US: Assuming that there are 300 million people in the US and the average household contains 2.5 people then we can conclude that there are 120 million homes in the US.Number of houses: Many people live in apartments and other types of buildings different than houses. Let’s assume that the percentage of people living in houses is 50%. Hence, there are 60 million houses.Houses that are painted in white: Although white is the most popular color, many people choose different paint colors for their houses or do not need to paint them (using other types of techniques in order to cover the external surface of the house). Let’s hypothesize that 30% of all houses are painted in white, which makes 18 million houses that are painted in white.Repainting: People need to repaint their houses after a given amount of years. For the purposes of this exercise, let’s hypothesize that people repaint their houses once every 9 years, which means that every year 2 million houses are repainted in white.I have never painted a house, but let’s assume that in order to repaint a house you need 30 gallons of white paint. This means the total US market for white house paint is 60 million gallons.What is the data engineer interview process like?A phone screen with a recruiter or a team member? How many onsite interviews you should be ready for? Will there be one or multiple interviewers?Short answer: It depends on the company, its hiring policy and interviewing approach.That said, here is what you can expect from a data engineer job interview at three top companies – Yahoo, Facebook, and Walmart. We believe these overviews will give you a good initial idea of what happens behind the scenes.YahooGenerally, Yahoo recruit candidates from the top 10-20 schools. However, you can still get a data engineer interview through large job search platforms, such as Indeed.com and Glassdoor. Or, if you are lucky enough – with an internal referral. Anyhow, once you make the cut, you can expect a phone screen with a manager or a team lead. What about the onsite interviews? Usually, you’ll interview with 6-7 data engineer team members for about 45 minutes each. Each interview will focus on a different area, but all of them have a similar structure. A short general talk (5 minutes), followed by a coding question (20 minutes) and a data engineering question (20 minutes). The latter will often tap into your previous experience to solve a current data engineering issue the company is experiencing.In the end, you’ll have a more general talk with a senior employee. At the same time, the interviewers will gather to share their feedback on your performance and check in with the hiring manager. If you’ve passed the data engineer interview with flying colors, you could get a decision on the day of the interview! However, if a few days have passed and you haven’t received an answer, don’t be shy to send HR a polite update request.FacebookUsually, the data engineering interviewing process starts with an email or a phone call with a recruiter, followed by a phone screen or an in-person interview. The screening interview is conducted by a coworker and takes about 1 hour. It consists of SQL questions and online test coding tasks that you have to solve through a collaborative editor (CoderPad) in a programming language of your choice. Also, prepare to answer questions related to your resume, skills, interests, and motivation. If those go well, they’ll invite you to a longer series of interviews at the Facebook office – 5 hours of in-person interviews, including a 1-hour lunch interview.Three of the onsite interviews are focused on problem-solving. You’ll be questioned about data engineering issues that the company is facing and how you can help them solve them, for example, how to identify the metrics for performance for this specific feature) and you will be expected to write SQL and actual code for the context of the problem itself. There is also a behavioral interview portion, asking you about your work experience, and how you deal with interpersonal problems. Finally, there is an informal lunch conversation where you can ask about the work culture and other day-to-day questions.What’s typical of Facebook interviews is that many data engineer interview questions focus on a deep understanding of their product, so make sure you demonstrate both knowledge and genuine interest in the data engineer job.Once the interviews are over, everyone you’ve interviewed with compare notes to decide if you’ll be successful in the data engineer role. Then all left to do is wait for your recruiter to contact you with feedback from the interview. Or, if you haven’t heard from a company rep within a week or so, take matters into your own hands and send a kind follow-up email.WalmartThe data engineer interview process will usually start with a phone screen, followed by 4 technical interviews (expect some coding, big data, data modeling, and mathematics) and 1 lunch interview. More often than not, there is one more data engineer technical interview with a hiring manager (and guess what – it involves some more coding!). Anything specific to remember? Yes. Walmart has been utilizing huge amounts of big data, even before it was coined as “big”. MapReduce, Hive, HDFS, and Spark are all used internally by their data science and data engineering teams. That said, a little bit of practice every day goes a long way. And, if you diligently prepare for some coding and big data questions, you have every chance of becoming a data engineer in the world’s biggest retail corporation.What common mistakes to avoid in your data engineer interview questions preparation?We know that sometimes the devil’s in the details. And we wouldn’t want you to miss a single detail that could cost you your success! So, here are 3 common mistakes you should definitely refrain from making:Not practicing behavioral data engineer interview questionsEven if you have the technical part covered, that doesn’t necessarily mean smooth sailing! Behavioral questions are becoming increasingly important, as they tell the interviewer more about your personality, how you handle conflicts and problematic work situations. So, remember to prepare for those by rehearsing some relevant stories from your past experience and getting familiar with the behavioral data engineer interview questions we’ve listed.Skipping the mock interviewAre you so deep into your interview preparation process that you’ve cut all ties with the outside world? Big mistake! Snap out of it now, call a fellow data engineer and ask them to do a mock interview with you. Every interview has a performance side to it, and just imagining how you’re going to act or sound wouldn’t give you a realistic idea. So, while you’re doing the mock interview, pay special attention to your body language and mannerisms, as well as to your tone of voice and pace of speech. You’ll be amazed by the insight you’re going to get!Getting discouragedThere’s one more thing you should remember about interviews. Once you pass the easier problems, you’re bound to get to the harder data engineer interview questions. But no matter how difficult they seem, don’t give up. Stay cool, calm, and collected, and don’t hesitate to ask for guidance or additional explanations. If anything, this will prove two things: that you’re not afraid of challenging situations; and you’re willing to collaborate to find an efficient solution.In ConclusionNow that you’re well-familiar with the data engineer interview questions and the most important things to remember about the interview process itself, you should be much more confident in your interview preparation for that position. If you’re eager to explore more data engineer interview questions, follow the link to our all-comprising article Data Science Interview Questions. However, if you feel that you lack some of the essential skills required for the job, check out the complete Data Science Program. In case you aren’t sure if you want to turn your interest in data science into a full-fledged career, we also offer a free preview version of the Data Science Program. You’ll receive 12 hours of beginner to advanced content for free. It’s a great way to see if the program is right for you.Referenceshttps://365datascience.com/career-data-science-ultimate-guide/Previously published at https://365datascience.com/data-engineer-interview-questions/Share this story @365-data-science365 Data ScienceStart your career in Data Science now!RelatedInfluenza Vaccines: The Data Science Behind Them#data-science@365-data-science365 Data Science9min03/02/20The Highest Paying Jobs in America#skills@aliciajohnson1329Alicia Johnson07/02/20The Problem with Data Science Interviews#data-science@vcmartinsVC Martins06/02/20Tags#data-science-career#data-science-program#data-science-tools#data-science-internship#data-science-salary#365-data-science#career-data-science#data-engineerSubscribe to get your daily round-up of top tech stories!HelpAboutStart WritingSponsor:Brand-as-AuthorSitewide BillboardAd by tagNewsletterNooniesContact UsTermsPrivacyCookiesStories published yesterdayLeaderboardContributor's ClubChrome Extension | Data Engineer Interview Questions And Answers: 2020 Edition | Data Engineer Interview Questions And Answers: 2020 Edition Hacker NoonStart WritingStart WritingReadTechAIAutomationBusinessDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning LifeRoboticsSelfDriving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop Stories0Write0LearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero MasteryData ScienceData science course 2020Deep learning AZMachine Learning, Data Science, Deep Learning PythonPython Machine LearningStatistics Data Science Business AnalysisLanguagesHTML CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words LessLinkedInOn GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd TagBook MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200 Brands Publishing HereReadTechAIAutomationBusinessDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning LifeRoboticsSelfDriving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop StoriesWriteLearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero MasteryData ScienceData science course 2020Deep learning AZMachine Learning, Data Science, Deep Learning PythonPython Machine LearningStatistics Data Science Business AnalysisLanguagesHTML CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words LessLinkedInOn GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd TagBook MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200 Brands Publishing HereStart Chatting On The Decentralized WebData Engineer Interview Questions And Answers: 2020 Edition Engineer Interview Questions And Answers: 2020 EditionMarch 2nd 2020 1,828 reads Data Science365 Data Science online educational career platform.Data engineer interview questions major component interview preparation process. However, want maximize chances oflanding data engineer job, aware data engineer interview process going unfold.This article designed help navigate data architect interview landscape confidence. Heres learn:the important skills required data engineer position;a list real data engineer questions answers practice makes perfect, right?;how data engineer interview process goes 3 leading companies.As bonus, reveal 3 common mistakes avoid costs data engineer interview questions preparation.But things firstWhat skills need data engineer?Skills qualifications crucial preparation data engineer position. Here 5 musthave skills aiming data engineer career:Knowledge data modeling data warehousing Big Data;Experience ETLs;Experience Big Data space Hadoop Stack like MR, HDFS, Pig, Hive, etc.;SQL Python;Mathematics;Data visualization skills e.g., Tableau PowerBI.If need improve skillset launch successful career data engineer, canregister complete 365 Data Science Programtoday. Start fundamentals Statistics, Maths, Excel courses, build stepbystep experience SQL, Python, R, Power BI Tableau.What common data engineer interview questions familiar with?General Data Engineer Interview QuestionsUsually, interviewers start conversation general questions. Their aim edge prepare complex data engineering questions ahead. Here help flying start.1. How choose career data engineering?How answerThe answer question helps interviewer learn education, background work experience. You chosen data engineering field natural continuation degree Computer Science Information Systems. Maybe youve similar jobs before, youre transitioning entirely different career field. In case, dont shy away sharing story highlighting skills youve gained studies professional path.Answer ExampleEver I child, I keen computers. When I reached senior year high school, I knew I wanted pursue degree Information Systems. While college, I took math statistics courses helped land job Data Analyst large healthcare company. However, I liked applying math statistical knowledge, I wanted develop programming data management skills. Thats I started looking data engineering. I talked experts field took online courses learn it. I discovered ideal career path combination interests skills. Luckily, couple months, data engineering position opened company I chance transfer problem.2. What think hardest aspect data engineer?How answerSmart hiring managers know aspects job easy. So, dont hesitate answer question honestly. You think goal pinpoint weakness. But, fact, interviewer wants know managed resolve struggled with.Answer ExampleAs data engineer, Ive struggled fulfilling needs departments company. Different departments conflicting demands. So, balancing capabilities companys infrastructure challenging. Nevertheless, valuable learning experience me, given chance learn departments work role overall structure company.3. Can think time experienced unexpected problem bringing data different sources? How eventually solve it?How answerThis question gives perfect opportunity demonstrate problemsolving skills respond sudden changes plan. The question dataengineer specific, general handling challenges. Even dont particular experience, satisfactory hypothetical answer.Answer ExampleIn previous work experience, team I tried ready issues arise ETL process. Nevertheless, while, problem occur completely blue. I remember happened I working franchise company. Its required data collected systems locations. So, franchises changed prior notification, created loading issues stores data. To deal issue, I came shortterm solution essential data companys corporate widereporting system. Once I took care that, I started developing longterm solution prevent complications happening again.4. Data engineers collaborate data architects daily basis. What makes job data engineer different?How AnswerWith question, interviewer probably trying understand job roles differ data warehouse team. However, right wrong answer question. The responsibilities data engineer data architects vary overlap depending requirements companydatabase maintenance department work for.Answer ExampleBased work experience, differences job roles vary company company. Yes, true data engineers data architects work closely together. Still, general responsibilities differ. Data architects charge building data architecture companys data systems managing servers. They picture comes dissemination data company. In contrast, data engineers focus testing maintaining architecture, building it. Plus, sure data available analysts organization reliable necessary high quality.5. Can tell bit data engineer certifications earned?How AnswerCertifications prove future employer youve invested time effort formal training skill, pick job. The number certificates belt shows dedicated expanding knowledge skillset. Recency important, technology field rapidly evolving, upgrading skills regular basis vital. However, havent completed courses online certificate programs, mention trainings provided past employers current company work for. This indicate youre uptodate latest advancements data engineering sphere.Answer ExampleOver past couple years, Ive certified Google Professional Data Engineer, Ive earned Cloudera Certified Professional credential Data Engineer. Im keeping uptodate new trainings field. I believe thats way constantly increase knowledge upgrade skillset. Right now, Im preparing IBM Big Data Engineer Certificate Exam. In meantime, I try attend big data conferences recognized speakers, I chance.Technical Data Engineer Interview QuestionsThe technical data engineer questions help interviewer assess 2 things:whether skills necessary role; youre experienced willing advance systems programs utilized company. So, heres list technical questions practice with.6. Which ETL tools worked with? Do favorite one? If so, why?How AnswerThe hiring manager needs know youre stranger ETL process experience different ETL tools. So, enumerate tools youve worked point favor, sure substantiate preference way demonstrates expertise ETL process.Answer ExampleI experience ETL tools, IBM Infosphere, SAS Data Management, SAP Data Services. However, I pick favorite, Informaticas PowerCenter. In opinion, makes best efficiency. PowerCenter performance rate high flexibility which, I believe, important properties ETL tool. They guarantee access data smoothly running business data operations times, changes business structure place.7. Have built data systems Hadoop framework? If so, particular project youve worked on.How AnswerHadoop tool hiring managers ask interviews. You know theres specific question like that, highly likely youll required use particular tool job. So, prepare, homework sure youre familiar languages tools company uses. More not, information job description. If youre experienced tool, detailed explanation project highlight skills knowledge tools capabilities. In case havent worked tool, research demonstrate basic familiarity tools attributes.Answer ExampleIve Hadoop framework working team project focused increasing data processing efficiency. We chose implement ability increase data processing speeds while, time, preserving quality distributed processing. We decided implement Hadoop scalability, company I worked expected considerable increase data processing needs months. In addition, Hadoop opensource network best option, keeping mind limited resources project. Not mention Javabased, easy use team additional training required.8. Do experience cloud computing environment? What pros cons working one?How AnswerData engineers aware pros cons cloud computing. That said, lack prior experience working cloud computing, able demonstrate certain level understanding advantages shortcomings. This hiring manager youre aware present technological issues industry. Plus, position youre interviewing requires cloud computing environment, hiring manager know youve got basic idea possible challenges face.Answer ExampleI havent chance work cloud computing environment yet. However, I good overall idea pros cons. On plus side, cloud computing costeffective reliable. Most providers sign agreements guarantee high level service availability decrease downtimes minimum. On negative side, cloud computing environment compromise data security privacy, data kept outside company. Moreover, control limited, infrastructure managed service provider. All things considered, cloud computing right wrong choice company, depending IT department structure resources hand.9. In line work, introduced new data analytics applications? If so, challenges face introducing implementing them?How AnswerNew data applications highpriced, introducing company doesnt happen often. Nevertheless, company decides invest new data analytics tools, turn ambitious project. The new tools connected current systems company, employers going use formally trained. Additionally, maintenance tools administered carried regular basis. So, prior experience, point obstacles youve overcome list scenarios gone wrong. In case lack relevant experience, know process detail. This let hiring manager know that, problem arises, basic knowhow help through.Answer ExampleAs data engineer, Ive taken introduction brandnew data analytics application company Ive worked for. The process requires wellthoughtout plan ensure smoothest transition possible. However, careful planning rule unforeseen issues. One high demand user licenses went expectations. The company reallocate financial resources obtain additional licenses. Furthermore, training schedules set way doesnt interrupt workflow different departments. In addition, optimize infrastructure, support considerably higher number users.10. What experience level NoSQL databases? Tell situation building NoSQL database better solution building relational database.How AnswerThere certain pros cons type database compared another. To best possible answer, try showcase knowledge example situation demonstrates applied apply knowhow realworld project.Answer ExampleBuilding NoSQL database beneficial situations. Heres situation experience comes mind. When franchise company I worked increasing size exponentially, able scale quickly order sales operational data hand.But heres thing. Scaling better option, compared scaling bigger servers, comes handling increases data processing loads. Scaling costeffective easier accomplish NoSQL databases. The deal larger volumes data. And crucial need respond quickly considerable shifts data loads future. Yes, true relational databases better connectivity analytics tools. However, developed, theres definitely lot coming NoSQL databases future. That said, additional training developers need certainly worth it.By way, youre finding answer useful, consider sharing article, benefit it, too. Helping fellow aspiring data engineers reach goals things data science community special.11. Whats experience data modeling? What data modeling tools work experience?How AnswerAs data engineer, probably experience data modeling. In answer, try list relevant tools worked with, mention pros cons. This question gives chance highlight knowledge data modeling general.Answer ExampleIve best familiar data models companies Ive worked for, regardless involvement data modeling process. This ways I gain deeper understanding system. In work experience, Ive utilized Oracle SQL Developer Data Modeler develop types models. Conceptual models work stakeholders, logical data models possible define data models, structures relationships database.Behavioral Data Engineer QuestionsBehavioral data engineer interview questions interviewer chance handled unforeseen data engineering issues teamwork challenges experience. The answers provide reassure future employer deal highpressure situations variety challenges. Here examples consider preparation.12. Data maintenance routine responsibilities data engineer. Describe time encountered unexpected data maintenance problem search outofthebox solution.How AnswerUsually, data maintenance scheduled covers particular task list. Therefore, operating according plan, tasks dont change often. However, inevitable unexpected issue arises while. As cause uncertainty end, hiring manager like know deal highpressure situations.Answer ExampleIts true data maintenance come routine. But, opinion, good idea closely monitor specified tasks. And includes making sure scripts executed successfully. Once, I conducting integrity check, I located corrupt index caused problems future. This prompted come new maintenance task prevents corrupt indexes added companys databases.13. Data engineers generally work backstage. Do feel comfortable prefer spotlight?How AnswerThe reason data engineers work backstage making data available comes earlier data analysis project timeline. That said, clevel executives company usually interested later stages work process. More specifically, goal understand insights data scientists extract data statistical machine learning models. So, answer question tell hiring manager youre able work spotlight, thrive situations.Answer ExampleAs data engineer, I realize I work away spotlight. But important me. I believe matters expertise field helps company reach goals. However, Im pretty comfortable spotlight I need be. For example, theres problem department needs addressed company executives, I wont hesitate bring attention it. I think thats I improve teams work reach better results company.14. Do experience trainer software, applications, processes architecture? If so, consider challenging part?How AnswerAs data engineer, required train coworkers new processes systems youve created. Or train new teammates existing architectures pipelines. As technology constantly evolving, perform recurring trainings track. That said, talk challenge youve faced, sure let interviewer know handled it.Answer ExampleYes, I experience training small large groups coworkers. I think challenging train new employees significant experience company. Usually, theyre approaching data entirely different perspective. And thats problem struggle accept way handle projects company. Theyre opinionated takes time realize theres solution certain problem. However, usually helps emphasizing successful processes architecture proven far. That encourages open minds alternative possibilities there.15. Have proposed changes improve data reliability quality? Were eventually implemented? If not, not?How AnswerOne things hiring managers value constant improvements existing environment, especially initiate improvements yourself, opposed assigned it. So, youre selfstarter, definitely point out. This showcase ability think creatively importance place overall companys success. If lack experience, explain changes propose data engineer. In case ideas implemented reasons lack financial resources, mention that. However, try focus continuous efforts novel ways improve data quality.Answer ExampleData quality reliability priority work. While working specific project, I discovered discrepancies outliers data stored companys database. Once Ive identified those, I proposed develop implement data quality process departments routine. This included biweekly meetups coworkers different departments identify troubleshoot data issues. At first, worried time current projects. However, time, turned worth it. The new process prevented occurrence larger costly issues future.16. Have played active role solving business problem innovative use existing data?How AnswerHiring managers looking selfmotivated people eager contribute success project. Try example came project idea took charge project. Its best point novel solution proposed, instead focusing detailed description problem deal with.Answer ExampleIn company I worked for, I took active project aimed identify reasons high employee turnover rate. I started closely observing data areas company, Marketing, Finance, Operations. This helped high correlations data key areas employee turnover rates. Then, I collaborated analysts departments gain better understanding correlations question. Ultimately, efforts resulted strategic changes positive influence employee turnover rates.17. Which nontechnical skills valuable role data engineer?How AnswerAlthough technical skills major importance want advance data engineer career, nonengineering skills aid success. In answer, try avoid obvious examples, communication interpersonal skills.Answer ExampleId useful skills Ive developed years multitasking prioritizing. As data engineer, I prioritize balance tasks daily. I work departments company, I receive tons different requests coworkers. To cope efficiently, I need fulfilling urgent company needs neglecting requests. And strengthening skills I mentioned helped out.BrainteasersInterviewers use brainteasers test logical creative thinking. These questions help assess quickly resolve task requires outofthebox approach.18. You balls size. Seven weigh same, weighs slightly more. How ball heavier balance attempts weighing?You balls balance. If sides heavier know heavier ball side. If not, heavier ball measure easy determine precisely ball heavier second weighing.After determine heavier, 3 balls left choose from. You attempt weighing left. You balls balance heavier. If is, heavier ball. If not, ball heavier.19. A windowless room light bulbs. You outside room 3 switches, controlling light bulbs. If told enter room once, going tell switch controls light bulb?You creative order solve one. You switch light bulbs wait 30 minutes. Then switch enter room. You know switch controls light bulb on. Here tough part. How going able determine switch corresponds light bulbs? You touch them. Yes. Thats right. Touch feel warm. That bulb turned 30 minutes.You trouble interviewer says light bulbs LED given dont emit heat.GuesstimateAlthough guesstimates arent obligatory data engineer interview process, interviewers ask question assess quantitative reasoning approach solving complex problems. Heres good example.20. How gallons white house paint sold US year?Find number homes US: Assuming 300 million people US average household contains 2.5 people conclude 120 million homes US.Number houses: Many people live apartments types buildings different houses. Lets assume percentage people living houses 50. Hence, 60 million houses.Houses painted white: Although white popular color, people choose different paint colors houses need paint types techniques order cover external surface house. Lets hypothesize 30 houses painted white, makes 18 million houses painted white.Repainting: People need repaint houses given years. For purposes exercise, lets hypothesize people repaint houses 9 years, means year 2 million houses repainted white.I painted house, lets assume order repaint house need 30 gallons white paint. This means total US market white house paint 60 million gallons.What data engineer interview process like?A phone screen recruiter team member? How onsite interviews ready for? Will multiple interviewers?Short answer: It depends company, hiring policy interviewing approach.That said, expect data engineer job interview companies Yahoo, Facebook, Walmart. We believe overviews good initial idea happens scenes.YahooGenerally, Yahoo recruit candidates 1020 schools. However, data engineer interview large job search platforms, Glassdoor. Or, lucky internal referral. Anyhow, cut, expect phone screen manager team lead. What onsite interviews? Usually, youll interview 67 data engineer team members 45 minutes each. Each interview focus different area, similar structure. A short general talk 5 minutes, followed coding question 20 minutes data engineering question 20 minutes. The tap previous experience solve current data engineering issue company experiencing.In end, youll general talk senior employee. At time, interviewers gather share feedback performance check hiring manager. If youve passed data engineer interview flying colors, decision day interview However, days passed havent received answer, dont shy send HR polite update request.FacebookUsually, data engineering interviewing process starts email phone recruiter, followed phone screen inperson interview. The screening interview conducted coworker takes 1 hour. It consists SQL questions online test coding tasks solve collaborative editor CoderPad programming language choice. Also, prepare answer questions related resume, skills, interests, motivation. If well, theyll invite longer series interviews Facebook office 5 hours inperson interviews, including 1hour lunch interview.Three onsite interviews focused problemsolving. Youll questioned data engineering issues company facing help solve them, example, identify metrics performance specific feature expected write SQL actual code context problem itself. There behavioral interview portion, asking work experience, deal interpersonal problems. Finally, informal lunch conversation ask work culture daytoday questions.Whats typical Facebook interviews data engineer interview questions focus deep understanding product, sure demonstrate knowledge genuine data engineer job.Once interviews over, youve interviewed compare notes decide youll successful data engineer role. Then left wait recruiter contact feedback interview. Or, havent heard company rep week so, matters hands send kind followup email.WalmartThe data engineer interview process usually start phone screen, followed 4 technical interviews expect coding, big data, data modeling, mathematics 1 lunch interview. More not, data engineer technical interview hiring manager guess involves coding. Anything specific remember? Yes. Walmart utilizing huge amounts big data, coined big. MapReduce, Hive, HDFS, Spark internally data science data engineering teams. That said, little bit practice day goes long way. And, diligently prepare coding big data questions, chance data engineer worlds biggest retail corporation.What common mistakes avoid data engineer interview questions preparation?We know devils details. And wouldnt want miss single cost success So, 3 common mistakes definitely refrain making:Not practicing behavioral data engineer interview questionsEven technical covered, doesnt necessarily mean smooth sailing Behavioral questions increasingly important, tell interviewer personality, handle conflicts problematic work situations. So, remember prepare rehearsing relevant stories past experience getting familiar behavioral data engineer interview questions weve listed.Skipping mock interviewAre deep interview preparation process youve cut ties outside world? Big mistake Snap now, fellow data engineer ask mock interview you. Every interview performance it, imagining youre going act sound wouldnt realistic idea. So, youre mock interview, pay special attention body language mannerisms, tone voice pace speech. Youll amazed insight youre going getGetting discouragedTheres thing remember interviews. Once pass easier problems, youre bound harder data engineer interview questions. But matter difficult seem, dont up. Stay cool, calm, collected, dont hesitate ask guidance additional explanations. If anything, prove things: youre afraid challenging situations; youre willing collaborate efficient solution.In ConclusionNow youre wellfamiliar data engineer interview questions important things remember interview process itself, confident interview preparation position. If youre eager explore data engineer interview questions, follow link ourallcomprising article Data Science Interview Questions. However, feel lack essential skills required job, check thecomplete Data Science Program. In case arent sure want turn data science fullfledged career, offer afree preview version Data Science Program. Youll receive 12 hours beginner advanced content free. Its great way program right you.References published story Data ScienceStart career Data Science nowRelatedInfluenza Vaccines: The Data Science Behind Themdatascience Data Science9min030220The Highest Paying Jobs Americaskills Johnson070220The Problem Data Science Interviewsdatascience Martins060220Tagsdatasciencecareerdatascienceprogramdatasciencetoolsdatascienceinternshipdatasciencesalary365datasciencecareerdatasciencedataengineer daily roundup tech storiesHelpAboutStart WritingSponsor:BrandasAuthorSitewide BillboardAd tagNewsletterNoonies UsTermsPrivacysStories published yesterdayLeaderboardContributors ClubChrome Extension | 2,020 | [
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] | 1 | NEGATIVE | 228 |
https://scitechdaily.com/major-scientific-advance-deepmind-ai-alphafold-solves-50-year-old-grand-challenge-of-protein-structure-prediction/ | 2020-12-02T00:00:00 | en | Major Scientific Advance: DeepMind AI AlphaFold Solves 50-Year-Old Grand Challenge of Protein Structure Prediction |
Major Scientific Advance: DeepMind AI AlphaFold Solves 50-Year-Old Grand Challenge of Protein Structure Prediction
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Major Scientific Advance: DeepMind AI AlphaFold Solves 50-Year-Old Grand Challenge of Protein Structure Prediction TOPICS:Artificial IntelligenceBiochemistryBioinformaticsBiotechnology
By DeepMind
December 1, 2020
Two examples of protein targets in the free modeling category. AlphaFold predicts highly accurate structures measured against experimental result. Credit: DeepMind
DeepMind develops AI solution to 50-year-old protein challenge, creating potential to accelerate biological research.
In a major scientific advance, the latest version of DeepMind’s AI system AlphaFold has been recognized as a solution to the 50-year-old grand challenge of protein structure prediction, often referred to as the ‘protein folding problem’, according to a rigorous independent assessment. This breakthrough could significantly accelerate biological research over the long term, unlocking new possibilities in disease understanding and drug discovery among other fields.
Today, results from CASP14 show that DeepMind’s latest AlphaFold system achieves unparalleled levels of accuracy in structure prediction. The system is able to determine highly-accurate structures in a matter of days. CASP, the Critical Assessment of protein Structure Prediction, is a biennial community-run assessment started in 1994, and the gold standard for assessing predictive techniques. Participants must blindly predict the structure of proteins that have only recently — or in some cases not yet — been experimentally determined, and wait for their predictions to be compared to experimental data.
CASP uses the “Global Distance Test (GDT)” metric to assess accuracy, ranging from 0-100. The new AlphaFold system achieves a median score of 92.4 GDT overall across all targets. The system’s average error is approximately 1.6 Angstroms — about the width of an atom. According to Professor John Moult, Co-founder and Chair of CASP, a score of around 90 GDT is informally considered to be competitive with results obtained from experimental methods.
Professor John Moult, Co-Founder and Chair of CASP, University of Maryland said:
“We have been stuck on this one problem — how do proteins fold up — for nearly 50 years. To see DeepMind produce a solution for this, having worked personally on this problem for so long and after so many stops and starts wondering if we’d ever get there, is a very special moment.”
Why protein structure prediction matters
Proteins are essential to life and their shapes are closely linked with their functions. The ability to predict protein structures accurately enables a better understanding of what they do and how they work. There are currently over 200 million proteins in the main database and only a fraction of their 3D structures have been mapped out.
A major challenge is the astronomical number of ways a protein could theoretically fold before settling into its final 3D structure. Many of the greatest challenges facing society, like developing treatments for diseases or finding enzymes that break down industrial waste, are fundamentally tied to proteins and the role they play. Determining protein shapes and functions is a major field of scientific research, primarily using experimental techniques that can take years of painstaking and laborious work per structure, and require the use of multi-million dollar specialised equipment.
DeepMind’s approach to the protein folding problem
This breakthrough builds on DeepMind’s first entry at CASP13 in 2018, where the initial version of AlphaFold achieved the highest level of accuracy among all participants. Now, DeepMind has developed new deep learning architectures for CASP14, drawing inspiration from the fields of biology, physics, and machine learning, as well as the work of many scientists in the protein folding field over the past half-century.
A folded protein can be thought of as a “spatial graph”, where residues are the nodes and edges connect the residues in close proximity. This graph is important for understanding the physical interactions within proteins, as well as their evolutionary history. For the latest version of AlphaFold used at CASP14, DeepMind created an attention-based neural network system, trained end-to-end, that attempts to interpret the structure of this graph, while reasoning over the implicit graph that it’s building. It uses evolutionarily related sequences, multiple sequence alignment (MSA), and a representation of amino acid residue pairs to refine this graph.
By iterating this process, the system develops strong predictions of the underlying physical structure of the protein. Additionally, AlphaFold can predict which parts of each predicted protein structure are reliable using an internal confidence measure.
The system was trained on publicly available data consisting of ~170,000 protein structures from the protein data bank, using a relatively modest amount of compute by modern machine learning standards — approximately 128 TPUv3-cores (roughly equivalent to ~100-200 GPUs) run over a few weeks.
Potential for real world impact
DeepMind is excited to collaborate with others to learn more about AlphaFold’s potential, and the AlphaFold team is looking into how protein structure predictions could contribute to understanding of certain diseases with a few specialist groups.
There are also signs that protein structure prediction could be useful in future pandemic response efforts, as one of many tools developed by the scientific community. Earlier this year, DeepMind predicted several protein structures of the SARS-CoV-2 virus, and impressively quick work by experimentalists has now confirmed that AlphaFold achieved a high degree of accuracy on its predictions.
AlphaFold is one of DeepMind’s most significant advances to date. But as with all scientific research, there’s still much to be done, including figuring out how multiple proteins form complexes, how they interact with DNA, RNA, or small molecules, and how to determine the precise location of all amino acid side chains.
As with its earlier CASP13 AlphaFold system, DeepMind is planning to submit a paper detailing the workings of this system to a peer-reviewed journal in due course, and is simultaneously exploring how best to provide broader access to the system in a scalable way.
AlphaFold breaks new ground in demonstrating the stunning potential for AI as a tool to aid fundamental scientific discovery. DeepMind looks forward to collaborating with others to unlock that potential.
Statements from independent scientists:
Professor Venki Ramakrishnan, Nobel Laureate and President of the Royal Society
“This computational work represents a stunning advance on the protein-folding problem, a 50-year old grand challenge in biology. It has occurred decades before many people in the field would have predicted. It will be exciting to see the many ways in which it will fundamentally change biological research.”
Professor Dame Janet Thornton, Director Emeritus & Senior Scientist, EMBL-EBI
“What the DeepMind team has managed to achieve is fantastic and will change the future of structural biology and protein research. After decades of studying proteins, the molecules that provide the structure and functions of all living things, I awoke this morning feeling that progress has been made.”
Arthur D. Levinson, PhD, Founder & CEO Calico, Former Chairman & CEO, Genentech
“AlphaFold is a once in a generation advance, predicting protein structures with incredible speed and precision. This leap forward demonstrates how computational methods are poised to transform research in biology and hold much promise for accelerating the drug discovery process.”
Professor Andrei Lupas, Director, Max Planck Institute for Developmental Biology
“AlphaFold’s astonishingly accurate models have allowed us to solve a protein structure we were stuck on for close to a decade, relaunching our effort to understand how signals are transmitted across cell membranes.”
Professor Ewan Birney, Deputy Director General EMBL, Director EMBL-EBI
“I nearly fell off my chair when I saw these results. I know how rigorous CASP is — it basically ensures that computational modelling must perform on the challenging task of ab-initio protein folding. It was humbling to see that these models could do that so accurately. There will be many aspects to understand but this is a huge advance for science.”
Statements from DeepMind / Alphabet:
Demis Hassabis, PhD, Founder and CEO, DeepMind
“The ultimate vision behind DeepMind has always been to build AI and then use it to help further our knowledge about the world around us by accelerating the pace of scientific discovery. For us AlphaFold represents a first proof point for that thesis. This advance is our first major breakthrough in a long-standing grand challenge in science, which we hope will have a big real-world impact on disease understanding and drug discovery.”
Pushmeet Kohli, PhD, Head of AI for Science, DeepMind
“These incredible results are testament to DeepMind’s unique research philosophy — bringing together mission-focused, multidisciplinary teams to target ambitious scientific goals. Critical assessments like CASP are important for driving research progress, and we look forward to building on this work, deepening our understanding of proteins and biological mechanisms, and opening up new avenues of exploration.”
John Jumper, PhD, AlphaFold Lead, DeepMind
“Protein biology is fantastically complex and defies simple characterisation. Our team’s work demonstrates that machine learning techniques are finally able to meet the complexity of describing these incredible protein machines, and we are truly excited to see what new breakthroughs in both human health and fundamental biology it will bring.”
Kathryn Tunyasuvunakool, PhD, Science Engineer, DeepMind
“The ability to predict high accuracy protein structures with AI could change how we approach biology, with potential applications in drug design and bioremediation. Particularly for experimentally challenging proteins, good predictive techniques could make a huge difference.”
Sundar Pichai, CEO, Google and Alphabet
“This is an incredible AI-powered breakthrough in protein folding, which will help us better understand one of life’s most fundamental building blocks. This huge leap forward from DeepMind has immediate practical implications, enabling researchers to tackle new and difficult problems, from future pandemic response to environmental sustainability.”
Read DeepMind AI Solution to a 50-Year-Old Science Challenge Could “Revolutionize Medical Research” for more on this topic.
About DeepMind
DeepMind is a multidisciplinary team of scientists, engineers, machine learning experts and more, working together to research and build safe AI systems that learn how to solve problems and advance scientific discovery for all.
Best-known for developing AlphaGo, the first program to beat a world champion at the complex game of Go, DeepMind has published over 1000 research papers — including more than a dozen in Nature and Science — and achieved breakthrough results in many challenging AI domains from StarCraft II to protein folding.
DeepMind was founded in London in 2010, and joined forces with Google in 2014 to accelerate its work. Since then, its community has expanded to include teams in Alberta, Montreal, Paris, and Mountain View in California.
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| Major Scientific Advance: DeepMind AI AlphaFold Solves 50-Year-Old Grand Challenge of Protein Structure Prediction | Major Scientific Advance: DeepMind AI AlphaFold Solves 50YearOld Grand Challenge Protein Structure Prediction Home About Newsletter Resources Facebook Twitter YouTube Pinterest Newsletter RSS Biology Chemistry Earth Health Physics Science Space Technology Hot Topics December 1, 2020 Major Scientific Advance: DeepMind AI AlphaFold Solves 50YearOld Grand Challenge Protein Structure Prediction December 1, 2020 Pets, Touch COVID19: Why Our Cats, Dogs Other Furry Friends Are Lifesavers December 1, 2020 Analysis Coroners Reports Raises Warning: Swallowing AlcoholBased Hand Sanitizer Can Kill December 1, 2020 New Atlas Universe Created ludes Million Galaxies Weve Never Seen Before December 1, 2020 Suction Thrust ManyLimbed Marine Organisms Dont Actually Push Themselves Forward Swim for: Home Biology News Major Scientific Advance: DeepMind AI AlphaFold Solves 50YearOld Grand Challenge Protein Structure Prediction TOPICS:Artificial IntelligenceBiochemistryBioinformaticsBiotechnology By DeepMind December 1, 2020 Two examples protein targets free modeling category. AlphaFold predicts highly accurate structures measured experimental result. Credit: DeepMind DeepMind develops AI solution 50yearold protein challenge, creating potential accelerate biological research. In major scientific advance, latest version DeepMinds AI AlphaFold recognized solution 50yearold grand challenge protein structure prediction, referred protein folding problem, according rigorous independent assessment. This breakthrough significantly accelerate biological research long term, unlocking new possibilities disease understanding drug discovery fields. Today, results CASP14 DeepMinds latest AlphaFold achieves unparalleled levels accuracy structure prediction. The able determine highlyaccurate structures matter days. CASP, Critical Assessment protein Structure Prediction, biennial communityrun assessment started 1994, gold standard assessing predictive techniques. Participants blindly predict structure proteins recently cases experimentally determined, wait predictions compared experimental data. CASP uses Global Distance Test GDT metric assess accuracy, ranging 0100. The new AlphaFold achieves median score 92.4 GDT overall targets. The systems average error approximately 1.6 Angstroms width atom. According Professor John Moult, Cofounder Chair CASP, score 90 GDT informally considered competitive results obtained experimental methods. Professor John Moult, CoFounder Chair CASP, University Maryland said: We stuck problem proteins fold nearly 50 years. To DeepMind produce solution this, worked personally problem long stops starts wondering wed there, special moment. Why protein structure prediction matters Proteins essential life shapes closely linked functions. The ability predict protein structures accurately enables better understanding work. There currently 200 million proteins main database fraction 3D structures mapped out. A major challenge astronomical number ways protein theoretically fold settling final 3D structure. Many greatest challenges facing society, like developing treatments diseases finding enzymes break industrial waste, fundamentally tied proteins role play. Determining protein shapes functions major field scientific research, primarily experimental techniques years painstaking laborious work structure, require use multimillion dollar specialised equipment. DeepMinds approach protein folding problem This breakthrough builds DeepMinds entry CASP13 2018, initial version AlphaFold achieved highest level accuracy participants. Now, DeepMind developed new deep learning architectures CASP14, drawing inspiration fields biology, physics, machine learning, work scientists protein folding field past halfcentury. A folded protein thought spatial graph, residues nodes edges connect residues close proximity. This graph important understanding physical interactions proteins, evolutionary history. For latest version AlphaFold CASP14, DeepMind created attentionbased neural network system, trained endtoend, attempts interpret structure graph, reasoning implicit graph building. It uses evolutionarily related sequences, multiple sequence alignment MSA, representation amino acid residue pairs refine graph. By iterating process, develops strong predictions underlying physical structure protein. Additionally, AlphaFold predict parts predicted protein structure reliable internal confidence measure. The trained publicly available data consisting 170,000 protein structures protein data bank, relatively modest compute modern machine learning standards approximately 128 TPUv3cores roughly equivalent 100200 GPUs run weeks. Potential real world impact DeepMind excited collaborate learn AlphaFolds potential, AlphaFold team looking protein structure predictions contribute understanding certain diseases specialist groups. There signs protein structure prediction useful future pandemic response efforts, tools developed scientific community. Earlier year, DeepMind predicted protein structures SARSCoV2 virus, impressively quick work experimentalists confirmed AlphaFold achieved high degree accuracy predictions. AlphaFold DeepMinds significant advances date. But scientific research, theres done, including figuring multiple proteins form complexes, interact DNA, RNA, small molecules, determine precise location amino acid chains. As earlier CASP13 AlphaFold system, DeepMind planning submit paper detailing workings peerreviewed journal course, simultaneously exploring best provide broader access scalable way. AlphaFold breaks new ground demonstrating stunning potential AI tool aid fundamental scientific discovery. DeepMind looks forward collaborating unlock potential. Statements independent scientists: Professor Venki Ramakrishnan, Nobel Laureate President Royal Society This computational work represents stunning advance proteinfolding problem, 50year old grand challenge biology. It occurred decades people field predicted. It exciting ways fundamentally change biological research. Professor Dame Janet Thornton, Director Emeritus Senior Scientist, EMBLEBI What DeepMind team managed achieve fantastic change future structural biology protein research. After decades studying proteins, molecules provide structure functions living things, I awoke morning feeling progress made. Arthur D. Levinson, PhD, Founder CEO Calico, Former Chairman CEO, Genentech AlphaFold generation advance, predicting protein structures incredible speed precision. This leap forward demonstrates computational methods poised transform research biology hold promise accelerating drug discovery process. Professor Andrei Lupas, Director, Max Planck Institute Developmental Biology AlphaFolds astonishingly accurate models allowed solve protein structure stuck close decade, relaunching effort understand signals transmitted cell membranes. Professor Ewan Birney, Deputy Director General EMBL, Director EMBLEBI I nearly fell chair I saw results. I know rigorous CASP basically ensures computational modelling perform challenging task abinitio protein folding. It humbling models accurately. There aspects understand huge advance science. Statements DeepMind Alphabet: Demis Hassabis, PhD, Founder CEO, DeepMind The ultimate vision DeepMind build AI use help knowledge world accelerating pace scientific discovery. For AlphaFold represents proof point thesis. This advance major breakthrough longstanding grand challenge science, hope big realworld impact disease understanding drug discovery. Pushmeet Kohli, PhD, Head AI Science, DeepMind These incredible results testament DeepMinds unique research philosophy bringing missionfocused, multidisciplinary teams target ambitious scientific goals. Critical assessments like CASP important driving research progress, look forward building work, deepening understanding proteins biological mechanisms, opening new avenues exploration. John Jumper, PhD, AlphaFold Lead, DeepMind Protein biology fantastically complex defies simple characterisation. Our teams work demonstrates machine learning techniques finally able meet complexity describing incredible protein machines, truly excited new breakthroughs human health fundamental biology bring. Kathryn Tunyasuvunakool, PhD, Science Engineer, DeepMind The ability predict high accuracy protein structures AI change approach biology, potential applications drug design bioremediation. Particularly experimentally challenging proteins, good predictive techniques huge difference. Sundar Pichai, CEO, Google Alphabet This incredible AIpowered breakthrough protein folding, help better understand lifes fundamental building blocks. This huge leap forward DeepMind immediate practical implications, enabling researchers tackle new difficult problems, future pandemic response environmental sustainability. Read DeepMind AI Solution 50YearOld Science Challenge Could Revolutionize Medical Research topic. About DeepMind DeepMind multidisciplinary team scientists, engineers, machine learning experts more, working research build safe AI systems learn solve problems advance scientific discovery all. Bestknown developing AlphaGo, program beat world champion complex game Go, DeepMind published 1000 research papers including dozen Nature Science achieved breakthrough results challenging AI domains StarCraft II protein folding. DeepMind founded London 2010, joined forces Google 2014 accelerate work. Since then, community expanded include teams Alberta, Montreal, Paris, Mountain View California. SHARE TWEET PIN SHARE Previous post More SciTechDaily Technology DeepMind AI Solution 50YearOld Science Challenge Could Revolutionize Medical Research Biology Researchers Identify Key Element Behind Protein Misfolding Physics Theorists Show How Energy Landscapes Dominate Both Evolution Folding Proteins Chemistry MIT Chemist Investigates How Diseases Are Linked Flawed Protein Folding Biology Strange, Extremely Disordered Proteins Are Heroes Disguise Protect Other Proteins Biology EnhancedSensitivity NMR Reveals New Details Protein Structure Biology DnaK Identified Key Player Protein Folding Chemistry MIT Automated Tabletop Fast Protein Synthesis Machine May Accelerate Drug Development Be comment Major Scientific Advance: DeepMind AI AlphaFold Solves 50YearOld Grand Challenge Protein Structure Prediction Leave comment Cancel replyEmail address optional. If provided, email published shared.CommentName Email MUST enable javascript able comment SciTechDaily: Home best science technology news 1998. Keep latest scitech news email social media. Popular Articles November 29, 2020 Updated Periodic Table: Russian Scientists Propose New Way Ordering Elements The periodic table elements, principally created Russian chemist, Dmitry Mendeleev 18341907, celebrated 150th anniversary year. It hard Read More November 29, 2020 New Therapy Flu May Help Fight Against COVID19, HIV, Many Other Pathogenic Viruses November 29, 2020 Uncovering Mysteries Earths Primeval Atmosphere 4.5 Billion Years Ago Emergence Life November 29, 2020 Mitochondrial Changes Key Human Health Problems Space November 29, 2020 Like Leaf New Artificial Photosynthesis Method Capture CO2 Directly From Air Turn It Into Fuel November 29, 2020 Global Task Force Investigate Origins COVID19 Pandemic Ensure History Does Not Repeat November 28, 2020 Earth 16,000 MPH Faster, 2000 LightYears Closer Supermassive Black Hole Center Milky Way November 28, 2020 New COVID19 Research Provides Deep Insights Into Transmission Mutation Properties SARSCoV2 TagsAstronomy Astrophysics Behavioral Science Biochemistry Biotechnology Black Hole Cancer CassiniHuygens Mission Cell Biology Climate Change Cosmology COVID19 Disease Ecology European Southern Observatory European Space Agency Evolution Exoplanet Genetics Geology HarvardSmithsonian Center Astrophysics Harvard University Hubble Space Telescope Images Infectious Diseases JPL Mars Materials Science Max Planck Institute Medicine MIT Nanoscience Nanotechnology NASA NASA Goddard Space Flight Center Neurology Neuroscience Paleontology Particle Physics Planetary Science Popular Public Health Quantum Physics Virology Yale University Follow SciTechDailyFacebook Twitter YouTube Pinterest Newsletter RSS SciTech NewsBiology News Chemistry News Earth News Health News Physics News Science News Space News Technology News Latest News Major Scientific Advance: DeepMind AI AlphaFold Solves 50YearOld Grand Challenge Protein Structure Prediction Pets, Touch COVID19: Why Our Cats, Dogs Other Furry Friends Are Lifesavers Analysis Coroners Reports Raises Warning: Swallowing AlcoholBased Hand Sanitizer Can Kill New Atlas Universe Created ludes Million Galaxies Weve Never Seen Before Suction Thrust ManyLimbed Marine Organisms Dont Actually Push Themselves Forward Swim Editorial Board Science News Terms Use 1998 2020 SciTechDaily. . | 2,020 | [
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] | 1 | POSITIVE | 229 |
https://scientect.com/news/120491/global-artificial-intelligence-and-robotics-in-aerospace-and-defense-market-2020-to-2027-evolving-technology-and-growth-outlook-by-leading-players-types-application-end-users/ | 2020-08-17T00:00:00 | en | Global Artificial Intelligence and Robotics in Aerospace and Defense Market 2020 to 2027 – Evolving Technology and Growth Outlook By Leading Players, Types, Application/End Users – Scientect |
Global Artificial Intelligence and Robotics in Aerospace and Defense Market 2020 to 2027 – Evolving Technology and Growth Outlook By Leading Players, Types, Application/End Users – Scientect
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Global Artificial Intelligence and Robotics in Aerospace and Defense Market 2020 to 2027 – Evolving Technology and Growth Outlook By Leading Players, Types, Application/End Users
alex August 17, 2020
The Global Artificial Intelligence and Robotics in Aerospace and Defense Market has witnessed continuous growth in the past few years and is projected to grow a high CAGR during the forecast period 2020-2027.Global Marketers deals the most current distributed report on Global Artificial Intelligence and Robotics in Aerospace and Defense industry analysis and figure conveying key bits of knowledge and providing an upper hand to customers through a point by point report. The Global pandemic of COVID19 calls for redefining of business strategies.
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Major Players in Artificial Intelligence and Robotics in Aerospace and Defense Market are:
Intel Corporation
The Boeing Company
Lockheed Martin Corporation
Airbus SE
SITA
IBM
Nvidia Corporation
General Electric
Iris Automation Inc.
Thales SA
Geographically, the following regions together with the listed national markets are fully investigated: North America, United States, Canada, Mexico, Europe, Germany, UK, France, Italy, Spain, and Russia
The report also elaborates on the Artificial Intelligence and Robotics in Aerospace and Defense Market segments such as regions, Artificial Intelligence and Robotics in Aerospace and Defense types, and applications. The report renders the extensive analysis of each market segment, explaining how the segments have been performing over the last few years and how they will support the market to develop in the forthcoming years as well.
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The global Artificial Intelligence and Robotics in Aerospace and Defense Market is also anticipated to influence its peer and parent markets in terms of sales revenue in the future. The Artificial Intelligence and Robotics in Aerospace and Defense Market report delineates Artificial Intelligence and Robotics in Aerospace and Defense Industry influential factors such as emergent and future market trends, market restraining, driving, and limiting factors, changing market dynamics, and demand-supply ratios that hold the potential to pose direct impacts on the overall development of the global Artificial Intelligence and Robotics in Aerospace and Defense Market.
Do Inquiry Before Purchase @
https://www.globalmarketers.biz/report/others/2015-2027-global-artificial-intelligence-and-robotics-in-aerospace-and-defense-industry-market-research-report,-segment-by-player,-type,-application,-marketing-channel,-and-region/147616#inquiry_before_buying
Artificial Intelligence and Robotics in Aerospace and Defense Market Segmentation by Type:
Hardware
Software
Service
Artificial Intelligence and Robotics in Aerospace and Defense Market Segmentation by Application:
Military
Commercial Aviation
Space
Report Objectives
Analyzing the size of the global Artificial Intelligence and Robotics in Aerospace and Defense Market on the basis of value and volume
Exactly calculating the market shares and other vital factors of different segments of the global Artificial Intelligence and Robotics in Aerospace and Defense Market
Discovering the key dynamics of the global Artificial Intelligence and Robotics in Aerospace and Defense
Accent important trends of the global Artificial Intelligence and Robotics in Aerospace and Defense Market in terms of production, revenue, and sales
Deeply profiling top players of the global Artificial Intelligence and Robotics in Aerospace and Defense Market and display how they play in the industry
Studying manufacturing processes and costs, product pricing, and various trends related to them
Showing the performance of different regions and countries in the global Artificial Intelligence and Robotics in Aerospace and Defense Market
Forecasting the market size and share of all segments, regions, and the global market.
Table of Contents:
Chapter 1: Report Overview
Chapter 2: Global Artificial Intelligence and Robotics in Aerospace and Defense Market Growth Trends
Chapter 3: Value Chain of Artificial Intelligence and Robotics in Aerospace and Defense Market
Chapter 4: Artificial Intelligence and Robotics in Aerospace and Defense Market Players Profiles
Chapter 5: Global Artificial Intelligence and Robotics in Aerospace and Defense Market Analysis by Regions
Chapter 6: Global Artificial Intelligence and Robotics in Aerospace and Defense Market Segment by Types
Chapter 7: Global Artificial Intelligence and Robotics in Aerospace and Defense Market Segment by Applications
Chapter 8: List of Tables and Figures
Chapter 9: Appendix.
Get Full [email protected]
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| Global Artificial Intelligence and Robotics in Aerospace and Defense Market 2020 to 2027 | Global Artificial Intelligence Robotics Aerospace Defense Market 2020 2027 Evolving Technology Growth Outlook By Leading Players, Types, ApplicationEnd Users Scientect Skip content Menu Energy News Space Uncategorized for: Scientect Menu Energy News Space Uncategorized for: Flash News Global Talent Acquisition Software Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: CornerStone Demand, IBM, Oracle, SAP, WorkDay Carvone Market By Top Leading Players Paramount Aromachem, Renessenz, Gem Aromatics, Shree Bankey Behari Lal Aromatics Global Folklift Solid Tire Market 2020 Regional Overview, Key Players, Trends Forecast To 2027 Global Surgical Waste Management Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Stericycle, Sharps Compliance, Daniels Sharpsmart, Republic Services, AMB Ecosteryl, AP Medical Global Higher Education Mlearning Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Adobe Systems, Blackboard, D2L, LearnCast, Adrenna, Aptara Pain Management Market Global Demand, Research Top Leading Player 2025 Global Higher Education Gamebased Learning Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: McGrawHill Education, PlayGen, Toolwire, Totem Learning, Lumos Labs, Triseum Global Geographic Information System Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Esri, Hexagon, Pitney Bowes, Rolta India, MDA, Autodesk COVID19 Update: Spiral Membrane Market Competitive Strategies, Regional Analysis Forecast 2025 Toray Industries, Pall Corporation, Suez Water Technologies Solutions, Hydranautics Nitto Denko Corporation, Merck, LG Water Global Hfcs Hydrofluorocarbons Refrigerant Market Future Growth And Outlook 20202027 By Key Vendors, Types, End User, Sales channels Regional Demand Monday, August 17, 2020 News Global Artificial Intelligence Robotics Aerospace Defense Market 2020 2027 Evolving Technology Growth Outlook By Leading Players, Types, ApplicationEnd Users alex August 17, 2020 The Global Artificial Intelligence Robotics Aerospace Defense Market witnessed continuous growth past years projected grow high CAGR forecast period 20202027.Global Marketers deals current distributed report Global Artificial Intelligence Robotics Aerospace Defense industry analysis figure conveying key bits knowledge providing upper hand customers point point report. The Global pandemic ofCOVID19calls redefining business strategies. Download Comprehensive Artificial Intelligence Robotics Aerospace Defense Market Sample Copy Here Major Players Artificial Intelligence Robotics Aerospace Defense Market are: Intel Corporation The Boeing Company Lockheed Martin Corporation Airbus SE SITA IBM Nvidia Corporation General Electric Iris Automation . Thales SA Geographically, following regions listed national markets fully investigated: North America, United States, Canada, Mexico, Europe, Germany, UK, France, Italy, Spain, Russia The report elaborates Artificial Intelligence Robotics Aerospace Defense Market segments regions, Artificial Intelligence Robotics Aerospace Defense types, applications. The report renders extensive analysis market segment, explaining segments performing years support market develop forthcoming years well. Hurry Up Get Attractive Discount, Ask For Discount The global Artificial Intelligence Robotics Aerospace Defense Market anticipated influence peer parent markets terms sales revenue future. The Artificial Intelligence Robotics Aerospace Defense Market report delineates Artificial Intelligence Robotics Aerospace Defense Industry influential factors emergent future market trends, market restraining, driving, limiting factors, changing market dynamics, demandsupply ratios hold potential pose direct impacts overall development global Artificial Intelligence Robotics Aerospace Defense Market. Do Inquiry Before Purchase @ Artificial Intelligence Robotics Aerospace Defense Market Segmentation Type: Hardware Software Service Artificial Intelligence Robotics Aerospace Defense Market Segmentation Application: Military Commercial Aviation Space Report Objectives Analyzing size global Artificial Intelligence Robotics Aerospace Defense Market basis value volume Exactly calculating market shares vital factors different segments global Artificial Intelligence Robotics Aerospace Defense Market Discovering key dynamics global Artificial Intelligence Robotics Aerospace Defense Accent important trends global Artificial Intelligence Robotics Aerospace Defense Market terms production, revenue, sales Deeply profiling players global Artificial Intelligence Robotics Aerospace Defense Market display play industry Studying manufacturing processes costs, product pricing, trends related Showing performance different regions countries global Artificial Intelligence Robotics Aerospace Defense Market Forecasting market size share segments, regions, global market. Table Contents: Chapter 1: Report Overview Chapter 2: Global Artificial Intelligence Robotics Aerospace Defense Market Growth Trends Chapter 3: Value Chain Artificial Intelligence Robotics Aerospace Defense Market Chapter 4: Artificial Intelligence Robotics Aerospace Defense Market Players Profiles Chapter 5: Global Artificial Intelligence Robotics Aerospace Defense Market Analysis Regions Chapter 6: Global Artificial Intelligence Robotics Aerospace Defense Market Segment Types Chapter 7: Global Artificial Intelligence Robotics Aerospace Defense Market Segment Applications Chapter 8: List Tables Figures Chapter 9: Appendix. Get Full [emailprotected] Artificial Intelligence Robotics Aerospace Defense CAGRArtificial Intelligence Robotics Aerospace Defense Industry MarketArtificial Intelligence Robotics Aerospace Defense Industry SizeArtificial Intelligence Robotics Aerospace Defense Market 2020Artificial Intelligence Robotics Aerospace Defense Market AnalysisArtificial Intelligence Robotics Aerospace Defense Market Competitive landscapeArtificial Intelligence Robotics Aerospace Defense Market consumer researchArtificial Intelligence Robotics Aerospace Defense Market country reportsArtificial Intelligence Robotics Aerospace Defense Market DynamicsArtificial Intelligence Robotics Aerospace Defense Market ForecastArtificial Intelligence Robotics Aerospace Defense Market InsightsArtificial Intelligence Robotics Aerospace Defense Market OverviewArtificial Intelligence Robotics Aerospace Defense Market research companyArtificial Intelligence Robotics Aerospace Defense Market research reportsArtificial Intelligence Robotics Aerospace Defense Market RevenueArtificial Intelligence Robotics Aerospace Defense Market Segmentation ScopeArtificial Intelligence Robotics Aerospace Defense Market SizeArtificial Intelligence Robotics Aerospace Defense Market StatusArtificial Intelligence Robotics Aerospace Defense Market surveyArtificial Intelligence Robotics Aerospace Defense Market TrendsArtificial Intelligence Robotics Aerospace Defense Market Type ApplicationCOVID19 impact Artificial Intelligence Robotics Aerospace Defense MarketGlobal Artificial Intelligence Robotics Aerospace Defense IndustryGlobal Artificial Intelligence Robotics Aerospace Defense Industry AnalysisGlobal Artificial Intelligence Robotics Aerospace Defense MarketGlobal Artificial Intelligence Robotics Aerospace Defense Market business researchGlobal Artificial Intelligence Robotics Aerospace Defense Market competitor analysisGlobal Artificial Intelligence Robotics Aerospace Defense Market GrowthGlobal Artificial Intelligence Robotics Aerospace Defense Market Key playersGlobal Artificial Intelligence Robotics Aerospace Defense Market Share Post navigation Global Electronic Grades Isopropyl Alcohol Market 2020 COVID19 Effects Isu Chemical, Jiangsu Denoir Technology, Dow ChemicalDynamic Application Security TestingMarket Views: Taking A Nimble Approach To 2027 Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts Global Talent Acquisition Software Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: CornerStone Demand, IBM, Oracle, SAP, WorkDay Carvone Market By Top Leading Players Paramount Aromachem, Renessenz, Gem Aromatics, Shree Bankey Behari Lal Aromatics Global Folklift Solid Tire Market 2020 Regional Overview, Key Players, Trends Forecast To 2027 Global Surgical Waste Management Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Stericycle, Sharps Compliance, Daniels Sharpsmart, Republic Services, AMB Ecosteryl, AP Medical Global Higher Education Mlearning Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Adobe Systems, Blackboard, D2L, LearnCast, Adrenna, Aptara Recent CommentsPancreatic Cancer Therapy Market Research Clinical Advancements 2029 Eli Lilly, Roche, Pfizer, Merck, Celgene, Novartis, Amgen Scientect Nigeria Cancer Blog Pancreatic Cancer Therapy Market Research Clinical Advancements 2029 Eli Lilly, Roche, Pfizer, Merck, Celgene, Novartis, AmgenTelecom Electronic Manufacturing Services EMS Market Major Technology Giants Buzz Again Sovi Electronics Telecom Electronic Manufacturing Services EMS Market Major Technology Giants Buzz Again Flex Ltd., Jabil Circuit, ., Plexus Corp., Benchmark Electronics, ., Compal Electronics, .Tabitha Grannell Latest study focusing Total Carbon Analyzer Market upto 2025 Profiling Top Global Players like Shimadzu, Xylem, Hach, Teledyne Analytical Instruments, Analytik Jena, MettlerToledoArchives August 2020 July 2020 Categories Energy News Space Uncategorized Meta Log Entries feed Comments feed Proudly powered WordPress Theme: TimesNews By . 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] | 1 | POSITIVE | 230 |
https://dailyscience.me/2020/04/07/global-artificial-intelligence-in-bfsi-market-2020-service-providers-revenue-statistics-emerging-trends-strategy-demand-analysis-and-investment-opportunities-to-2026/ | 2020-04-07T00:00:00 | en | Global Artificial Intelligence in BFSI Market 2020: Service Providers, Revenue, Statistics, Emerging Trends, Strategy, Demand Analysis and Investment Opportunities to 2026 – Daily Science |
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Global Artificial Intelligence in BFSI Market 2020: Service Providers, Revenue, Statistics, Emerging Trends, Strategy, Demand Analysis and Investment Opportunities to 2026
April 7, 2020
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The Global Artificial Intelligence in BFSI Market is known to provide a comprehensive and detailed information of the keyword Market for the estimated forecast period. In addition, the report also analyses the overall growth of the market in the estimated forecast period. It also covers and determines the market growth and market share for the estimated forecast period. Moreover, the report provides in depth and detailed analysis for the market in the estimated time frame. It also covers and analyze several segments which are present in the market. Furthermore, detailed analysis is done to determine the competitive landscape of the market share, market size, for the estimated forecast period. The report is also known to cover detailed and in depth analysis of the major trends which are covered for the Global Artificial Intelligence in BFSI Market.
This study covers following key players:
Zimmer Biomet Holdings
AlphaSense
Brighterion
IBM
Ipsoft
Infosys
Inbenta Technologies
MicroStrategy
Google
Microsoft
Nvidia
Request a sample of this report @ https://www.orbisresearch.com/contacts/request-sample/4421582?utm_source=Birendra
The study is done with the help of analysis such as SWOT analysis and PESTEL analysis. SWOT analysis includes the study of Threats, weaknesses, strengths and opportunities that the Artificial Intelligence in BFSI Market. This method of market analysis gives the idea about the competitors and helps a vendor to identify the factors that will make them different from others. Whereas PESTEL analysis is the study concerning Economic, Technological, legal political, social, environmental matters. External factors affecting the market are determined by PESTEL analysis. PESTEL analysis making strategies and planning for all the types of business that may be opening a new company in a new location or an expansion of a product line.
There are different marketing strategies that every marketer looks up to in order to ace the competition in the Global market. Some of the primary marketing strategies that is needed for every business to be successful are Passion, Focus, Watching the Data, Communicating the value To Your Customers, Your Understanding of Your Target Market. There is a target set in market that every marketing strategy has to reach. The key players of Artificial Intelligence in BFSI industry, their product portfolio, market share, industry profiles are studied in this report.
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Market segment by Type, the product can be split into
Cloud
On-premise
Market segment by Application, split into
Machine Learning
Natural Language Processing
Image Processing & Video Recognition
Cognitive Computing
Others
The major market players are studied on the basis of gross margin, production volume, price structure, and market value. Adaptation of new ideas and accepting the latest trends are some the reasons for any market’s growth. The Artificial Intelligence in BFSI Market has its impact all over the globe. On global level Artificial Intelligence in BFSI industry is segmented on the basis of product type, applications, and regions. It also focusses on market dynamics, Artificial Intelligence in BFSI growth drivers, developing market segments and the market growth curve is offered based on past, present and future market data. The industry plans, news, and policies are presented at a global and regional level.
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| Global Artificial Intelligence in BFSI Market 2020: Service Providers, Revenue, Statistics, Emerging Trends, Strategy, Demand Analysis and Investment Opportunities to 2026 | Global Artificial Intelligence BFSI Market 2020: Service Providers, Revenue, Statistics, Emerging Trends, Strategy, Demand Analysis Investment Opportunities 2026 Daily Science Daily Science Science Market Research Menu Menu Market Reports Science News Industry Analytics Industry Reports Market Outlook Business Opportunity Emerging Trends Growth Prospects Market Study Global Artificial Intelligence BFSI Market 2020: Service Providers, Revenue, Statistics, Emerging Trends, Strategy, Demand Analysis Investment Opportunities 2026 April 7, 2020 No Comments The Global Artificial Intelligence BFSI Market known provide comprehensive detailed information keyword Market estimated forecast period. In addition, report analyses overall growth market estimated forecast period. It covers determines market growth market share estimated forecast period. Moreover, report provides depth detailed analysis market estimated time frame. It covers analyze segments present market. Furthermore, detailed analysis determine competitive landscape market share, market size, estimated forecast period. The report known cover detailed depth analysis major trends covered Global Artificial Intelligence BFSI Market. This study covers following key players: Zimmer Biomet Holdings AlphaSense Brighterion IBM Ipsoft Infosys Inbenta Technologies MicroStrategy Google Microsoft Nvidia Request sample report @ The study help analysis SWOT analysis PESTEL analysis. SWOT analysis includes study Threats, weaknesses, strengths opportunities Artificial Intelligence BFSI Market. This method market analysis gives idea competitors helps vendor identify factors different others. Whereas PESTEL analysis study concerning Economic, Technological, legal political, social, environmental matters. External factors affecting market determined PESTEL analysis. PESTEL analysis making strategies planning types business opening new company new location expansion product line. There different marketing strategies marketer looks order ace competition Global market. Some primary marketing strategies needed business successful Passion, Focus, Watching Data, Communicating value To Your Customers, Your Understanding Your Target Market. There target set market marketing strategy reach. The key players Artificial Intelligence BFSI industry, product portfolio, market share, industry profiles studied report. Access Complete Report @ Market segment Type, product split Cloud Onpremise Market segment Application, split Machine Learning Natural Language Processing Image Processing Video Recognition Cognitive Computing Others The major market players studied basis gross margin, production volume, price structure, market value. Adaptation new ideas accepting latest trends reasons markets growth. The Artificial Intelligence BFSI Market impact globe. On global level Artificial Intelligence BFSI industry segmented basis product type, applications, regions. It focusses market dynamics, Artificial Intelligence BFSI growth drivers, developing market segments market growth curve offered based past, present future market data. The industry plans, news, policies presented global regional level. For Enquiry buying report @ : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Author Recent Posts vaibhav Latest posts vaibhav Global ISO Certification Market 2025 Top Manufacturers : Bureau Veritas, DNV GL AS International Standards Certifications Global FZ, SGS, Lloyds Group Services, Intertek, The British Standards Institution April 7, 2020 Global Integration Orchestration Middleware Market 2025 Top Manufacturers : OpenText Corporation, Infor, Covisint, IBM Corporation, Oracle Corporation, TIBCO Software . April 7, 2020 Global ERetail ETailing Market 2025 Top Manufacturers : Alibaba, Amazon, eBay, JD, Rakuten, WalMart April 7, 2020 Tags: Artificial Intelligence BFSI Market, Artificial Intelligence BFSI Market 2019, Artificial Intelligence BFSI Market 2020, Artificial Intelligence BFSI Market Analysis, Artificial Intelligence BFSI Market Business Development, Artificial Intelligence BFSI Market Forecast, Artificial Intelligence BFSI Market Research Analysis, Artificial Intelligence BFSI Market Research Report, Artificial Intelligence BFSI Market Trends, China Artificial Intelligence BFSI Market, Global Artificial Intelligence BFSI Market 2020, World Artificial Intelligence BFSI Market Post navigation Global Active Network Management Market 2020: Value, Components, Technology, Installation Base, Leading Players Financial Comparison Forecast till 2026 Global Autoimmune Disorders Treatment Market 2020: Type, Applications, Services, Investment, Industry Statistics, Emerging Trends Regional Opportunities 2026 About contact About Disclaimer Our Writers Recent Posts Global ISO Certification Market 2025 Top Manufacturers : Bureau Veritas, DNV GL AS International Standards Certifications Global FZ, SGS, Lloyds Group Services, Intertek, The British Standards Institution Global Integration Orchestration Middleware Market 2025 Top Manufacturers : OpenText Corporation, Infor, Covisint, IBM Corporation, Oracle Corporation, TIBCO Software . Global ERetail ETailing Market 2025 Top Manufacturers : Alibaba, Amazon, eBay, JD, Rakuten, WalMart Transformer Services Market Recent Industry Trends Projected Industry Growth 2027 Global Indoor Location Technology Market 2025 Top Manufacturers : Apple, Broadcom, Cisco, Ericsson, GeoMoby, Google Global ELearning Services Market 2025 Top Manufacturers : Kineo, Allen Communication, Cegos, GP Strategies, Skillsoft, Pearson Global Development Operations DevOps Market 2025 Top Manufacturers : CA Technologies, IBM Corporation, EMC Corporation, Cisco Systems, ., Docker Percutaneous Transhepatic Cholangiography Market: Recent Industry Trends Projected Industry Growth, 2019 2030 Global Business Analytics Software Market 2025 Top Manufacturers : Oracle Corporation, SAS Institute, SAP SE, IBM, Microsoft Corporation, Adobe Systems orporated Silicon Photonic Market Forecast Growth 2025 ClOSE SIDEBAR OPEN SIDEBAR Daily Science 2019 Sendy review 2020 | 2,020 | [
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https://www.expresscomputer.in/news/quantarium-hopes-to-disrupt-real-estate-valuation-market-with-its-real-ai-solutions/59767/ | 2020-07-06T00:00:00 | en | Quantarium hopes to disrupt real estate valuation market with its real AI solutions - Express Computer | Quantarium hopes to disrupt real estate valuation market with its real AI solutions - Express Computer Express Computer Likes Followers Subscribers Followers Likes Followers Followers Followers Sign in / Join Welcome, Login to your account. Forget password? Remember me Login with your Social ID No account? Sign Up Sign in Recover your password.A password will be e-mailed to you. Monday, July 6, 2020HomeDigital IssueAdvertise With UsAbout UsContact UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD & HOSPITALITYEF&H EXPOPrivacy PolicyTechnology and IT Bloggers – Earn Money Express Computer - Digital Magazine, Latest Computer Magazine, India Advertisement HomeRPAAIBig Data / AnalyticsBlockchainCloudData CenterIoTMobilityNetworkingOpen SourceSecuritySoftwareStorageUCNewseGov WatchInterviewsEditorialsFeaturesGuest BlogsColumnsCase StudiesIndustriesBFSIEducationStartupEventsUpcoming EventsVideosEvent VideosDigital TechSenatePharma & Healthcare TrackEducation TrackRetail, ECommerce & QSR TrackBFSI TrackTechnology SabhaTechnology SenateBFSI Tech ConclaveEmerging Tech ConclaveSmart Manufacturing ConclaveHITSExclusive InterviewsFireside ChatWebinarsWeekly WrapUpDigital Transformation SeriesDigital MasterclassCXO BytesEC BuzzExplainer VideosTestimonialsSlideshowsDownloadsWhitepaperE-book Home » News » Quantarium hopes to disrupt real estate valuation market with its real AI solutions Quantarium hopes to disrupt real estate valuation market with its real AI solutionsNewsCovid 19 By Express Computer On Jul 5, 2020 0 67 Share Read Article How do you estimate how much your house is worth? Want to buy a new house? Besides common people, property dealers or banks and even real estate agents find it tough to value a property as not every attribute that can determine the price of a real estate asset is captured. Here is where Quantarium hopes to make a difference with AI driven real estate intelligence. Express Computer spoke to Clement Ifrim, CEO of Quantarium to discuss the relevance of AI for the real estate marketWhat was the inspiration behind creating Quantarium? Quantarium was born of a quest. My colleague and friend John Smintina and I were in the technology field and decided to try our hand at real estate investing; when we embarked on that journey, we realized that the models used to do basic things- including valuing a house- were not sophisticated; John realized that his background in genetic computation and programming could lay the foundations for an algorithmic and AI-driven set of methodologies. Fast-forward to 2020 and we can properly claim to be a leading and innovative player in the burgeoning space of Real Estate AI.So is Quantarium your first entrepreneurial expression? Indeed it is not but in some ways it’s the most profound. Right out of the gates, we were able to develop the highest-ranking Automated Valuation Model (AVM) available and today continue to enjoy that mantle. What’s most amazing, however, is how the team has surrounded the customer and built solutions of lasting and deeply practical – and contextual- value to a variety of buyers. To make a difference as a player in the world’s largest asset class is, for us, the realization of a dream.We hear a lot about AI but we find that much of it is hype. Help us understand a bit about hype versus reality Yes, we like to say we have “Real AI” not “Rhetorical AI.” AI, Data, and Context are all bound together. Deeply verticalized solutions are important because specificity and context is essential in making AI practical and not ethereal or theoretical. As our CMO put it, Vertical AI is the “New Black.”Data, Data, Data. Isn’t that the name of the game here? Yes and no. Without data and consistent data models, our solutions don’t work. Data is multifarious- it comes from a variety of places, some public, others private and all necessary. Ingesting data, contextualizing it, and acting on it in a timely fashion- that’s the name of the game. So we rejoice at our simultaneous speed and scale. But yes, data is necessary though not sufficient. You need intelligence and wisdom to learn from it.Clement, you are known in the industry as a team-first CEO. Can you tell us a bit about how that evolved? There is no Quantarium without the people of Quantarium. Sure, we have IP and we have customers. But it is the team whose incredible ideas and constant “discomfort” with the status-quo that drives us forward. We have some of the most profound talent in the industry at Quantarium- from Data Scientists to Engineers, from Marketers to Sales Teams, from Entrepreneurs to Thinkers- we are lucky. Much of my time is spent talking to team members. I grow through that and hope to give some of their wisdom back, in other forms. If you have an interesting article / experience / case study to share, please get in touch with us at [email protected]Advertisement Quantarium 0 67 Share Get real time updates directly on you device, subscribe now. Subscribe Express Computer Express Computer is one of India's most respected IT media brands and has been in publication for 24 years running. We cover enterprise technology in all its flavours, including processors, storage, networking, wireless, business applications, cloud computing, analytics, green initiatives and anything that can help companies make the most of their ICT investments. 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| Quantarium hopes to disrupt real estate valuation market with its real AI solutions | Quantarium hopes disrupt real estate valuation market real AI solutions Express Computer Express Computer Likes Followers rs Followers Likes Followers Followers Followers Sign Join Welcome, account. Forget password? Remember Social ID No account? Sign Up Sign Recover password.A password emailed you. Monday, July 6, 2020HomeDigital IssueAdvertise With Us UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD HOSPITALITYEFH EXPOTechnology IT Bloggers Earn Money Express Computer Digital Magazine, Latest Computer Magazine, India Advertisement HomeRPAAIBig Data AnalyticsBlockchainCloudData CenterIoTMobilityNetworkingOpen SourceSecuritySoftwareStorageUCNewseGov WatchInterviewsEditorialsFeaturesGuest BlogsColumnsCase StudiesIndustriesBFSIEducationStartupEventsUpcoming EventsVideosEvent VideosDigital TechSenatePharma Healthcare TrackEducation TrackRetail, ECommerce QSR TrackBFSI TrackTechnology SabhaTechnology SenateBFSI Tech ConclaveEmerging Tech ConclaveSmart Manufacturing ConclaveHITSExclusive InterviewsFireside ChatWebinarsWeekly WrapUpDigital Transformation SeriesDigital MasterclassCXO BytesEC BuzzExplainer VideosTestimonialsSlideshowsDownloadsWhitepaperEbook Home News Quantarium hopes disrupt real estate valuation market real AI solutions Quantarium hopes disrupt real estate valuation market real AI solutionsNewsCovid 19 By Express Computer On Jul 5, 2020 0 67 Share Read Article How estimate house worth? Want buy new house? Besides common people, property dealers banks real estate agents tough value property attribute determine price real estate asset captured. Here Quantarium hopes difference AI driven real estate intelligence. Express Computer spoke Clement Ifrim, CEO Quantarium discuss relevance AI real estate marketWhat inspiration creating Quantarium? Quantarium born quest. My colleague friend John Smintina I technology field decided try hand real estate investing; embarked journey, realized models basic things including valuing house sophisticated; John realized background genetic computation programming lay foundations algorithmic AIdriven set methodologies. Fastforward 2020 properly claim leading innovative player burgeoning space Real Estate AI.So Quantarium entrepreneurial expression? Indeed ways profound. Right gates, able develop highestranking Automated Valuation Model AVM available today continue enjoy mantle. Whats amazing, however, team surrounded customer built solutions lasting deeply practical contextual value variety buyers. To difference player worlds largest asset class is, us, realization dream.We hear lot AI hype. Help understand bit hype versus reality Yes, like Real AI Rhetorical AI. AI, Data, Context bound together. Deeply verticalized solutions important specificity context essential making AI practical ethereal theoretical. As CMO it, Vertical AI New Black.Data, Data, Data. Isnt game here? Yes no. Without data consistent data models, solutions dont work. Data multifarious comes variety places, public, private necessary. Ingesting data, contextualizing it, acting timely fashion thats game. So rejoice simultaneous speed scale. But yes, data necessary sufficient. You need intelligence wisdom learn it.Clement, known industry teamfirst CEO. Can tell bit evolved? There Quantarium people Quantarium. Sure, IP customers. But team incredible ideas constant discomfort statusquo drives forward. We profound talent industry Quantarium Data Scientists Engineers, Marketers Sales Teams, Entrepreneurs Thinkers lucky. Much time spent talking team members. I grow hope wisdom back, forms. If interesting article experience case study share, touch [emailprotected]Advertisement Quantarium 0 67 Share Get real time updates directly device, subscribe now. Express Computer Express Computer Indias respected IT media brands publication 24 years running. We cover enterprise technology flavours, including processors, storage, networking, wireless, business applications, cloud computing, analytics, green initiatives help companies ICT investments. 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https://nysenewstimes.com/artificial-intelligence-in-radiology-market-2019-growth-strategies-opportunity-challenges-rising-trends-and-revenue-analysis-2025/ | 2020-03-02T00:00:00 | en | Artificial Intelligence in Radiology Market 2019 Growth Strategies, Opportunity, Challenges, Rising Trends and Revenue Analysis 2025 – Nyse News Times |
Artificial Intelligence in Radiology Market 2019 Growth Strategies, Opportunity, Challenges, Rising Trends and Revenue Analysis 2025 – Nyse News Times
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Artificial Intelligence in Radiology Market 2019 Growth Strategies, Opportunity, Challenges, Rising Trends and Revenue Analysis 2025
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Artificial Intelligence in Radiology Market Size
Artificial Intelligence in Radiology Market: Global Size, Trends, Competitive, Historical & Forecast Analysis, 2019-2025– Increasing adoption of new technologies and smart solutions with the help of artificial intelligence is the next revolution in patient care driving the market growth.
Global Artificial Intelligence in Radiology Market is valued at USD 21.5 Million in 2018 and expected to reach USD 181.1 Million by 2025 with a CAGR of 35.9% over the forecast period.
Scope of Artificial Intelligence in Radiology Market Report–
Artificial intelligence also known as machine intelligence is a branch of computer science that works to create intelligent machines. The use of artificial intelligence has been rapidly progressing in medicine, particularly in radiology. In radiology, it is used to identify the onset of diseases at early stage and enable to plan the treatment for long term needs and offer the highest level of accuracy. AI is used in medical field as clinical decision support and information management (for both physician as well as patients) and can modify the practice of radiology in processes such as detection & prioritization, monitoring & registration, image acquisition and reporting. This technology can be used to analyze medical imaging solutions to identify most effective solution for acute abnormalities across both human as well as animal bodies. It can add a layer of precision and consistency to the search for anomalies if something goes unnoticed. Time sensitive cases like stroke treatments can be diagnosed faster by operating AI systems. The challenges in this field now become identifying opportunities for reducing inefficiencies in radiology workflow through AI integration.
Artificial intelligence in radiology market report is segmented on the basis of radiology type, application, technique and region & country level. Based upon radiology type, artificial intelligence in radiology market is segmented into mammography, chest imaging, neurology, colonography, cardiovascular, head CT scan and rest of the body. Based on application, the market is segmented into computer-aided diagnosis, clinical decision support, quantitative analysis tools, and computer-aided detection. Based upon technique, artificial intelligence in radiology market is segmented into x-rays, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, potential emission tomography (PET) and others.
The regions covered in this artificial intelligence in radiology market report are North America, Europe, Asia-Pacific, Latin America, Middle East and Africa. On the basis of country level, the market of artificial intelligence in radiology is sub divided into U.S., Mexico, Canada, U.K., France, Germany, Italy, China, Japan, India, South East Asia, Middle East Asia (UAE, Saudi Arabia, Egypt) GCC, Africa, etc.
Key Players–
Some major key players for artificial intelligence in radiology market are AI Technologies Ltd., Enlitic, Inc., EnvoyAI, Freenome Inc., Gleamer Ltd., IBM Corporation and others.
Get Discount:https://brandessenceresearch.com/DiscountOffers/RequestOffer/307
Market Dynamics-
The artificial intelligence in radiology market is driven by the factors such as use of machine learning technology in diagnostic imaging along with the increasing use of quantitative imaging and biomarkers imaging in clinical practices. Apart from making radiologists more productive and efficient, AI and machine learning are likely to improve the experience of patients throughout imaging process. Market players are coming up with new image acquisition hardware along with embedded AI technologies. Core structure such as computing and storage devices, networking has also improved in performance with current technical advancements. Additionally, increase in the use of AI beyond image analysis like practice management, quality assurance and improvements in the performance of deep learning algorithms over early generation of AI are the factors that are also supporting the market growth. However, the factors such as slow regulatory approval process, lack of real-world confirmation to validate the economic benefits and the return on investment, and long sales & implementation cycles may hamper the market growth.
Moreover, offering speed, accuracy and quality of image interpretation and diagnosis in radiology creating new revenue opportunities for the market. Also, advances in computing and rapid changes in medical industry accelerating the innovations and huge R&D developments are fuelling the future growth of the market.
Regional Analysis-
The artificial intelligence in radiology market by region is segmented into North America, Europe, Asia-Pacific, Latin America, Middle East and Africa. North America has captured the largest market share and is expected to continue the same over the forecast period owing to the well-established healthcare and medicine systems that supports the use of new technologies in this region. Startups receiving the most investors’ attention in AI due to which the market in North America is anticipated to observe high growth. The national institutes of health (NIH) held a workshop to explore the future of AI in medical imaging in which they found imaging research laboratories are swiftly generating machine learning systems that achieve expert human performance using open source methods and tools shows R&D developments in North America. Asia-Pacific countries are expected to show fast growth in the forthcoming years because of the growing technologies in imaging and biotechnology sectors and Government initiatives & increasing healthcare expenditures. In addition to this, presence of large number of patients and population pool will foster the market growth in this region within the forecast period. Based on the size of its population and huge volume of accessible digital medical data, china has significant advantage in developing medical AI and thus emerging as a popular hub for healthcare AI in radiology.
Key Benefits for Market Report–
Artificial Intelligence in Radiology Market report covers in-depth historical and forecast analysis.
Artificial Intelligence in Radiology Market research report provides detail information about Market Introduction, Market Summary, Global market Revenue (Revenue USD), Market Drivers, Market Restraints, Market Opportunities, Competitive Analysis, Regional and Country Level.
Artificial Intelligence in Radiology Market report helps to identify opportunities in marketplace.
Artificial Intelligence in Radiology Market report covers extensive analysis of emerging trends and competitive landscape.
Market Segmentation:
By Radiology Type:
Mammography
Chest Imaging
Neurology
Colonography
Cardiovascular
Head CT Scan
Rest of the body
By Application:
Computer-aided Diagnosis
Clinical Decision Support
Quantitative Analysis Tools
Computer-aided Detection
By Technique:
X-rays
Computed Tomography (CT)
Magnetic Resonance Imaging (MRI)
Ultrasound
Positron Emission Tomography (PET)
Others
Get Full Report at:https://brandessenceresearch.com/healthcare/artificial-intelligence-in-radiology
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| Artificial Intelligence in Radiology Market 2019 Growth Strategies, Opportunity, Challenges, Rising Trends and Revenue Analysis 2025 | Artificial Intelligence Radiology Market 2019 Growth Strategies, Opportunity, Challenges, Rising Trends Revenue Analysis 2025 Nyse News Times Skip content Monday, March 02, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Industry Analysis Industry Reports Market Analysis Market Research Technology Artificial Intelligence Radiology Market 2019 Growth Strategies, Opportunity, Challenges, Rising Trends Revenue Analysis 2025 [emailprotected] March 2, 2020 No Comments Artificial Intelligence Radiology Market Size Artificial Intelligence Radiology Market: Global Size, Trends, Competitive, Historical Forecast Analysis, 20192025 reasing adoption new technologies smart solutions help artificial intelligence revolution patient care driving market growth. Global Artificial Intelligence Radiology Market valued USD 21.5 Million 2018 expected reach USD 181.1 Million 2025 CAGR 35.9 forecast period. Scope Artificial Intelligence Radiology Market Report Artificial intelligence known machine intelligence branch science works create intelligent machines. The use artificial intelligence rapidly progressing medicine, particularly radiology. In radiology, identify onset diseases early stage enable plan treatment long term needs offer highest level accuracy. AI medical field clinical decision support information management physician patients modify practice radiology processes detection prioritization, monitoring registration, image acquisition reporting. This technology analyze medical imaging solutions identify effective solution acute abnormalities human animal bodies. It add layer precision consistency search anomalies goes unnoticed. Time sensitive cases like stroke treatments diagnosed faster operating AI systems. The challenges field identifying opportunities reducing inefficiencies radiology workflow AI integration. Artificial intelligence radiology market report segmented basis radiology type, application, technique region country level. Based radiology type, artificial intelligence radiology market segmented mammography, chest imaging, neurology, colonography, cardiovascular, head CT scan rest body. Based application, market segmented computeraided diagnosis, clinical decision support, quantitative analysis tools, computeraided detection. Based technique, artificial intelligence radiology market segmented xrays, computed tomography CT, magnetic resonance imaging MRI, ultrasound, potential emission tomography PET others. The regions covered artificial intelligence radiology market report North America, Europe, AsiaPacific, Latin America, Middle East Africa. On basis country level, market artificial intelligence radiology sub divided U.S., Mexico, Canada, U.K., France, Germany, Italy, China, Japan, India, South East Asia, Middle East Asia UAE, Saudi Arabia, Egypt GCC, Africa, etc. Key Players Some major key players artificial intelligence radiology market AI Technologies Ltd., Enlitic, ., EnvoyAI, Freenome ., Gleamer Ltd., IBM Corporation others. Get Discount: Market Dynamics The artificial intelligence radiology market driven factors use machine learning technology diagnostic imaging increasing use quantitative imaging biomarkers imaging clinical practices. Apart making radiologists productive efficient, AI machine learning likely improve experience patients imaging process. Market players coming new image acquisition hardware embedded AI technologies. Core structure computing storage devices, networking improved performance current technical advancements. Additionally, increase use AI image analysis like practice management, quality assurance improvements performance deep learning algorithms early generation AI factors supporting market growth. However, factors slow regulatory approval process, lack realworld confirmation validate economic benefits return investment, long sales implementation cycles hamper market growth. Moreover, offering speed, accuracy quality image interpretation diagnosis radiology creating new revenue opportunities market. Also, advances computing rapid changes medical industry accelerating innovations huge RD developments fuelling future growth market. Regional Analysis The artificial intelligence radiology market region segmented North America, Europe, AsiaPacific, Latin America, Middle East Africa. North America captured largest market share expected continue forecast period owing wellestablished healthcare medicine systems supports use new technologies region. Startups receiving investors attention AI market North America anticipated observe high growth. The national institutes health NIH held workshop explore future AI medical imaging imaging research laboratories swiftly generating machine learning systems achieve expert human performance open source methods tools shows RD developments North America. AsiaPacific countries expected fast growth forthcoming years growing technologies imaging biotechnology sectors Government initiatives increasing healthcare expenditures. In addition this, presence large number patients population pool foster market growth region forecast period. Based size population huge volume accessible digital medical data, china significant advantage developing medical AI emerging popular hub healthcare AI radiology. Key Benefits Market Report Artificial Intelligence Radiology Market report covers indepth historical forecast analysis. Artificial Intelligence Radiology Market research report provides information Market Introduction, Market Summary, Global market Revenue Revenue USD, Market Drivers, Market Restraints, Market Opportunities, Competitive Analysis, Regional Country Level. Artificial Intelligence Radiology Market report helps identify opportunities marketplace. Artificial Intelligence Radiology Market report covers extensive analysis emerging trends competitive landscape. Market Segmentation: By Radiology Type: Mammography Chest Imaging Neurology Colonography Cardiovascular Head CT Scan Rest body By Application: Computeraided Diagnosis Clinical Decision Support Quantitative Analysis Tools Computeraided Detection By Technique: Xrays Computed Tomography CT Magnetic Resonance Imaging MRI Ultrasound Positron Emission Tomography PET Others Get Full Report at: Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Global Cast Polymers Market Prophesied To Grow At A Faster Pace By 2026Next Next post: Global Boat Indicator Market Prophesied To Grow At A Faster Pace By 2026 Recent Posts Now Available Worldwide Water Treatment Market Report 20192027 Butyl Rubber Market 2020 Industry Price Trend, Size Estimation, Industry Outlook, Business Growth, Report Latest Research, Business Analysis Forecast 2025 Subscription Billing Management Market : Report analyzes segments provides relative contribution development Global Anthracite Market: Massive Growth Opportunities, Forecast 2026 Global Vascular Surgery Minimally Invasive Surgical Instruments Market Is Expecting Revolutionary Growth 2020, Coming Years Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top | 2,020 | [
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Artificial Intelligence – Transforming the future of Healthcare Industry Value, Cost or Profit 2020-2027 Forecasts – Monroe Scoop
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Artificial Intelligence – Transforming the future of Healthcare Industry Value, Cost or Profit 2020-2027 Forecasts
March 16, 2020March 16, 2020 [email protected] Artificial Intelligence - Transforming the future of Healthcare, Artificial Intelligence - Transforming the future of Healthcare Industry Analysis, Artificial Intelligence - Transforming the future of Healthcare Market, Artificial Intelligence - Transforming the future of Healthcare Market Analysis, Artificial Intelligence - Transforming the future of Healthcare Market Insights, Artificial Intelligence - Transforming the future of Healthcare Market Opportunities, Artificial Intelligence - Transforming the future of Healthcare Market Outlook, Artificial Intelligence - Transforming the future of Healthcare Market Research Companies, Artificial Intelligence - Transforming the future of Healthcare Market Segmentation, Artificial Intelligence - Transforming the future of Healthcare Market Status, Artificial Intelligence - Transforming the future of Healthcare Market Trend, Growth In Artificial Intelligence - Transforming the future of Healthcare, Trends In Artificial Intelligence - Transforming the future of Healthcare Market
Summary: Global Artificial Intelligence – Transforming the future of Healthcare Market 2020 by Company, Regions, Type and Application, Forecast to 2027
This report gives an in-depth research about the overall state of Artificial Intelligence – Transforming the future of Healthcare Market and projects an overview of its growth Industry. It also gives the crucial elements of the market and across major global regions in detail. Number on primary and secondary research has been carried out in order to collect required data for completing this particular report. Sever industry based analytical techniques has been narrowed down for a better understanding of this market.
It explains the key market drivers, trends, restraints and opportunities to give a precise data which is required and expected. It also analyzes how such aspects affect the market existence globally helping make a wider and better choice of market establishment. The Artificial Intelligence – Transforming the future of Healthcare Markets growth and developments are studied and a detailed overview is been given.
Get sample copy of this report: Global Artificial Intelligence – Transforming the future of Healthcare Market 2020, Forecast to 2027
Leading Key Players: (You will get some more details, Please Enquire for sample by clicking on provided links. Thank You)
This report studies the Artificial Intelligence – Transforming the future of Healthcare market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Artificial Intelligence – Transforming the future of Healthcare market by product type and applications/end industries.
Regions and Countries Level Analysis
Regional analysis is another highly comprehensive part of the research and analysis study of the global Artificial Intelligence – Transforming the future of Healthcare market presented in the report. This section sheds light on the sales growth of different regional and country-level Artificial Intelligence – Transforming the future of Healthcare markets. For the historical and forecast period 2015 to 2027, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Artificial Intelligence – Transforming the future of Healthcare market.
The report offers in-depth assessment of the growth and other aspects of the Artificial Intelligence – Transforming the future of Healthcare market in important countries (regions), including:
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, etc.)
Middle East & Africa (Saudi Arabia, Egypt, Nigeria and South Africa)
THIS REPORT PROVIDES COMPREHENSIVE ANALYSIS OF
Key market segments and sub-segments
Evolving market trends and dynamics
Changing supply and demand scenarios
Quantifying market opportunities through market sizing and market forecasting
Tracking current trends/opportunities/challenges
Competitive insights
Opportunity mapping in terms of technological breakthroughs
Artificial Intelligence – Transforming the future of Healthcare Application Services
Reasons to buy
–Identify high potential categories and explore further market opportunities based on detailed value and volume analysis
–Existing and new players can analyze key distribution channels to identify and evaluate trends and opportunities
–Gain an understanding of the total competitive landscape based on detailed brand share analysis to plan effective market positioning
–Our team of analysts have placed a significant emphasis on changes expected in the market that will provide a clear picture of the opportunities that can be tapped over the next five years, resulting in revenue expansion
–Analysis on key macro-economic indicators such as real GDP, nominal GDP, consumer price index, household consumption expenditure, population (by age group, gender, rurral-urban split, and employed people and unemployment rate. It also includes economic summary of the country along with labor market and demographic trends.
TABLE OF CONTENTS:
Global Artificial Intelligence – Transforming the future of Healthcare Market 2020 by Company, Regions, Type and Application, Forecast to 2027
1 Market Overview
2 Manufacturers Profiles
3 Sales, Revenue and Market Share by Manufacturer
4 Global Market Analysis by Regions
5 North America by Country
6 Europe by Country
7 Asia-Pacific by Regions
8 South America by Country
9 Middle East & Africa by Countries
10 Market Segment by Type
11 Global Artificial Intelligence – Transforming the future of Healthcare Market Segment by Application
12 Market Forecast
13 Sales Channel, Distributors, Traders and Dealers
14 Research Findings and Conclusion
15 Appendix
Enquire for complete report: Global Artificial Intelligence – Transforming the future of Healthcare Market 2020, Forecast to 2027
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| Artificial Intelligence | Artificial Intelligence Transforming future Healthcare Industry Value, Cost Profit 20202027 Forecasts Monroe Scoop Skip content Monday, March 16, 2020 Us Monroe Scoop Industry Analytics Market News Global News Industry Reports Market Report Analysis Forecast Business Opportunity Consumption Status Emerging Trends Future Demands Growth Prospects Market Study Opportunities Forecast You hereHomeGlobal NewsArtificial Intelligence Transforming future Healthcare Industry Value, Cost Profit 20202027 Forecasts Global NewsMarketNewsSatellite Artificial Intelligence Transforming future Healthcare Industry Value, Cost Profit 20202027 Forecasts March 16, 2020March 16, 2020 [emailprotected] Artificial Intelligence Transforming future Healthcare, Artificial Intelligence Transforming future Healthcare Industry Analysis, Artificial Intelligence Transforming future Healthcare Market, Artificial Intelligence Transforming future Healthcare Market Analysis, Artificial Intelligence Transforming future Healthcare Market Insights, Artificial Intelligence Transforming future Healthcare Market Opportunities, Artificial Intelligence Transforming future Healthcare Market Outlook, Artificial Intelligence Transforming future Healthcare Market Research Companies, Artificial Intelligence Transforming future Healthcare Market Segmentation, Artificial Intelligence Transforming future Healthcare Market Status, Artificial Intelligence Transforming future Healthcare Market Trend, Growth In Artificial Intelligence Transforming future Healthcare, Trends In Artificial Intelligence Transforming future Healthcare Market Summary: Global Artificial Intelligence Transforming future HealthcareMarket 2020 Company, Regions, Type Application, Forecast 2027 This report gives indepth research overall state Artificial Intelligence Transforming future Healthcare Market projects overview growth Industry. It gives crucial elements market major global regions detail. Number primary secondary research carried order collect required data completing particular report. Sever industry based analytical techniques narrowed better understanding market. It explains key market drivers, trends, restraints opportunities precise data required expected. It analyzes aspects affect market existence globally helping wider better choice market establishment. The Artificial Intelligence Transforming future Healthcare Markets growth developments studied detailed overview given. Get sample copy report:Global Artificial Intelligence Transforming future Healthcare Market 2020, Forecast 2027 Leading Key Players: You details, Please Enquire sample clicking provided links. Thank You This report studies Artificial Intelligence Transforming future Healthcare market status outlook Global major regions, angles players, countries, product types end industries; report analyzes players global market, splits Artificial Intelligence Transforming future Healthcare market product type applicationsend industries. Regions Countries Level Analysis Regional analysis highly comprehensive research analysis study global Artificial Intelligence Transforming future Healthcare market presented report. This section sheds light sales growth different regional countrylevel Artificial Intelligence Transforming future Healthcare markets. For historical forecast period 2015 2027, provides detailed accurate countrywise volume analysis regionwise market size analysis global Artificial Intelligence Transforming future Healthcare market. The report offers indepth assessment growth aspects Artificial Intelligence Transforming future Healthcare market important countries regions, including: North America United States, Canada Mexico Europe Germany, France, UK, Russia Italy AsiaPacific China, Japan, Korea, India Southeast Asia South America Brazil, Argentina, etc. Middle East Africa Saudi Arabia, Egypt, Nigeria South Africa THIS REPORT PROVIDES COMPREHENSIVE ANALYSIS OF Key market segments subsegments Evolving market trends dynamics Changing supply demand scenarios Quantifying market opportunities market sizing market forecasting Tracking current trendsopportunitieschallenges Competitive insights Opportunity mapping terms technological breakthroughs Artificial Intelligence Transforming future Healthcare Application Services Reasons buy Identify high potential categories explore market opportunities based detailed value volume analysis Existing new players analyze key distribution channels identify evaluate trends opportunities Gain understanding total competitive landscape based detailed brand share analysis plan effective market positioning Our team analysts placed significant emphasis changes expected market provide clear picture opportunities tapped years, resulting revenue expansion Analysis key macroeconomic indicators real GDP, nominal GDP, consumer price index, household consumption expenditure, population age group, gender, rurralurban split, employed people unemployment rate. It includes economic summary country labor market demographic trends. TABLE OF CONTENTS: Global Artificial Intelligence Transforming future Healthcare Market 2020 Company, Regions, Type Application, Forecast 2027 1 Market Overview 2 Manufacturers Profiles 3 Sales, Revenue Market Share Manufacturer 4 Global Market Analysis Regions 5 North America Country 6 Europe Country 7 AsiaPacific Regions 8 South America Country 9 Middle East Africa Countries 10 Market Segment Type 11 Global Artificial Intelligence Transforming future Healthcare Market Segment Application 12 Market Forecast 13 Sales Channel, Distributors, Traders Dealers 14 Research Findings Conclusion 15 Appendix Enquire complete report: Global Artificial Intelligence Transforming future Healthcare Market 2020, Forecast 2027 About Reports Markets: REPORTS AND MARKETS company domain veteran group called Algoro Research Consultants Pvt. Ltd. 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https://www.dailymail.co.uk/sciencetech/article-8171941/Artificial-intelligence-help-identify-future-diabetes-patients.html?ns_mchannel=rss&ito=1490&ns_campaign=1490 | 2020-03-31T00:00:00 | en | Artificial intelligence 'could help identify future diabetes patients' | Daily Mail Online |
Artificial intelligence 'could help identify future diabetes patients' | Daily Mail Online
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Artificial intelligence 'could PREDICT who will develop diabetes with 95% certainty' by combing through their medical recordsMachine learning method assesses likelihood of a person developing diabetesSystem was trained with health records from around 74,000 diabetes patientsAlgorithm identified 4,000 new diabetes patients with 94.9 per cent accuracyBy Jonathan Chadwick For Mailonline Published: 09:04 EDT, 31 March 2020 | Updated: 11:28 EDT, 31 March 2020
e-mail 4 View comments A computer algorithm powered by artificial intelligence can spot people who will develop diabetes, even if they have not been diagnosed yet, scientists claim. The system is reportedly 95 per cent accurate and uses machine learning to assess an individual's risk of developing the lifelong condition.It combs through patients' medical data, including results from routine medical check-ups, to provide a diabetes risk assessment for each patient. Japanese researchers who developed the technology have said it identified thousands of new diabetes patients in trials. A method called machine learning could help predict whether people will get diabetes. It combs through patients' medical data, including results from routine medical check-ups, to provide a diabetes risk assessment for each patient (file photo)'Currently we do not have sufficient methods for predicting which generally healthy individuals will develop diabetes,' said Dr Akihiro Nomura, of the Kanazawa University Graduate School of Medical Sciences in Japan. 'Using machine learning, it could be possible to precisely identify high-risk groups of future diabetes patients better than using existing risk scores,' Dr Nomura said. 'In addition, the rate of visits to healthcare providers might be improved to prevent future onset of diabetes.' Machine learning algorithms can learn to improve their ability to perform a certain task without being explicitly programmed to do so.Such systems can find patterns or trends in sets of data to come to conclusions or help humans make better decisions. RELATED ARTICLES Previous 1 Next As artificial intelligence proves as effective as doctors at... New Bluetooth sensor 'can detect heart failure 10 days... Hope for the fight against superbugs? Scientists discover... Machines are NOT better at predicting pandemics than people:...
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A computer algorithm powered by artificial intelligence can spot people who will develop diabetes, even if they have not been diagnosed yet, scientists claim With their preliminary system, the researchers health records from more than 139,000 participants in the Japanese city of Kanazawa, which included around 74,000 diabetes patients.Physical exams, blood and urine tests were part of the data from the medical records.The team also made note of new cases of diabetes recorded during the patients' annual health checks.Dr Nomura and his colleagues then used the data to train a machine-learning algorithm to predict those at the risk of developing diabetes in the future.The researchers said their algorithm had an overall accuracy of 94.9 per cent, and was able to identify more than 4,000 new diabetes patients. Around 3.9 million in the UK are living with diabetes, according to charity Diabetes UK.The condition has been linked to increased risks of other health problems, including heart disease and cancer. The preliminary research, which is yet to be published, was due to be presented at the Endocrine Society's annual meeting, which was cancelled due to the COVID-19 outbreak.The research will be published in the Journal of the Endocrine Society in mid-April. WHAT IS DIABETES? Diabetes is a lifelong condition that causes a person's blood sugar level to become too high.There are two main types of diabetes: - Type 1, where the body's immune system attacks and destroys the cells that produce insulin. - Type 2, where the body does not produce enough insulin, or the body's cells do not react to insulin. Type 2 diabetes is far more common than type 1. In the UK, around 90% of all adults with diabetes have type 2. Reducing the risk of type 2 diabetes can be achieved through healthy eating, regular exercise and achieving a healthy body weight. The main symptoms of diabetes include: feeling very thirsty, urinating more frequently (particularly at night), feeling very tired, weight loss, and loss of muscle bulk.Source: NHS
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A salon-quality blowout at home: This lightweight Adagio hairdryer has been reduced from $199 to just $65
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Chrissy Teigen marks 10th anniversary of her breast implants with throwback photo as she admits: 'I really want them OUT'
She opened up about her regrets in an interview
NCIS star Maria Bello, 52, is makeup-free as she is 'engaged in solitude' in Los Angeles as fiancee Dominique Crenn, 53, works in San Francisco
David and Victoria Beckham 'purchase $24 million skyscraper apartment in Miami' boasting five bedrooms, sleek interiors and its own HELIPAD
Guess who's back! Savannah Guthrie is reunited with Hoda Kotb as she returns to the Today studio after two weeks of working from home
Move over Kardashians! Tammy Hembrow goes braless in a skintight nude dress as she and her lookalike sisters stun in a new campaign
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The Witches actor Vincent Marzello - who also appeared in two James Bond movies - dies at age 68 after being diagnosed with dementia
Jake Gyllenhaal looks dapper as he poses in front of the New York skyline in suave photoshoot for Another Man magazine
'Breakfast in minutes!' This $10 mini waffle maker has racked up more than 20,000 five-star reviews on Amazon
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'She scratched me so hard, I was bleeding': Kim Kardashian reflects on brawl with Kourtney and reveals they 'shut down production for a week' after KUWTK fight
Bachelor star Michelle Money says surgery for daughter, 15, went 'great' as fluid was removed from her brain after 'nightmare' skateboarding accident
Gwyneth Paltrow weighs in on mystery surrounding Carole Baskin's missing husband after watching Netflix's The Tiger King
Fountains of Wayne frontman and co-founder Adam Schlesinger has been hospitalized and is on a ventilator after contracting Covid-19
Kim Kardashian reveals the season 18 finale of KUWTK features her and her sisters in quarantine and filmed separately due to Covid-19
Harry and Markle have delayed plans to launch a charity and rebrand 'as celebrities' because the timing is 'inappropriate'
Jessica Alba bares her toned midriff in a gray sports bra and leggings, while showing off her best dance moves on TikTok
Working out in isolation
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Bradley Cooper's ex Irina Shayk gets close to Vito Schnabel and heads back to his apartment... despite social distancing advice
Gwyneth Paltrow puts on a cooking show as she preps vegetarian paella in her deluxe chef's kitchen
Zoe Kravitz's husband Karl Glusman reveals he proposed to her in a FRIENDS t-shirt as he talks 'looking like a freak' when he met her mum
Prince Harry and Meghan Markle are 'excited' about the next chapter and are looking forward to being 'the couple they want to be,' source tells Vanity Fair
James Corden admits he is finding homeschooling his children 'a nightmare' and his respect for teachers is 'through the roof'
Ben Affleck, 47, kisses his girlfriend Ana de Armas, 31, after hugs and hand holding as they take their dogs out for a walk in LA
The actor appeared every inch in love
'He just died way too soon': Kelly Ripa gets emotional as she mourns death of her All My Children co-star John Callahan, 66
She opened up on Live with Kelly and Ryan
'I try to make sure they're not a**holes:' John Legend admits he finds it difficult to relate to kids' privileged life as he stars with Luna, 3, in new shoot
For ALL the showbiz news on the internet, go to Newzit.com
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'When this passes, we'll be better people': Dolly Parton believes coronavirus is a lesson from GOD and urges fans to 'keep the faith' during pandemic
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Andy Cohen gets the all-clear to see his son after 12 days of quarantine... as he details coronavirus symptoms and his tips to avoid hospital
'Racism is alive': Rihanna says living in London discusses global struggle against injustice as she makes history in a durag on British Vogue cover
'Motherhood changed me': Kim Kardashian reveals welcoming her four children set her on the path to becoming a lawyer
Demi Rose showcases her jaw-dropping curves in a skimpy silk top for VERY sultry selfies as she admits she's 'bored' during lockdown
Sofia Vergara poses for an adorable selfie with her sweet chihuahua while self-isolating in her Beverly Hills home
From Call of Duty and Spider-Man to Animal Crossing and Crash Bandicoot, ten great video games to play during lockdown
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'It was just an outburst that was not well-handled': Jameela Jamil admits she regrets coming out as queer when she did after receiving backlash
Iskra Lawrence displays her baby bump in tiny grey bralet as she excitedly counts down the final days of her pregnancy
Bachelor star Michelle Money sobs as daughter, 15, undergoes surgery to remove fluid from her brain after 'nightmare' skateboarding accident
Goldie Hawn looks sporty as she leaves self-isolation for some fresh air and takes a stroll around Brentwood with a neighbour
The Good Doctor Season 3 finale brings the exit of two series regular cast members who won't return for Season 4
Suzanne Somers reveals she wants to pose NUDE for Playboy to mark her 75th birthday: 'That's on record'
Terri Irwin hangs out the washing at Australia Zoo with adorable dog Piggy... following her daughter Bindi's surprise wedding to Chandler Powell
'Not my friend': Shaquille O'Neal distances himself from Joe Exotic after he's shown posing with cubs in hit Netflix series Tiger King
Is Georgia Fowler engaged? Victoria's Secret model sparks rumors with bikini selfie just one month after announcing relationship
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John Prine 'is stable' amid critical condition hospitalization after displaying coronavirus symptoms says wife Fiona: 'Please continue to send your prayers'
Ellie Goulding shows off her incredible physique in a crop top as she works out in her home gym but admits 'I force myself to do it'
Celine Dion shares a throwback school photo on her 52nd birthday... after she cancelled her Courage Tour
She has been a giant in the music industry for over three decades
Jessie James Decker, 31, looks fit in a bikini but confesses her loose skin and scars from a 'few' breast reduction surgeries make her 'insecure'
Kate Mara and Jamie Bell take a break from isolation and step out for a sunny stroll with their daughter
Is it all over between Adele and Skepta? Grime artist hints at 'doomed romance in new album track after dating for five months'
Nicole Scherzinger, 41, wows in a leopard print leotard as she shares energetic TikTok dance video with boyfriend Thom Evans, 34
The Body Coach's Joe Wicks wears face mask and sliders as he goes to hospital to get his cast changed after having his broken hand operated on
Meghan King Edmonds runs errands after being accused by her ex Jim Edmonds of taking their children out of state without his permission
British-born Millie Bobby Brown admits that the 'only way' she was able to learn an American accent was by watching Hannah Montana
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Suki Waterhouse displays her slender physique in a backless gown after finding forgotten image in her camera roll during lockdown
Arnold Schwarzenegger looks relaxed as he goes for a bike ride in deserted Santa Monica... after pledging $1m in fight against the coronavirus
Sony pushes their summer movies Ghostbusters: Afterlife, Greyhound, Uncharted Morbius and more due to the coronavirus
Ewan McGregor takes a spin in his vintage Volkswagen camper van in California amid the COVID-19 lockdown
Strega Nona author Tomie dePaola dies after surgery following a fall at age 85
Prolific children's author and illustrator who delighted generations
Cassie leaves hubby Alex Fine on daddy duty with baby Frankie as she drops by grocery store for supplies
Britney Spears puts on a busty display as she shows off wild curly hair on Instagram... after her Tiger King connection is revealed
Martin Sheen, 79, wears a protective face mask and gloves as he steps out for coffee during lockdown in LA amid coronavirus pandemic
Gerard Butler and girlfriend Morgan Brown hit the beach near Malibu despite Stay At Home policy in effect due to coronavirus crisis
Alicia Keys says her mother Terria Joseph taught her empathy amid upbringing in gritty NYC in her new book More Myself: A Journey
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Simon Cowell's girlfriend Lauren Silverman nails casual chic as she runs errands with sons Adam, 14, and Eric, six, on family day out
Selma Blair shares joyful Instagram snap showing her reclining on garden bench clutching jasmine flowers
She wore a slip dress with diaphanous overlay
Freddie Prinze Jr. accidentally scratches his nose while picking up supplies in LA as he practices social distancing with rubber gloves
'After we go live with get lit!' The Body Coach's Joe Wicks celebrates another class as he dances with adorable daughter Indie, two, and baby Marley
Lewis Capaldi delights fans as he performs seven new tracks on Instagram Live but admits he doesn't know if he is 'allowed' to play them
Kylie Jenner shows off her vibrant eyes and butterfly cheeks as she tries on a 'kinda scary' filter... after winning Streamy Award with David Dobrik
Kelly Osbourne fails to maintain social distancing as she picks up food to go with female friend in Malibu
Emmy Rossum cuts a casual figure as she and husband Sam Esmail walk their dog in Beverly Hills after California goes into lockdown
Demi Lovato calls new boyfriend Max Ehrich an 'angel' on Instagram as he cuddles with her dog
Took to Instagram to share a sweet snap of himself cuddling
Prince Andrew's ex-lover Koo Stark loses court battle with former partner she claims went back on deal 23 years ago to give her $60k-a-year for life
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The Voice: The Battle Rounds continue as Dua Lipa opens up about battling nerves before each performance
'It was freezing!' Rebel Wilson shares behind the scenes footage of her elaborate mermaid photo shoot
Shared some fun behind the scenes footage
Prince William wants to RETURN to the National Health Service as an air ambulance pilot to do his bit in the fight against coronavirus
Emily Ratajkowski spreads the love during coronavirus quarantine and poses nearly nude with beloved pooch Colombo: 'He's so sick of the snuggles'
Brooklyn Beckham's girlfriend Nicola Peltz gives him a DIY haircut and bakes him a heart-shaped cake as the pair continue cosy isolation
Billie Eilish and Dua Lipa are among the talented musicians performing at home for James Corden's Homefest
Harry and Meghan are in 'no rush for a second child' and want to get settled in their new LA home before they expand their family, sources tell Us Weekly
Eminem gushes over daughter Hailie Mathers, 24, saying 'she's made me proud' as he reveals raising kids is his greatest accomplishment
Ariel Winter keeps busy during coronavirus pandemic as she totes camera equipment out of studio in LA
'Fake account alert!' Russell Crowe's ex-wife Danielle Spencer exposes her Instagram imposter
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Katherine Schwarzenegger gets her wish as LA mayor closes farmer's markets... after she called them a 'huge issue'
'You don't have to be called beautiful your entire life!' Claudia Schiffer, 49, reflects on her 30-year career, bullying in the industry and why she's aging
Julia Butters carves the word 'dad' into her father's hair as she attempts to give him a quarantine home cut
Aaron Carter declares himself single in nude photo featuring ex Melanie's name tattooed on his face... after she 'is arrested for felony domestic violence'
Selena Gomez reveals she has been getting through quarantine listening to new song from her EX The Weeknd
The actress has been listening to his new song
Ryan Reynolds and Blake Lively donate $400k to hospitals in NYC amid growing coronavirus pandemic
Kylie Jenner reveals she is most likely to have a baby next as she plays fun-filled game with her girlfriends
Cardi B claims she was 'just playing' after her GoFundMe for Joe Exotic's defense fund is blocked
Cardi B backtracked after her wave of support
Laura Dern wears face mask as she makes a trip to deliver suitcases during 'safer at home' order in LA
The star was attired in a short-sleeve striped top and cropped black pants
April Love Geary stocks up on groceries wearing pink sweatshirt with ripped blue jeans and disposable gloves during coronavirus crisis
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Celebrities including Naomi Watts and Teresa Palmer gorge on food as they stress eat in self-isolation during coronavirus pandemic
Brian Austin Green braves the open air to gather groceries for wife Megan Fox and their children after grabbing coffee
'It doesn't have to be a scary conversation': The Wiggles release a new song about social distancing to explain COVID-19 precautionary measures to children
Drake's baby mama Sophie Brussaux shares more snaps with son Adonis, 2, and jokingly photoshops their hair blonde after fans were baffled
Nikki Bella asks fiance Artem Chigvintsev to move in... but twin sister Brie is skeptical on Total Bellas
Nikki Bella has had quite the whirlwind romance with Artem
Country singer Kalie Shorr, 25, reveals 'absolutely miserable' experience following coronavirus diagnosis
Kalie Shorr has shared her 'absolutely miserable' experience
Tiger King star Carole Baskin urges Kate McKinnon NOT to use real live tigers in the upcoming mini-series adaptation
Luann de Lesseps is 'back in the driver's seat' on RHONY after some 'tough times' ... and promises season 12 will be best in years
Rosie Huntington-Whiteley treats Instagram followers to topless selfie as she self-isolates during coronavirus lockdown
Bella Hadid goes make-up free as she dashes to Target for supplies... after sharing glam selfies
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Rachel McCord shows off baby bump in tight mini dress and dons face mask and gloves for trip to doctor's office
Anne Hathaway set to star in film adaptation of writer Pamela Druckerman's autobiography French Children Don't Throw Food
Jenna Dewan gently cradles baby Callum as she gets some fresh air on a stroll during coronavirus self-isolation
Ashley Graham shares sweet family portrait of herself with baby Isaac and husband Justin Ervin as they quarantine in the model's hometown
Jaden Smith appears to ignore LA County's beach closure order as he goes surfing in Malibu
Elizabeth Olsen showcases her toned figure in a retro Liverpool top and black gym shorts as she enjoys stroll with fiancé Robbie Arnett in LA
Farewell! Harry and Meghan share their final Sussex Royal Instagram post to thank fans for their 'support and inspiration' ahead of royal exit tomorrow
Tiger King podcast host Joe Moor wants Margot Robbie to play Joe Exotic in the upcoming mini-series adaptation
Netflix's doc series has become a sensation
American Idol abandons studio for production on season 18 as they discuss filming remote amid coronavirus pandemic
Producers said they're following health advice
Khloe Kardashian reminisces about her 'pre-quarantined body' in sexy Skims throwback as she isolates with ex Tristan and daughter True
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'We've been at each other's throats': Kristen Bell and Dax Shepard admit self-isolating with kids is 'stressful'
The celebrity couple have been together since 2007 and have two daughters
Bethenny Frankel delivers ONE MILLION biohazard suits to New York's health department amid drastic COVID-19 shortages
Aaron Carter's girlfriend Melanie Martin 'is arrested for felony domestic violence for scratching his arm'... after he got her name tattooed on his face
Rod Stewart, 75, stands out in a bright yellow shirt and vibrant shorts as he enjoys a stroll in Florida amid coronavirus pandemic
Selena Gomez likes then unlikes photos of ex-boyfriend Justin Bieber... but fans suspect her Instagram account hacked
Kelly Osbourne carries her pet pooch Polly as she stocks up on groceries with a pal amid the COVID-19 pandemic
Kelly, 35, stepped out for some fresh air
Ariana Grande curly new 'do! Singer swaps her signature high ponytail for tumbling dark locks while self-isolating
iI seems the pop star was ready for a change
Matt Smith sends Doctor Who fans wild as he live tweets throughout an old episode - as writer Richard Curtis explains sadness behind plot
Camila Cabello and a shirtless Shawn Mendes soak up some sunshine during a bicycle ride through Miami amid COVID-19 isolation
Arnold Schwarzenegger and Maria Shriver reunite as they meet up with kids Katherine and Patrick and son-in-law Chris Pratt in LA
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Billboards that RUIN popular Netflix shows with major spoilers are being hailed as a 'genius' way to make people stay home amid coronavirus pandemic
Paris Hilton's hand-washing fail: Heiress is mocked for starring in 'pass the soap' video challenge on TikTok in which she PRETENDED to pump product
'In these toughest of times America always shows her strength': A makeup free Ivanka Trump broadcasts a video message of hope from her home
Tiger King fans go wild after pictures resurface of key character Doc Antle ONSTAGE with Britney Spears during iconic MTV VMAs performance in 2001
Kaley Cuoco mourns the loss of her rescue dwarf pony: 'She no longer has to live in pain'
The 34-year-old took to social media
Jim Edmonds claims estranged wife Meghan King Edmonds took their kids to California from Missouri without telling him as he has Covid test in hospital
Kate Bosworth shines bright in plunging gold dress as she covers the new issue of Flaunt
She's still going strong with upcoming parts in three new films
'Barron is not so unhappy!' Donald Trump says son, 14, didn't 'complain' about not being at school as he praises education system
Meghan's $1 million wardrobe! Duchess' designer gowns and jewelry were paid for by Prince Charles - but who will fit the bill after Megxit tomorrow?
Prince Charles will make $2.5m contribution to Harry and Meghan's $5m-a-year security bill amid claims couple will use private guards
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SI model Camille Kostek and boyfriend Rob Gronkowski donate 20,000 medical masks to two hospitals fighting COVID-19
Rihanna, 32, reveals she's open to raising a family alone as she vows to have four kids within 10 years and details her anxiety battle
Brooke Burke, 48, puts her toned figure on display as she uses a KITCHEN TOWEL to work out... after sharing a headstand photo
Drake's son Adonis, 2, makes his Instagram DEBUT as rapper shares candid snaps of toddler and ex Sophie Brussaux while pining for family
The Bachelor's Bekah Martinez shares sweet baby bump photo as she self-isolates with her family
Pregnant star already has young daughter
Kim Kardashian shares flashback photos of Kylie and Khloe in SKIMS after releasing statement about her $1M donation
Jennifer Garner cuts a casual figure in denim as she enjoys bike ride in LA amid global Covid-19 pandemic
Taking a break from self-isolation
Paris Hilton's film that promises to reveal the woman behind the bombshell facade has been delayed due to COVID-19
Jenna Dewan busts out her best dance moves alongside fiance Steve Kazee as they stay home with their newborn son and dogs
Bella Hadid flaunts her taut figure in sizzling white string bikini as she catches some sun during self-quarantine
The 23-year-old caught some sun
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Florida sheriff issues plea for new leads in the cold case disappearance of Carole Baskin's second husband following Tiger King's Netflix release
Ashley Roberts looks stylish in yellow combat trousers and a shearling jacket as she continues to host her radio show amid COVID-19 lockdown
Locke & Key has been renewed for a second season by Netflix: 'More keys, more demons, more aloha'
Killing Eve's Jodie Comer says she's spending the lockdown watching films she's 'embarrassed' not to have seen while eating chocolate for breakfast
Kumail Nanjiani steps out for fresh air with wife Emily Gordon amid COVID-19 lockdown... after his film Lovebirds moved to Netflix for release
Molly Sims, 46, shows off her abs in a bra top as she works out while holding two WINE bottles: 'Using household items that you most likely have'
Kobe Bryant's towel from his final ever NBA game sells for £27,000 in online auction as fans continue to pay respect two months after his death
Andy Cohen reveals he's feeling better after COVID-19 diagnosis and is ready to host new episode of WWHL from his apartment as he stays quarantined
Helena Bonham Carter, 53, stands out in a floral print maxi skirt as she and boyfriend Rye Dag Holmboe, 32, enjoy a casual stroll amid COVID-19 crisis
Tobey Maguire's ex-wife Jennifer Meyer cuts a casual figure as she steps out for stroll with her entertainment executive dad Ronald Meyer in LA
Bella Thorne poses in a white sports bra and matching shorts as she ponders starting a 'live' workout class from home: 'Quarentined day 19'
Prince Harry and Meghan Markle 'to announce new brand and charity this week on Instagram' following LA move
Kim Kardashian shares throwback snap with longtime BFF Alison Statter and pokes fun at herself: 'What is this hair style?'
Prince Charles is out of self-isolation: Palace confirms future king, 71, is in 'good health' after coronavirus and out of government-advised week-long quarantine
Victoria Beckham, 45, looks incredible on the cover of Vogue Mexico as she provides fans with 'escapism' by sharing seductive snaps during lockdown
Emily Ratajkowski shares bubble bath with friend The Fat Jewish while wearing face masks and drinking wine from a can in fun throwback snap
'I miss you a ton, man!' John Krasinski and Steve Carell reunite to celebrate 15 year anniversary of The Office as they share memories
Ireland Baldwin shows off her taut tummy in a dainty floral bikini after cutting her own hair on a whim
She took to Instagram to flaunt her stunning body
Japanese comedian Ken Shimura dies from coronavirus at age 70 just nine days after being admitted to a hospital with breathing troubles
Mariah Carey, Camila Cabello and Shawn Mendes perform while Tim McGraw sings from his DIVING BOARD in benefit concert hosted by Elton John
Kim Kardashian contemplates dyeing her hair blonde after it has time to heal while she's quarantining at home amid the coronavirus outbreak
Late Night With Seth Meyers will return with a home version as he lands presidential candidate Bernie Sanders as a guest
Meghan Markle is 'like liquorice' because 'you either love her or don't' and will easily transition from royal life because she's 'no stranger to reinventing herself'
Steve Irwin's 'hot niece' Rebecca Lobie poses in a skimpy bikini as she suntans in her backyard following beach closures due to coronavirus pandemic
Andy Garcia, 63, takes a bike ride in Los Angeles during self-isolation... and encourages fans to exercise to boost their immunity
Justin Bieber's sizzling hot ex Sahara Ray leaves little to the imagination as she goes braless for racy new photoshoot
Stranger Things star Noah Schnapp claims co-stars Millie Bobby Brown and Finn Wolfhard 'want to hook up' as he teases them on social media
Heather Locklear jokes about return of 'Amanda Woodward's roots' in Instagram video thanking those 'who help us' during coronavirus pandemic
Elsa Hosk models Gucci lingerie at home... the day after she was seen walking through coronavirus-ravaged NYC with beau Tom Daley
Alan Merrill, co-writer and original singer of Joan Jett & the Blackhearts' classic I Love Rock 'n' Roll, dies from coronavirus at age 69
Backstreet Boys perform I Want It That Way with their children during self-quarantine for iHeartRadio's Living Room Concert for America
Martin Freeman cuts a dapper figure as he goes for a walk with son Joe, 14, and daughter Grace, 11, in London amid the coronavirus pandemic
Penny Lancaster, 49, reveals she has to get husband Rod Stewart, 75, DRUNK to eat her cooking as family lockdown in Florida
Maria Shriver is sporty in white zipper jacket and black leggings on bike ride with son Patrick Schwarzenegger and girlfriend in LA
Liam Hemsworth's girlfriend Gabriella Brooks flaunts toned midriff and practices social distancing as she walks on the beach on Phillip Island
Country singer Joe Diffie dies at 61 after suffering complications from COVID-19 days after telling fans of diagnosis on Instagram
Rita Ora shares new behind the scenes snaps from her How To Be Lonely music video and admits she had egg yolk in places she 'can't say out loud' after shoot
Shia LaBeouf packs on the PDA with ex Mia Goth... as the pair continue to rekindle their love two years after filing for divorce
Sofia Richie vows to wear head scarf until she can get her roots done amid COVID-19 quarantine
The 21-year-old is social distancing
'We don't need your protection': Harry and Meghan tell Trump they weren't going to ask US for LA security and have 'privately-funded arrangements'
Oscar winner Tilda Swinton wants to move the windows on extension at her Scottish home to stop her neighbors from peeking inside
Bearded Jude Law, 47, is arm in arm with wife Phillipa Coan, 32, as the couple emerge from home quarantine for a brisk walk in lockdown London
Demi Rose displays her peachy derrière in a fuchsia thong bodysuit as she poses in front of her fridge amid the coronavirus lockdown
The Instagram star, 25, took to the social media
Bhad Bhabie calls Billie Eilish out for ghosting her: 'I guess that's what happens when b****es get famous'
Musician John Prine has been hospitalized after displaying coronavirus symptoms
The 73-year-old is said to be in critical condition
American Idol recap: 'Just Sam' blows away the judges in Hawaii as the best singers advance to the Top 20
'I never weigh myself': Model Kelly Gale reveals her eye-popping cleavage in the sauna and tells Instagram fans the secrets behind her enviable figure
Bon Jovi thanks Prince Harry for 'bringing a light' to PTSD sufferers as they release video for charity single recorded with the Invictus Games Choir
Alessandra Ambrosio flaunts cleavage while sunbathing in silver bikini at her 'home sweet home' amid coronavirus quarantine
Mike Tindall reveals he celebrated the end of his daughter Mia's first week of home-schooling with a low-calorie lager
Katherine Schwarzenegger and Chris Pratt match on stroll with mom Maria Shriver (and Arnold's daughter makes plea to LA mayor)
Kelly Bensimon, 51, shows off her stunning figure in bikini as she enjoys down time at home by the pool while observing social distancing
.
Jennifer Garner enjoys a walk with her whole family while observing social distancing protocols amid the coronavirus outbreak
Demi Moore, 57, poses with a dog on her HEAD in quirky selfie as she isolates at home amid coronavirus pandemic
Actress trying to cheer eveyone up
'It's crazy how mentally this whole thing takes it out of you': Molly Sims wows in a crop top as she takes her dog for a walk in LA
Chrissy Teigen and John Legend officiate a stuffed animal wedding for daughter Luna amid California's coronavirus lockdown
Sarah Ferguson urges followers to find 'gold-hearted strength' and 'keep focused on small steps to victory' during coronavirus pandemic
Rita Wilson celebrates her 'blessings' and 'continued good health' as she and husband Tom Hanks settle back into life in LA following COVID-19 diagnosis
Nikki Bella admits she was 'so broken' after John Cena split as she pens emotional love letter to fiance Artem Chigvintsev on Instagram
Instagram superstar Tammy Hembrow cuddles up to son Wolf, 4, and daughter Saskia, 3 in adorable video - as she launches her new clothing collection
Transformers star Sophia Myles discusses her 'fear of being abandoned and giving love to strangers' in Q&A days after losing father to coronavirus
Megan Fox spends quality time with her three children and husband Brian Austin Green on grocery store trip in Los Angeles
Riley Keough displays her gym-honed physique in crop top and leggings as she works out at home with her dog during coronavirus lockdown
Khloe Kardashian shares sweet video of daughter True tending to her toys in a giant dollhouse
Khloe has been making her and her 23-month-old daughter True's life fun
Christiano Ronaldo and girlfriend Georgina Rodriguez take a break from lockdown to enjoy a stroll with their children amid the COVID-19 pandemic
'There is a lot less scrutiny of male pop stars!' Dua Lipa slams sexism in the music industry and gets candid about the impact of online criticism
Khloe Kardashian's ex Tristan Thompson shares sweet snapshots of himself bonding with daughter True, 1
Tristan has been in quarantine with ex Khloe
The Walking Dead: Negan saves his former enemy Daryl as a new character Princess is introduced
Negan saved his former enemy Daryl
Rita Ora is left in pain after banging her head on the ceiling in unfortunate mishap as she shares exercise session with fans during live stream
The real band behind Joe Exotic's country songs wants record deal after Netflix hit Tiger King
They 'recorded three albums worth of songs'
Jamie Oliver reveals he's been forced to film his new cooking show from home on his cellphone amid the coronavirus pandemic
David Charvet dresses in Nike sports gear for Sunday stroll in Malibu with fitness model girlfriend
The former Baywatch star paired a charcoal gray hoodie with shorts
Lisa Rinna shares sultry bikini snap on 23rd wedding anniversary with Harry Hamlin as she reveals they were unable to vacation due to COVID
The Beckhams continue to pass the time in lockdown honing their culinary skills as they make a feast of rigatoni and freshly-baked bread
Ariana Grande celebrates the 10-year anniversary of Victorious by virtually reuniting with former co-stars Victoria Justice and Liz Gillies
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GADGET REVIEWS
iPad Pro review: Apple takes the tablet to new heights (at a price)
Apple's new iPad is blazingly fast, gorgeous to look at, and quite simply the best tablet out there - and for a lot of people, probably the best computer out there.
The small smart display with big potential: Google Home Hub review
Google is late to the game with its Home Hub, but the low price and AI features make it a great choice for controlling your home, showing pictures and even helping run your life.
'Good enough for most people': iPhone XR review
On one hand, the XR lacks the high-resolution screen and dual-lens camera on the XS. but it is $250 cheaper and still get most of the other cutting-edge features found on the more expensive model.
The Pixel 3 outsmarts the iPhone (IF you trust Google with all your information)
AI seems to permeate every part of its software, from the ability to answer calls for you to being able to almost perfectly predict your morning commute.
Bigger and better in every way: Apple's XS really does take the iPhone to the Max
Apple's new iPhone XS and XS Max go on sale on Friday - and the biggest handset Apple has ever made is also its best (and possibly unsurprisingly, its most expensive).
The $250 beauty device that works like 'Photoshop for your face'
Israeli beauty-tech firm Pollogen has launched its Geneo Personal device, which stimulates oxygen from beneath the skin's surface to give you a clearer, fresher face within minutes.
iOS 12 review: The update that really will improve your iPhone
Rather than cram in a plethora of new features, Apple's latest update is about boosting stability, with improvements in everything from FaceID and battery life.
Naim Atom: The hifi that will change the way you listen to music
It's eye-wateringly expensive at $2,999, but Naim's Uniti Atom is a revelation, an integrated amplifier than makes it easy to stream music at a quality you've probably never heard before.
The $1,000 wireless speaker that really IS worth the price: Naim Mu-so Qb review
Naim's incredible Mu-So Qb takes you back to the good old days - where the music captivates and enthralls, rather that simply being something in the background.
The hi-tech $2,000 spin bike that really could change your life
Peloton's hi-tech bike lets you stream live and on demand rides to your home - and it's one of the best examples of fitness technology out there - at a price.
The best all in one wireless speaker you'll ever hear: Naim Mu-so review
It might not be a name familiar to the US market, but Naim is a legendary British brand hoping to make a splash with the American launch of its $1499 Mu:So speaker.
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America's deadliest day to date: Coronavirus death toll soars to 3,180 - an increase of 605 with a person dying every TWO MINUTES - as 22,000 new infections are recorded and experts say the worse is yet to come
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| Artificial intelligence 'could help identify future diabetes patients' | Artificial intelligence help identify future diabetes patients Daily Mail Online Home U.K. News Sports U.S. Showbiz Australia Femail Health Science Money Video Travel Columnists DailyMailTV Latest Headlines Games My Profile Logout Feedback Tuesday, Mar 31st 2020 10AM 51F 1PM 57F 5Day Forecast Advertisement ad Artificial intelligence PREDICT develop diabetes 95 certainty combing medical recordsMachine learning method assesses likelihood person developing diabetesSystem trained health records 74,000 diabetes patientsAlgorithm identified 4,000 new diabetes patients 94.9 cent accuracyBy Jonathan Chadwick For Mailonline Published: 09:04 EDT, 31 March 2020 Updated: 11:28 EDT, 31 March 2020 email 4 View comments A algorithm powered artificial intelligence spot people develop diabetes, diagnosed yet, scientists claim. The reportedly 95 cent accurate uses machine learning assess individuals risk developing lifelong condition.It combs patients medical data, including results routine medical checkups, provide diabetes risk assessment patient.Japanese researchers developed technology said identified thousands new diabetes patients trials. A method called machine learning help predict people diabetes.It combs patients medical data, including results routine medical checkups, provide diabetes risk assessment patient file photoCurrently sufficient methods predicting generally healthy individuals develop diabetes, saidDr Akihiro Nomura, Kanazawa University Graduate School Medical Sciences Japan. Using machine learning, possible precisely identify highrisk groups future diabetes patients better existing risk scores,Dr Nomura said.In addition, rate visits healthcare providers improved prevent future onset diabetes.Machine learning algorithms learn improve ability perform certain task explicitly programmed so.Such systems patterns trends sets data come conclusions help humans better decisions. RELATED ARTICLES Previous 1 Next As artificial intelligence proves effective doctors at... New Bluetooth sensor detect heart failure 10 days... Hope fight superbugs? Scientists discover... Machines NOT better predicting pandemics people:... Share article Share A algorithm powered artificial intelligence spot people develop diabetes, diagnosed yet, scientists claimWith preliminary system, researchers health records 139,000 participants Japanese city Kanazawa, included 74,000 diabetes patients.Physical exams, blood urine tests data medical records.The team note new cases diabetes recorded patients annual health checks.Dr Nomura colleagues data train machinelearning algorithm predict risk developing diabetes future.The researchers said algorithm overall accuracy 94.9 cent, able identify 4,000 new diabetes patients.Around 3.9 million UK living diabetes, according charity Diabetes UK.The condition linked increased risks health problems, including heart disease cancer.The preliminary research, published, presented Endocrine Societys annual meeting, cancelled COVID19 outbreak.The research published Journal Endocrine Society midApril. WHAT IS DIABETES? Diabetes lifelong condition causes persons blood sugar level high.There main types diabetes: Type 1, bodys immune attacks destroys cells produce insulin. Type 2, body produce insulin, bodys cells react insulin.Type 2 diabetes far common type 1.In UK, 90 adults diabetes type 2.Reducing risk type 2 diabetes achieved healthy eating, regular exercise achieving healthy body weight.The main symptoms diabetes include: feeling thirsty, urinating frequently particularly night, feeling tired, weight loss, loss muscle bulk.Source: NHS Advertisement Share comment article: Artificial intelligence help identify future diabetes patients email Add comment Comments 3 Share think Newest Oldest Best rated Worst rated View The comments moderated. View The views expressed contents users necessarily reflect views MailOnline. Add comment Enter comment Post comment Facebook Timeline Whats This? By posting comment agree house rules. 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] | 1 | NEGATIVE | 235 |
https://fusionscienceacademy.com/new-report-2020-analyzes-the-global-machine-learning-in-automobile-market/ | 2020-01-29T00:00:00 | en | New Report 2020 Analyzes the Global Machine Learning in Automobile Market – Fusion Science Academy |
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MARKET REPORT
New Report 2020 Analyzes the Global Machine Learning in Automobile Market
Published 3 hours ago on January 29, 2020
By [email protected]
Los Angeles, United State, January 29th ,2020:
The report titled, Global Machine Learning in Automobile Market Size, Status and Forecast 2020-2026 presents a comprehensive study of the global Machine Learning in Automobile industry. The report contains detailed information on the driving factors, restraints, challenges, opportunities, and trends. The analysts have given reliable estimations by using PESTLE Analysis and PORTER’s Five Forces methodologies. Additionally, the report has provided analysis based on aspects such as Machine Learning in Automobile production, sales, price, supply chain, capacity, cost, gross margin, and revenue.
Focus has been laid on the important factors that have positively influenced the Machine Learning in Automobile business growth. Restraining factors anticipated to hamper growth in the near future are put forth by the analysts to make Machine Learning in Automobile manufacturers prepared for future challenges.
Download PDF template of this report: https://www.qyresearch.com/sample-form/form/1490461/global-machine-learning-in-automobile-market
Key companies functioning in the global Machine Learning in Automobile market cited in the report:
SGS, EAG Laboratories, Capsugel, Atlantic Essential Products, Inc., ORC Expert Services, Robert M. Kerr Food & Agricultural Products Center (FAPC), Dazmed Pharmaceuticals, NutraScience Labs, Eurofins Microbiology, Nexgen Pharma, Primera Analytical Solutions Corp., Pyxis Laboratories LLC, Vitakem, Barrow-Agee Laboratories, Applied Consumer Services, Inc., Biological Research Solution, Jordi Labs, Medipharm Laboratories, Inc., Microbe Inotech Laboratories Inc., Chromaceutical Advanced Technologies, Inc., Alliance Technologies, NHK Laboratories, Inc., Food Safety Consulting, Training & Testing, Avomeen Analytical Services, Dicentra
The research report has mapped the complete strategic profiling of global Machine Learning in Automobile companies. Along with this, the analysts have broadly analyzed the core competencies of the industry participants and sketched the competitive landscape. This analysis will surely assist the global Machine Learning in Automobile companies to recognize the profit-making opportunities and plan further activities.Global Machine Learning in Automobile Market: Segment Analysis
The report has segregated the global Machine Learning in Automobile industry into segments comprising application, product type, and end user to simplify the overall understanding for the readers. Industry share accrued by each segment and their growth potential have been scrutinized in the report. Besides, regional analysis is comprehensively done by the researchers. Machine Learning in Automobile revenue in connection with the key regions and their countries is detailed in the report.
Request for Customization @ https://www.qyresearch.com/customize-request/form/1490461/global-machine-learning-in-automobile-market
Global Machine Learning in Automobile Market: Regional Analysis
Furthermore, to broaden the understanding, researchers have studied the global Machine Learning in Automobile market from a geographical point of view, considering the potential regions and countries. The regional analysis will assist the market players in taking sound decisions regarding their future investments.
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Size Forecasts: Analysts have examined the global Machine Learning in Automobile industry on the basis of value as well as volume over the forecasted period. It also talks about Machine Learning in Automobile consumption and sales
Trend Analysis: Pivotal insights about the emerging trends and developments associated with global Machine Learning in Automobile business have been provided in this section of the report
Segmental Analysis: This research report studies Machine Learning in Automobile industry based on segments such as product type, application, and end user. Segmental analysis is done in terms of CAGR, share, production, and consumption
Future Opportunities: In this section, the industry experts have shed light on the profitable Machine Learning in Automobile business opportunities that may prove rewarding for the Machine Learning in Automobile players who are willing to make future investments
Geographical Analysis: Here, the report has laid down key details pertaining to the regions and respective countries having high growth potential
Vendor Landscape: Important insights regarding the global Machine Learning in Automobile participants are mentioned in the report, along with the strategies considered by them to stay ahead of the curve.
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The report is a perfect example of a detailed and meticulously prepared research study on the global Machine Learning in Automobile market. It can be customized as per the requirements of the client. It not only caters to market players but also stakeholders and key decision makers looking for extensive research and analysis on the global Machine Learning in Automobile market.
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According to the analysis, the marketplace is anticipated to Reach a price of US$XX at the close of 20-19 and grow at a CAGR of ~XX% throughout the forecast period (2019-2029). The parameters which are likely to boost the market while within the decade’s rise have been discussed within the title.
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Essential Data included from the Industrial Air Compressor Market research:
The Political and financial prognosis in various regions along with the influence on the Industrial Air Compressor economy
Development Prospect of Industrial Air Compressor market players at the growing markets
Current And future prospects of varied sections of this Industrial Air Compressor economy
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Global Industrial Air Compressor Market: Trends and Opportunities
The pressurized air produced and stored with the help of industrial air compressors finds important usage in a countable number of applications such as freezing and cooling, packaging, and welding and cutting. It is also vitally used for compressing a gas to ensure its successful transportation to different locations without any damage or loss and powering pneumatic equipment. As a result, unsurprisingly, there has been a diverse range of industries wanting to install air compressors at a high rate.
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Global Industrial Air Compressor Market: Regional Outlook
The economies which have witnessed a significant plunge in oil prices could find a low air compressor demand in the upstream oil and gas sector. Thus, the world industrial air compressor market is predicted to be slightly on the slower side, owing to the economic depression and sluggish industrial development in some countries. Some part of the slowdown in growth of the global industrial air compressor market could also be imputed to the adoption of renewable and cleaner electricity production techniques in nations such as France, Germany, the U.S., and the U.K.
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Global Industrial Air Compressor Market: Companies Mentioned
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The Most Recent study on the Autonomous Car Market Research provides a profound comprehension of the various market dynamics like trends, drivers, the challenges, and opportunities. The report further elaborates on the micro and macro-economic elements that are predicted to shape the increase of the Autonomous Car market throughout the forecast period (2019-2029).
The introduced study elucidates the crucial indicators of Market growth which comes with a thorough analysis of this value chain, CAGR development, and Porter’s Five Forces Analysis. This data may enable readers to understand the quantitative growth parameters of this international industry that is Autonomous Car .
Analytical Insights Included from the Autonomous Car Market Report
Estimated earnings Rise of the Autonomous Car marketplace throughout the forecast period
Factors expected to aid the Rise of the Autonomous Car marketplace
The growth potential of this Autonomous Car market in a Variety of regions
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Company profiles of top players in the Autonomous Car market
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Autonomous Car Market Segmentation Assessment
The increase prospects of this market in various Regions are studied in the report together with details like the regulatory framework, political, and financial outlook of each region.
Market: Segmentation
The autonomous car market has been segmented on the basis of level of automation and geography. Based on level of automation, the market has been further classified into Level 1, Level 2, Level 3, Level 4 and Level 5. In Level 1 autonomous cars, the driver is in full control of the vehicle. Intelligent features add a layer of comfort and safety like cruise control mode. ÃÂ Such type of autonomous cars require human driver to carry on all critical functions and monitor driving environment.
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Global Autonomous Car Market: Competitive Outlook
The report also includes competitive landscape which include competition matrix, market share analysis of major players in the global autonomous car market based on their projected volume share, and business profiling of major players. The Competition Matrix benchmarks leading players on the basis of their capabilities and potential to grow. Factors including market position, offerings and R&D focus are attributed to companyââ¬â¢s capabilities. Factors including top line growth, market share, segment growth, infrastructure facilities and future outlook are attributed to companyââ¬â¢s potential to grow. This section also identifies and includes various recent developments carried out by the leading players.
Company profiling includes company overview, major business strategies adopted, SWOT analysis and R&D Investments. The key players profiled in the global autonomous car market include Audi AG, Bayerische Motoren Werke AG, Ford Motor Company, General Motors Company, Nissan Motor Company Ltd., Tesla Motors, The Volvo Group, Toyota Motor Corporation, Uber Technologies Inc. and Waymo LLC.
The global autonomous car market is segmented as below:
Global Autonomous Car Market, By Level of Automation
Level 1
Level 2
Level 3
Level 4
Level 5
Global Autonomous Car Market, By Geography
North America
The U.S.
Canada
Rest of North America
Europe
The U.K
France
Germany
Rest of Europe
Asia Pacific (APAC)
China
Singapore
Japan
South Korea
Rest of APAC
Middle East and Africa (MEA)
UAE
Saudi Arabia
Rest of MEA
South America
Brazil
Argentina
Rest of South America
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The Report intends to eliminate the subsequent doubts regarding the Autonomous Car market:
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That Regional marketplace is predicted to see the CAGR increase during the assessment period?
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| New Report 2020 Analyzes the Global Machine Learning in Automobile Market | New Report 2020 Analyzes Global Machine Learning Automobile Market Fusion Science Academy Our Writers Us Join Our Newsletter Connect Fusion Science Academy New Report 2020 Analyzes Global Machine Learning Automobile Market MARKET REPORT SPACE SATELLITE NASA ENERGY Us MARKET REPORT New Report 2020 Analyzes Global Machine Learning Automobile Market Published 3 hours ago January 29, 2020 By [emailprotected] Los Angeles, United State, January 29th ,2020: The report titled, Global Machine Learning Automobile Market Size, Status Forecast 20202026 presents comprehensive study global Machine Learning Automobile industry. The report contains detailed information driving factors, restraints, challenges, opportunities, trends. The analysts given reliable estimations PESTLE Analysis PORTERs Five Forces methodologies. Additionally, report provided analysis based aspects Machine Learning Automobile production, sales, price, supply chain, capacity, cost, gross margin, revenue. Focus laid important factors positively influenced Machine Learning Automobile business growth. Restraining factors anticipated hamper growth near future forth analysts Machine Learning Automobile manufacturers prepared future challenges. Download PDF template report: Key companies functioning global Machine Learning Automobile market cited report: SGS, EAG Laboratories, Capsugel, Atlantic Essential Products, ., ORC Expert Services, Robert M. Kerr Food Agricultural Products Center FAPC, Dazmed Pharmaceuticals, NutraScience Labs, Eurofins Microbiology, Nexgen Pharma, Primera Analytical Solutions Corp., Pyxis Laboratories LLC, Vitakem, BarrowAgee Laboratories, Applied Consumer Services, ., Biological Research Solution, Jordi Labs, Medipharm Laboratories, ., Microbe Inotech Laboratories ., Chromaceutical Advanced Technologies, ., Alliance Technologies, NHK Laboratories, ., Food Safety Consulting, Training Testing, Avomeen Analytical Services, Dicentra The research report mapped complete strategic profiling global Machine Learning Automobile companies. Along this, analysts broadly analyzed core competencies industry participants sketched competitive landscape. This analysis surely assist global Machine Learning Automobile companies recognize profitmaking opportunities plan activities.Global Machine Learning Automobile Market: Segment Analysis The report segregated global Machine Learning Automobile industry segments comprising application, product type, end user simplify overall understanding readers. Industry share accrued segment growth potential scrutinized report. Besides, regional analysis comprehensively researchers. Machine Learning Automobile revenue connection key regions countries detailed report. Request Customization@ Global Machine Learning Automobile Market: Regional Analysis Furthermore, broaden understanding, researchers studied global Machine Learning Automobile market geographical point view, considering potential regions countries. The regional analysis assist market players taking sound decisions future investments. Get Complete Global Machine Learning Automobile Market Report Inbox 24 hours USD 3,900 : Why Choose Report? Size Forecasts: Analysts examined global Machine Learning Automobile industry basis value volume forecasted period. It talks Machine Learning Automobile consumption sales Trend Analysis: Pivotal insights emerging trends developments associated global Machine Learning Automobile business provided section report Segmental Analysis: This research report studies Machine Learning Automobile industry based segments product type, application, end user. Segmental analysis terms CAGR, share, production, consumption Future Opportunities: In section, industry experts shed light profitable Machine Learning Automobile business opportunities prove rewarding Machine Learning Automobile players willing future investments Geographical Analysis: Here, report laid key details pertaining regions respective countries high growth potential Vendor Landscape: Important insights global Machine Learning Automobile participants mentioned report, strategies considered stay ahead curve. : The report perfect example detailed meticulously prepared research study global Machine Learning Automobile market. It customized requirements client. It caters market players stakeholders key decision makers looking extensive research analysis global Machine Learning Automobile market. Related Topics: Up Next New Report Shows Machine Learning Manufacturing Market Future Growth Factors 2026 Dont Miss Bone Conduction Headphones Market : Report Highlights The Competitive Scenario With Impact Of Drivers And Challenges 2024 Continue Reading You like MARKET REPORT Dental Lasers Market Witness Exponential Growth 2027 Published 40 seconds ago January 29, 2020 By [emailprotected] The Dental Lasers market research report offers overview global Dental Lasers industry market size, estimate year 2019 forecast 20192027. The Dental Lasers market valued USD XXXX million 2018 anticipated reach USD XXXX million 2027, growing compound annual growth rate CAGR XX 2019 2027. Request Sample Report @ The global Dental Lasers market segment based Product Type: Diode Lasers Yttrium Aluminium Garnet Lasers Carbon Dioxide End User: Hospitals Dental Clinics The region examined market include North America, Europe, Asia Pacific, Latin America, Middle East Africa. Global Dental Lasers market research report offersindepthcompany profiling promising market players global Dental Lasers market, includes BIOLASE AMD LASERS Convergent Dental Danaher Ivoclar Vivadent AG R.C. Laser Dentsply Sirona LUMENIS IPG Photonics Elexxion Portnox Security Send Enquiry @ The report covers major region Europe, Asia Pacific, North America, Middle East Africa, Latin America. Region level analysis helps stakeholders identify demand region supply forces influencing market. The total market divided countries country market data presented report. Continue Reading MARKET REPORT New Research Report onIndustrial Air Compressor Market , 2017 2025 Published 1 min ago January 29, 2020 By [emailprotected] Indepth Read Industrial Air Compressor Market TMRR, newly released Market research, supplies comprehension facets sector. This markets analysis throws light defines data. Even supplyside demandside styles tracked offer crystal clear picture industry scenario. According analysis, marketplace anticipated Reach price USXX close 2019 grow CAGR XX forecast period 20192029. The parameters likely boost market decades rise discussed title. Request Sample Report @ Reasons To purchase From TMRR: One Of renowned market research businesses India Delivered Reports 500 customers different geographies Data Accumulated respectable secondary primary sources Spot Less Delivery procedure hold ups Our Customer care team available 247 tackle client concerns Crucial Queries addressed report: That Company predicted control market concerning market share? The best way Have evolving administration regulatory policies? That Use key word predicted create revenue? At Moment, Which trends sector Industrial Air Compressor ? The best way Are marketplace players currently adjusting prices materials essential? Request For Discount On This Report @ Essential Data included Industrial Air Compressor Market research: The Political financial prognosis regions influence Industrial Air Compressor economy Development Prospect Industrial Air Compressor market players growing markets Current And future prospects varied sections Industrial Air Compressor economy Y O Y Growth projection unique regional niches Impact Of regulatory policies available Industrial Air Compressor market regions Marketplace Segments Covered Industrial Air Compressor Market And, expansion growth capacity Promote price subsegments segments included accounts. segmentation, report buyers customized approach business. The customizable presentation world industrial air compressor market offered analysts best steps secure long run industry. Important aspects market competitive scenario, growth factors, restraints, market attractiveness exclusively explained publication. Global Industrial Air Compressor Market: Trends Opportunities The pressurized air produced stored help industrial air compressors finds important usage countable number applications freezing cooling, packaging, welding cutting. It vitally compressing gas ensure successful transportation different locations damage loss powering pneumatic equipment. As result, unsurprisingly, diverse range industries wanting install air compressors high rate. The international industrial air compressor market prognosticated register unparalleled growth food beverage, paper pulp, pharmaceutical, electricity generation, manufacturing, petrochemical chemical sectors look parade rising demand. As processed foods rake strong demand, demand industrial air compressors expected run high. The global market primed tangible growth humongous investments developing nations aggressive industrialization. The crossborder improvement oil gas transportation networks globe attributed surge international demand. In terms type, positive displacement air compressor possible market holds potential augment demand significantly. This accredited upswing requirement gas air compression broadranging scope applications sectors. Global Industrial Air Compressor Market: Regional Outlook The economies witnessed significant plunge oil prices low air compressor demand upstream oil gas sector. Thus, world industrial air compressor market predicted slightly slower side, owing economic depression sluggish industrial development countries. Some slowdown growth global industrial air compressor market imputed adoption renewable cleaner electricity production techniques nations France, Germany, U.S., U.K. However, attractive market opportunities foretold spring forth maturation gas oil pipeline networks world borders. Besides this, opportunities prophesied birth aggravating need systemized technologically sophisticated air compressors. China India received promising support form proactive fresh policy reforms manufacturing industry. Keeping lofty CAGR view, China market grow larger followed India bearing secondhighest demand growth. In regard, Asia Pacific foreseen grasp leading share world industrial air compressor market matter market size rate growth. Global Industrial Air Compressor Market: Companies Mentioned One latest strategies considered players industrial air compressor market launching new technologies products. Hitachi Ltd., IngersollRand plc, Gardner Denver, ., Doosan Infracore Co. Ltd., Atlas Copco AB companies exhibiting prominence industry. Customize This Report @ Continue Reading MARKET REPORT Autonomous Car Market Garner Brimming Revenues 20192030 Published 1 min ago January 29, 2020 By [emailprotected] The Most Recent study Autonomous Car Market Research provides profound comprehension market dynamics like trends, drivers, challenges, opportunities. The report elaborates micro macroeconomic elements predicted shape increase Autonomous Car market forecast period 20192029. The introduced study elucidates crucial indicators Market growth comes thorough analysis value chain, CAGR development, Porters Five Forces Analysis. This data enable readers understand quantitative growth parameters international industry Autonomous Car . Analytical Insights luded Autonomous Car Market Report Estimated earnings Rise Autonomous Car marketplace forecast period Factors expected aid Rise Autonomous Car marketplace The growth potential Autonomous Car market Variety regions Consumption, pricing arrangement, adoption routine Autonomous Car Company profiles players Autonomous Car market Request Sample Report @ Autonomous Car Market Segmentation Assessment The increase prospects market Regions studied report details like regulatory framework, political, financial outlook region. Market: Segmentation The autonomous car market segmented basis level automation geography. Based level automation, market classified Level 1, Level 2, Level 3, Level 4 Level 5. In Level 1 autonomous cars, driver control vehicle. Intelligent features add layer comfort safety like cruise control mode. Such type autonomous cars require human driver carry critical functions monitor driving environment. Cars Level 2 automation provide additional automation compared Level 1 cars. Automation control functions provided vehicles; example, automated lane changing. The driver required monitor driving environment ready control vehicle short notice. In Level 3 autonomous cars, driver transfer control safety critical functions car certain weather traffic conditions. The driver required monitor driving environment, asked car control. The Level 4 autonomous cars require human inputs drive. The car maneuver variety situations. In Level 5 autonomous cars, driver need present car. Geographically, report classifies global autonomous car market North America, Europe, Asia Pacific, Middle East Africa MEA, South America; regions analyzed terms units. Furthermore, region wise prominent countries covered report include following U.S, Canada, Germany, France, U.K., China, Japan, UAE, Saudi Arabia, Brazil Argentina. Global Autonomous Car Market: Competitive Outlook The report includes competitive landscape include competition matrix, market share analysis major players global autonomous car market based projected volume share, business profiling major players. The Competition Matrix benchmarks leading players basis capabilities potential grow. Factors including market position, offerings RD focus attributed companys capabilities. Factors including line growth, market share, segment growth, infrastructure facilities future outlook attributed companys potential grow. This section identifies includes recent developments carried leading players. Company profiling includes company overview, major business strategies adopted, SWOT analysis RD Investments. The key players profiled global autonomous car market include Audi AG, Bayerische Motoren Werke AG, Ford Motor Company, General Motors Company, Nissan Motor Company Ltd., Tesla Motors, The Volvo Group, Toyota Motor Corporation, Uber Technologies . Waymo LLC. The global autonomous car market segmented below: Global Autonomous Car Market, By Level Automation Level 1 Level 2 Level 3 Level 4 Level 5 Global Autonomous Car Market, By Geography North America The U.S. Canada Rest North America Europe The U.K France Germany Rest Europe Asia Pacific APAC China Singapore Japan South Korea Rest APAC Middle East Africa MEA UAE Saudi Arabia Rest MEA South America Brazil Argentina Rest South America Request For Discount On This Report @ The Report intends eliminate subsequent doubts Autonomous Car market: What Will trends currently dictating increase Autonomous Car market? What Is reach invention present Autonomous Car market arena? The best way Will alterations industrial coverages region 2 region 1 affect growth industry Autonomous Car ? What Is projected value Autonomous Car economy 2029? That Regional marketplace predicted CAGR increase assessment period? Reasons To Choose Autonomous Car Market Report: Powerful prompt customer support A methodical systematic marketplace research procedure Unbiased insights market decisions Our insights empowered growth 500 customers Reports accessible Our clients demands Buy This Report @ Continue Reading Support Fusion Science AcademyIf enjoy reporting, consider small donation PayPal [emailprotected] small 5 10 help significantly hosting costs. You share articles Facebook, Reddit Twitter. Also sure sign newsletter notified publish new article. 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https://thenextweb.com/neural/2020/04/20/the-nhs-is-using-ai-to-predict-coronavirus-ventilator-and-icu-demand/ | 2020-04-20T00:00:00 | en | The NHS is using AI to predict coronavirus ventilator and ICU demand |
The NHS is using AI to predict coronavirus ventilator and ICU demand
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The NHS is using AI to predict coronavirus ventilator and ICU demand
Trials of the system commenced today
Photo by Andrea Piacquadio from Pexels
Story by
Thomas Macaulay
55
Shares
The UK‘s National Health Service (NHS) is trialing an AI system that predicts demand for intensive care beds and ventilators during the coronavirus pandemic.
Tests of the COVID 19 Capacity Planning and Analysis System (CPAS) began today at four hospitals in England. If the trials are successful, the tool will be rolled out across the country.
“CPAS allows individual hospitals to plan ahead, ensuring they can give the best care to every patient,” said Professor Jonathan Benger, the Chief Medical Officer of NHS Digital.
“At the same time, the wider NHS can ensure that the ventilators, other equipment, and drugs that each intensive care unit will need are in place at exactly the time they are required.
[Read: New coronavirus contact-tracing app coming to UK ‘within weeks’]
CPAS was built around a machine learning engine called Cambridge Adjutorium, which Cambridge University researchers unveiled last week.
The model was trained on data about existing COVID-19 cases, which was depersonalized but included lab results, hospitalization details, risk factors, and outcomes.
Early tests of the system produced highly accurate predictions about which patients needed ventilators or treatment in intensive care units (ICU). This convinced the NHS to industrialize the method in a capacity planning tool that hospitals across the country can use on a daily basis.
Future plans
As well as forecasting which resources hospitals need, CPAS will provide demographic and healthcare information about the patients being admitted, which will be used to compare the effects of the coronavirus between different regions.
It also offers a simulation environment, which planners can use to test alternative planning strategies, such as increasing the number of available beds or changing the profile of patients admitted to hospitals.
The NHS claims that several other countries have already expressed an interest in the system, and has high hopes that the system will outlast the pandemic.
“In the longer term, it is hoped that CPAS can be used to predict hospital length of hospital stay, discharge planning and wider intensive care demand in the time that will come after the pandemic,” said Professor Benger.
Published April 20, 2020 — 13:27 UTC
Thomas Macaulay
April 20, 2020 — 13:27 UTC
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| The NHS is using AI to predict coronavirus ventilator and ICU demand | The NHS AI predict coronavirus ventilator ICU demand TNW News Latest Hard Fork Plugged Fundamentals Read Me Growth Quarters Neural More TNW News TNW2020 Enterprise Intelligence Answers Spaces About TNW About Advertise Jobs News TNW2020 Business Index TNW X AMAs Spaces About Advertise Jobs Latest Hard Fork Plugged Fundamentals ReadMe Growth Quarters Neural Have cookie TNW uses cookies personalize content ads site easier use. We share information parties advertising analytics. Got More info Did know TECH FESTIVAL? Check Humancentric AI news analysis United Kingdom Artificial intelligence Hospital Machine learning Coronavirus The NHS AI predict coronavirus ventilator ICU demand Trials commenced today Photo Andrea Piacquadio Pexels Story Thomas Macaulay 55 Shares The UKs National Health Service NHSis trialing AI predicts demand intensive care beds ventilators coronavirus pandemic. Tests COVID 19 Capacity Planning Analysis System CPAS began today hospitals England. If trials successful, tool rolled country. CPAS allows individual hospitals plan ahead, ensuring best care patient,said Professor Jonathan Benger, Chief Medical Officer ofNHS Digital. At time, wider NHS ensure ventilators, equipment, drugs intensive care unit need place exactly time required. [Read: New coronavirus contacttracing app coming UK weeks] CPAS built machine learning engine called CambridgeAdjutorium, Cambridge University researchers unveiled week. The model trained data existing COVID19 cases, wasdepersonalized included lab results, hospitalization details, risk factors, outcomes. Early tests produced highly accurate predictions patients needed ventilators treatment intensive care units ICU. This convinced NHS industrialize method capacity planning tool hospitals country use daily basis. Future plans As forecasting resources hospitals need, CPAS provide demographic healthcare information patients admitted, compare effects coronavirus different regions. It offers simulation environment, planners use test alternative planning strategies, increasing number available beds changing profile patients admitted hospitals. The NHS claims thatseveral countries expressed system, high hopes outlast pandemic. In longer term, hoped CPAS predict hospital length hospital stay, discharge planning wider intensive care demand time come pandemic,said Professor Benger. Published April 20, 2020 13:27 UTC Thomas Macaulay April 20, 2020 13:27 UTC Corona coverage Read daily coverage tech industry responding coronavirus subscribe weekly newsletter Coronavirus Context. For tips tricks working remotely, check Growth Quarters articles follow Twitter. Read Most popular MITs AI predicts catastrophe social distancing restrictions relax soon The Heart Tech More TNW News Events Enterprise Intelligence Answers Spaces About TNW About Advertise Jobs Stay tuned Thank Weekly Daily Breaking OK 20062020. . Made Amsterdam. | 2,020 | [
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https://www.hindustantimes.com/it-s-viral/rabindranath-tagore-jayanti-2020-sisters-pay-tribute-to-bard-of-bengal-by-singing-his-songs-watch/story-cUzNtY7CvD1op8W9YbwmlM.html | 2020-05-08T00:00:00 | en | Rabindranath Tagore Jayanti 2020: Sisters pay tribute to Bard of Bengal by singing his songs. Watch - it s viral - Hindustan Times |
Rabindranath Tagore Jayanti 2020: Sisters pay tribute to Bard of Bengal by singing his songs. Watch - it s viral - Hindustan Times
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Home / It's Viral / Rabindranath Tagore Jayanti 2020: Sisters pay tribute to Bard of Bengal by singing his songs. Watch
Rabindranath Tagore Jayanti 2020: Sisters pay tribute to Bard of Bengal by singing his songs. Watch
Rabindranath Tagore Jayanti 2020: This year marks the 159th birth anniversary of the Nobel Laureate.
it-s-viral
Updated: May 08, 2020 16:57 IST
Trisha Sengupta
Hindustan Times, New Delhi
Rabindranath Tagore Jayanti 2020: The image shows the sister duo performing. (Facebook/Antara Nandy)
Rabindranath Tagore Jayanti or simply Rabindra Jayanti is a celebration in remembrance of the Nobel Laureate on his birth anniversary. This year, 2020, marks his 159th birth anniversary. Celebrated annually and globally, it falls on the 25th day of the Bengali month Boishakh. Each year, Bengalis observe the day with cultural programmes involving songs, dances, and theatre performances. Though the scenario is very different this year, it didn’t dampen people’s spirits. This video of sisters Antara and Ankita Nandy paying a virtual tribute to Kobiguru proves that perfectly.Taking to Facebook and YouTube, Antara Nandy shared a video of herself performing two beautiful songs by Rabindranath Tagore, along with her sister. The songs are called Mamo Chitte and Amaar Bela Je Jaaye.“Had there been no lockdown, there would have been little cultural functions all around West Bengal today. Here’s our little cultural function - a tribute to the Kobi guru from our balcony! This is just a humble attempt at spreading positivity! We will get through this together, family!” Nandy wrote and shared the video.Here are the sisters singing the songs in a magical voice while playing ukuleles:Since being shared just a few hours back, the video has already garnered over 3.2 lakh views and the numbers are only increasing. From writing how talented they are to thanking them for their performance, here’s how people reacted, both on Facebook and YouTube.“I’m from Assam and I’m feeling really happy that you guys have sung the songs so beautifully, in every aspect,” wrote a YouTube user. “So beautifully sung! So melodious! Lots of love to you both!” expressed another. “Overwhelmed after listening Rabindra Sangeet from your voice. Thank you. Keep it up,” commented a third.As for the Facebook users they used varied adjectives from “beautiful” to “melodious” to react.As per the Bengali calendar, Tagore’s birthday overlaps on either May 8 or May 9 on the Gregorian calendar. West Bengal celebrates the day following the Bengali calendar. However, other states observe the day as per the Gregorian calendar on May 7 annually.What do you think of this tribute by the sisters on Rabindranath Tagore Jayanti?
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https://www.hindustantimes.com/it-s-viral/rabindranath-tagore-jayanti-2020-sisters-pay-tribute-to-bard-of-bengal-by-singing-his-songs-watch/story-cUzNtY7CvD1op8W9YbwmlM.html
Sisters pay tribute to Rabindranath Tagore, sing his songs beautifully
https://www.hindustantimes.com/it-s-viral/couple-ties-knot-in-a-virtual-wedding-video-goes-viral/story-DZqGvB5okzB3axzsAfyv5K.html
Couple ties knot in a virtual wedding, video goes viral
https://www.hindustantimes.com/it-s-viral/mumbai-police-takes-cue-from-elon-musk-shares-cryptic-lockdown-mandate/story-FYPtdvifQQHCj9jatZmiJJ.html
Mumbai Police takes cue from Elon Musk, shares cryptic lockdown mandate
https://www.hindustantimes.com/it-s-viral/looks-like-raylan-the-doggo-has-adopted-these-two-tiny-kittens-as-his-children-watch/story-AbpdF7fh3Vliy3chXdVe2H.html
Raylan the doggo has adopted these two tiny kittens as his children. Watch
https://www.hindustantimes.com/it-s-viral/clip-of-dog-trying-to-skate-with-a-rock-has-netizens-thinking-about-something-else/story-kvid3Rkcvl55AB3UCihypL.html
Clip of dog trying to skate with a rock has netizens thinking about something else
| Rabindranath Tagore Jayanti 2020: Sisters pay tribute to Bard of Bengal by singing his songs. Watch | Rabindranath Tagore Jayanti 2020: Sisters pay tribute Bard Bengal singing songs. Watch viral Hindustan Times Sign Out epaper New DelhiC Today New Delhi, India May 08, 2020Friday C Humidity Wind Select city Metro cities Delhi, Mumbai, Chennai, Kolkata Other cities Noida, Gurgaon, Bengaluru, Hyderabad, Bhopal , Chandigarh , Dehradun, Indore, Jaipur, Lucknow, Patna, Ranchi Powered india cities coronavirus WFHLife opinion world cricket entertainment education trending videos tech podcasts health auto HTLS 2019 gurugram lifestyle realestate htweekend epaper sports brandstudiolive photos business htbrand stories htweekend videos realestate lifestyle tech ht school mumbai live updates ht bangla ht punjabi ADVERTISEMENT Home Its Viral Rabindranath Tagore Jayanti 2020: Sisters pay tribute Bard Bengal singing songs. Watch Rabindranath Tagore Jayanti 2020: Sisters pay tribute Bard Bengal singing songs. Watch Rabindranath Tagore Jayanti 2020: This year marks 159th birth anniversary Nobel Laureate. itsviral Updated: May 08, 2020 16:57 IST Trisha Sengupta Hindustan Times, New Delhi Rabindranath Tagore Jayanti 2020: The image shows sister duo performing. FacebookAntara Nandy Rabindranath Tagore Jayanti simply Rabindra Jayanti celebration remembrance Nobel Laureate birth anniversary. This year, 2020, marks 159th birth anniversary. Celebrated annually globally, falls 25th day Bengali month Boishakh. Each year, Bengalis observe day cultural programmes involving songs, dances, theatre performances. Though scenario different year, didnt dampen peoples spirits. This video sisters Antara Ankita Nandy paying virtual tribute Kobiguru proves perfectly.Taking Facebook YouTube, Antara Nandy shared video performing beautiful songs Rabindranath Tagore, sister. The songs called Mamo Chitte Amaar Bela Je Jaaye.Had lockdown, little cultural functions West Bengal today. Heres little cultural function tribute Kobi guru balcony This humble attempt spreading positivity We together, family Nandy wrote shared video.Here sisters singing songs magical voice playing ukuleles:Since shared hours back, video garnered 3.2 lakh views numbers increasing. From writing talented thanking performance, heres people reacted, Facebook YouTube.Im Assam Im feeling happy guys sung songs beautifully, aspect, wrote YouTube user. So beautifully sung So melodious Lots love expressed another. Overwhelmed listening Rabindra Sangeet voice. Thank you. Keep up, commented third.As Facebook users varied adjectives beautiful melodious react.As Bengali calendar, Tagores birthday overlaps May 8 May 9 Gregorian calendar. West Bengal celebrates day following Bengali calendar. However, states observe day Gregorian calendar May 7 annually.What think tribute sisters Rabindranath Tagore Jayanti? Thank subscribing daily newsletter. tags Rabindra Jayanti Rabindranath Tagore Youtube Facebook news Ahead WHO meet, chorus Covid19 probe puts China lens Aurangabad train accident: Loco pilot blew horn warn labourers, says ministry LivePeak Covid19 cases happen follow dos donts: Govt spokesperson Talk CMs regularly, partners fight Covid: Rahul PM Pak launches terrors new face Kashmir, Imran Khan follows Twitter MS reads game better Ricky: Hussey Dhoni Ponting India soon bring vehicle scrap policy: What mean Worlds biggest repatriation exercise underway: All need know trending topics COVID19 State TallyCoronavirus LiveCovid19 Cases IndiaCovid19 MumbaiPMNarendra ModiVande Bharat MissionGoods Train MaharashtraImran Khan dont miss Iulia Vantur asked marrying Salman Khan, response Baarish 2 review: Asha Negi, Sharman Joshis death hailstorms Sourav Ganguly fought players: Ashish Nehra Deepika Padukone dedicates Piku song Irrfan Khan latest news Italys Milan ticking coronavirus bomb:Report Rashed Ali Almansoori nextgen tech blogger bright future Wuhan market role coronavirus outbreak, research needed: WHO 1,000 light years away, Black hole closest Earth discovered India news News updates Hindustan Times: Indias recovery rate nears 30 cases touch 50,000 mark latest news Indias recovery rate nears 30 cases touch 50,000mark Scuffle breaks protesters, police opening liquor shops Stay are: Shivraj Chouhan appeals migrants train tragedy News India News Latest News World News Business News Opinion Analysis Columns Editorials Authors City News Delhi News Noida News Gurugram News Mumbai News Pune News Bengaluru News Ranchi News Patna News Lucknow News Kolkata News Jaipur News Chandigarh News Dehradun News Indore News Education News High School News Higher Studies Exam Results 2020 Board Exams 2020 Career News HT School UP Board Result 2020 Lifestyle Fashion Trends Health News Sex Relationships HT Brunch Entertainment News Bollywood News Hollywood News Movie Reviews Regional Movies World Cinema News TV News Music News Sports News Cricket News Football News Live Scorecard Tennis News Other Sports News ICC Cricket Rankings Cricket Schedule Useful Links Photos Videos EPaper Interactives Punjab Brand Post Sitemap Weather Today HT Newsletter Top Trends Horoscope Today Reliance JioVista deal Priyanka Chopra Rishi Kapoor Sonam Kapoor Mothers Day 2020 Google Doodle Xiaomi Mi 10 Follow on: partnersites livemint livehindustan shine desimartini ht punjabi studymate englishmate htsyndication ht brand studio healthshots ht auto ht bangla ht smartcast HT Media Limited . About Privacy policy Terms Use Disclaimer Print Ad rates Jobs Sisters pay tribute Rabindranath Tagore, sing songs beautifully Couple ties knot virtual wedding, video goes viral Mumbai Police takes cue Elon Musk, shares cryptic lockdown mandate Raylan doggo adopted tiny kittens children. Watch Clip dog trying skate rock netizens thinking | 2,020 | [
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https://www.forbes.com/sites/hodfleishman/2020/01/22/disruption-20-how-iot-and-ai-are-breaking-up-the-business-world/ | 2020-01-22T00:00:00 | en | Disruption 2.0: How IoT And AI Are Breaking Up The Business World | Disruption 2.0: How IoT And AI Are Breaking Up The Business World
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Disruption 2.0: How IoT And AI Are Breaking Up The Business World
Hod Fleishman
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Once again, businesses are under attack. We are in the midst of "Disruption 2.0," and this time, the attack comes from within. Previously, in the age of Disruption 1.0, startups were spearheading the battle against established businesses. The old corporate world appeared to be defenseless in the face of these fast, agile, tech-savvy, micro, and, at times, well-funded companies. The fuel that powered Disruption 1.0 was the fact that the technology, the talent, and the funding driving startups all existed outside the corporate walls. Startups understood how to build and ship products fast, while the corporate world did not. From Uber to Airbnb and many other successful companies in between, startups disrupted the corporate world.Startup celebrities are becoming rare; the data, tech and the opportunities are hidden behind ... [+] corporate walls. ASSOCIATED PRESSBut, slowly, the tables have begun to turn. Corporates bought startups to bring in talent. Instead of losing opportunities to VCs, corporates started to invest in startups themselves. So as not to miss opportunities, and to break away from the constraints of corporate culture, external hubs emerged, mimicking the culture and speed of startups. For a short while, it seemed that the threat of being blindsided by a startup was under control. But then two powerful new and emerging technologies began to accelerate their capabilities and influence. Each of these technologies has the potential to redefine the tech and business landscape. Combined, they are an unstoppable force. By now, you may have guessed who the culprits are: IoT and AI. IoT solves the problem of digitizing the physical world and turning physical attributes into digital bits and bytes. AI solves the problem of making sense of large amounts of data and turning this data into actions. What started as two separate technologies are becoming a united force. And the reason why these technologies open a new door for opportunities for corporates is data. Data is the fuel IoT and AI run on, and the majority of the required data is hiding behind corporate walls. 1. The Age Of AioTAt their core, IoT devices are physical assets with sensors. These sensors capture data, and this data needs to convert to business value. The term IoT, as I detailed in my previous posts, doesn't quite describe this process. A name that better describes this process is “Data Capturing Assets”. Data Capturing Assets share standard building blocks:A sensor(s)A computation unitAn energy sourceAn RF solutionAnd the ecosystem and tools developers can use to put all of these components together. The capabilities of Data Capturing Assets (DCA) have progressed significantly over the last few years:The quality and capabilities of sensors are increasingThe power of computational units is growing, while their cost is decreasingThe variety of RF options increases, to match different usage scenariosThe energy efficiency of the sensor, computation, and RF is improvingThe accessibility and tools for developers are growing, making it easier to design and build DCA's.With these improvements, we can find more use case scenarios and more business opportunities that justify placing more DCA's in the physical world, and we can streamline building and shipping DCA products. As it becomes easier to build, ship, and deploy DCAs, we see growth in the amount of data DCAs create. Emotion detection. Moving forward, if its disruptive, your'e certain to find IoT or AI in its DNA. © 2020 Bloomberg Finance LPTo handle all of this data, we need a dedicated solution. While in the old days it was enough to display the data captured by DCAs on a dashboard, relying on a human operator to make sense of the data, today this is not an option. There’s data, driving too many actions, which require split-second reactions.It is at this point that IoT and AI merge into AioT. Without the capabilities of AI, we could not leverage the amount of data DCAs can deliver nor unlock the business potential hidden within the physical world. Without Data Capturing Assets, AI would not have data descriptive of the physical world.2. Intelligent AutomationThere is a line in the sand dividing the type of value delivered by technology in the last decade and the kind of value that tech will provide in the next decade. A way to explain this line in the sand is through two prominent solutions from the past and future of tech: Phones and Drones. Here is a quick recap (you can read the full post detailing this framework here). The last decade of digital innovation was mostly driven by augmenting people's abilities via mobile phone apps ("Phones"). In contrast, Intelligent Automation will drive the business value of the coming decade. Intelligent Automation is about infusing behaviors, objects, machines, environments, and processes with more digital intelligence and automating the management and control of these assets. A drone is an excellent example of "intelligent automation." Flying drones is damn tricky. But once the flight becomes Intelligent and Automated (autonomous), a world of drone-enabled business opportunities emerges. Infusing processes, services and entire supply chains with Intelligent Automation is a tremendous business opportunity for corporates. The technology behind Intelligent Automation is AioT. It relies on massive amounts of data, which mostly resides within corporates, and it is AioT which is moving the tech and business world from Disruption 1.0 to Disruption 2.0The nice thing about drones, is that they fly themselves. Inteligent Automation will shift ... [+] responsibilities from people to machines. Getty3. Disruption 2.0 Disruption 2.0 will redefine businesses from within. If in Disruption 1.0 the external forces of the startup world pushed the business world to change, Disruption 2.0 will force a change from the inside. The data enabling AioT, Intelligent Automation, and Disruption 2.0 is within the core of companies. The more of their data companies utilize, and the more insights they gain, the more influential the outcomes of Intelligent Automation will be. This ability to do things better via better Intelligent Automation, utilization, optimization, and personalization will force businesses to redefine how they operate. Companies who will not seize this opportunity will cease to exist. They will become uncompetitive. Those who will get on the Intelligent Automation bandwagon will benefit, but they will need to redefine how they operate, specifically in relation to the role of people in their organizations. As we introduce more Intelligent Automation into organizations, people will shift from doing to monitoring and ultimately to parenting an Intelligent and Automated process. In many cases, people will be out of the loop altogether. As companies today are built around human talent (which company is not?), this is a significant disruption. There is a claim that as technology advances, it will provide people with more jobs. That could have been the case when the technology requires participation from people to complete tasks. Once the tech is independent, people are out of the loop. We are nearing the point in time in which better machines and algorithms will define the success of an organization, not the people within these organizations. Even the decision-makers, will rely heavily on assumptions, analytics, and predictions that will be provided by machines. In many cases, they already do. Just follow the blue line. Inteligent Automation is inflitrating more of our lives decisions.GettyThis storyline may all sound like some futuristic nonsense. Let's put these claims to the test. Think of how you drove to work this morning. Did a navigation app guide you through your trip and decide for you which way to go? What about the second news article you read today, was it a conscious decision or an automatic and personalized recommendation which determined what you read? How much of the manual work you do at work could go away if your company invested in more intelligent tools? If you end up in a hospital with a quick need for a prognosis of your condition, which would you prefer, a doctor who has been up for the last 14 hours and completed two operations, or an algorithm that never sleeps? What about an attorney to support you in a lawsuit - an attorney that graduated 20 years ago, or an algorithm which is up to date regarding all cases similar to yours? The list goes on: from the technology (not the person) that controlled your last flight, all the way to who (or better put, what) decided how your pension money is invested.The access we now have to data and the ability to automate decision making is Intelligent Automation. Intelligent Automation is disrupting businesses because it provides an alternative to many of the tasks people control today. Disruption 2.0 is here, and it is well on its way. Like all great revolutions, by the time we know, it's upon us, it may be too late. Will Disruption 2.0 break or build your business? It’s only a question of how soon you realize it is already underway.
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I am a serial entrepreneur with expertise driving innovation in both the startup and corporate worlds with an emphasis on IoT. Over the last 20 years, I’ve founded and ...
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| Disruption 2.0: How IoT And AI Are Breaking Up The Business World | Disruption 2.0: How IoT And AI Are Breaking Up The Business World Billionaires All Billionaires Worlds Billionaires Forbes 400 Americas Richest SelfMade Women Chinas Richest Indias Richest Indonesias Richest Koreas Richest Thailands Richest Japans Richest Australias Richest Taiwans Richest Singapores Richest Philippines Richest Hong Kongs Richest Malaysias Richest Money Politics 2020 Money Innovation All Innovation 5G AI Anaplan BrandVoice Paid Program Big Data CIO Network Cloud Cloud 100 Consumer Tech Cybersecurity Enterprise Tech Everbridge BrandVoice Paid Program ExtraHop BrandVoice Paid Program Games Green Tech Healthcare IBM Brandvoice Paid Program IBM Security BrandVoice Paid Program Japan BrandVoice Paid Program Kaiser Permanente Paid Program Oracle BrandVoice Paid Program SAP BrandVoice Paid Program Science Sharing Economy Social Media TMobile For Business BrandVoice Paid Program Venture Capital Leadership All Leadership Careers CFO Network CMO Network Crowe BrandVoice Paid Program Deloitte BrandVoice Paid Program Diversity lusion Education ForbesWomen Google Cloud BrandVoice Paid Program Leadership Strategy Under 30 Workday BrandVoice Paid Program Money All Money Banking Insurance Crypto Blockchain ETFs Mutual Funds Fintech Hedge Funds Private Equity Impact Partners BrandVoice Paid Program Investing Markets Personal Finance Refinitiv BrandVoice Paid Program Retirement Taxes U.S. Bank BrandVoice Paid Program Wealth Management Business All Business Aerospace Defense Business Reporter BrandVoice Energy Food Drink Hollywood Entertainment Manufacturing Media Mitsubishi Heavy Industries BrandVoice Paid Program Policy Real Estate Retail SportsMoney Transportation Small Business All Small Business Entrepreneurs Franchises Small Business Strategy Lifestyle All Lifestyle Amway BrandVoice Paid Program Arts Boats Planes Capital One BrandVoice Paid Program Cars Bikes Dining ForbesLife Forbes Travel Guide Spirits Travel Vices Watches Lists Advisor All Advisor The Best Credit Cards Of 2020 Best Travel Credit Cards Best Business Credit Cards Best Credit Card Sign Up Bonuses Best Rewards Credit Cards Best Student Credit Cards Best Cash Back Credit Cards Best Balance Transfer Credit Cards Best Hotel Credit Cards Best Airline Credit Cards Best First Credit Cards Best Credit Cards For Bad Credit Chase Sapphire Preferred Card Citi Double Cash Card The Platinum Card From American Express Ink Business Preferred Credit Card Bank America Premium Rewards Credit Card Chase Sapphire Reserve Card Featured 5 Innovations Changing The Future Of Food 30 Under 30 2020 ABB BrandVoice Paid Program Audemars Piguet Connoisseur Paid Program Chase Home Lending BrandVoice Paid Program Ciroc BrandVoice Paid Program Cole Haan BrandVoice Paid Program Courtyard Hotels BrandVoice Paid Program DNA Of Success Forbes Insights With IBM Services Paid Program Google Cloud AI Solutions BrandVoice Paid Program Herradura BrandVoice Paid Program HSBC Insights Paid Program Investor Forecast: 5 Key Trends Shaping Your Financial Future iShares BrandVoice Paid Program Set Up For Success: Launch Your Small Business From Scratch Set Up For Success: Scale Your Small Business Tableau BrandVoice Paid Program Voices Of Success Well Earned: The Worlds Wealthiest Celebrate New Milestones Breaking More Forbes Daily Cover Stories Forbes Editors Picks Daily Dozen Briefing Crypto Confidential Newsletters Forbes Finds Forbes Coupons Forbes 8 Forbes Video Dark Capital Forbes Magazine Investing Digest Free Issue Forbes Disruption 2.0: How IoT And AI Are Breaking Up The Business World Hod Fleishman Contributor Opinions expressed Forbes Contributors own. Leadership Strategy Share facebook Share twitter Share linkedin Once again, businesses attack. We midst Disruption 2.0, time, attack comes within. Previously, age Disruption 1.0, startups spearheading battle established businesses. The old corporate world appeared defenseless face fast, agile, techsavvy, micro, and, times, wellfunded companies.The fuel powered Disruption 1.0 fact technology, talent, funding driving startups existed outside corporate walls. Startups understood build ship products fast, corporate world not. From Uber Airbnb successful companies between, startups disrupted corporate world.Startup celebrities rare; data, tech opportunities hidden ... [] corporate walls. ASSOCIATED PRESSBut, slowly, tables begun turn. Corporates bought startups bring talent. Instead losing opportunities VCs, corporates started invest startups themselves. So miss opportunities, break away constraints corporate culture, external hubs emerged, mimicking culture speed startups. For short while, threat blindsided startup control.But powerful new emerging technologies began accelerate capabilities influence. Each technologies potential redefine tech business landscape. Combined, unstoppable force. By now, guessed culprits are: IoT AI.IoT solves problem digitizing physical world turning physical attributes digital bits bytes. AI solves problem making sense large amounts data turning data actions.What started separate technologies united force. And reason technologies open new door opportunities corporates data. Data fuel IoT AI run on, majority required data hiding corporate walls.1. The Age Of AioTAt core, IoT devices physical assets sensors. These sensors capture data, data needs convert business value. The term IoT, I detailed previous posts, doesnt process. A better describes process Data Capturing Assets.Data Capturing Assets share standard building blocks:A sensorsA computation unitAn energy sourceAn RF solutionAnd ecosystem tools developers use components together.The capabilities Data Capturing Assets DCA progressed significantly years:The quality capabilities sensors increasingThe power computational units growing, cost decreasingThe variety RF options increases, match different usage scenariosThe energy efficiency sensor, computation, RF improvingThe accessibility tools developers growing, making easier design build DCAs.With improvements, use case scenarios business opportunities justify placing DCAs physical world, streamline building shipping DCA products. As easier build, ship, deploy DCAs, growth data DCAs create. Emotion detection. Moving forward, disruptive, youre certain IoT AI DNA. 2020 Bloomberg Finance LPTo handle data, need dedicated solution. While old days display data captured DCAs dashboard, relying human operator sense data, today option. Theres data, driving actions, require splitsecond reactions.It point IoT AI merge AioT. Without capabilities AI, leverage data DCAs deliver unlock business potential hidden physical world. Without Data Capturing Assets, AI data descriptive physical world.2. Intelligent AutomationThere line sand dividing type value delivered technology decade kind value tech provide decade.A way explain line sand prominent solutions past future tech: Phones Drones.Here quick recap read post detailing framework here. The decade digital innovation driven augmenting peoples abilities mobile phone apps Phones. In contrast, Intelligent Automation drive business value coming decade. Intelligent Automation infusing behaviors, objects, machines, environments, processes digital intelligence automating management control assets. A drone excellent example intelligent automation. Flying drones damn tricky. But flight Intelligent Automated autonomous, world droneenabled business opportunities emerges. Infusing processes, services entire supply chains Intelligent Automation tremendous business opportunity corporates.The technology Intelligent Automation AioT. It relies massive amounts data, resides corporates, AioT moving tech business world Disruption 1.0 Disruption 2.0The nice thing drones, fly themselves. Inteligent Automation shift ... [] responsibilities people machines. Getty3. Disruption 2.0Disruption 2.0 redefine businesses within. If Disruption 1.0 external forces startup world pushed business world change, Disruption 2.0 force change inside. The data enabling AioT, Intelligent Automation, Disruption 2.0 core companies. The data companies utilize, insights gain, influential outcomes Intelligent Automation be.This ability things better better Intelligent Automation, utilization, optimization, personalization force businesses redefine operate. Companies seize opportunity cease exist. They uncompetitive.Those Intelligent Automation bandwagon benefit, need redefine operate, specifically relation role people organizations.As introduce Intelligent Automation organizations, people shift monitoring ultimately parenting Intelligent Automated process. In cases, people loop altogether. As companies today built human talent company not?, significant disruption. There claim technology advances, provide people jobs. That case technology requires participation people complete tasks. Once tech independent, people loop. We nearing point time better machines algorithms define success organization, people organizations. Even decisionmakers, rely heavily assumptions, analytics, predictions provided machines. In cases, do.Just follow blue line. Inteligent Automation inflitrating lives decisions.GettyThis storyline sound like futuristic nonsense. Lets claims test. Think drove work morning. Did navigation app guide trip decide way go? What second news article read today, conscious decision automatic personalized recommendation determined read? How manual work work away company invested intelligent tools? If end hospital quick need prognosis condition, prefer, doctor 14 hours completed operations, algorithm sleeps? What attorney support lawsuit attorney graduated 20 years ago, algorithm date cases similar yours?The list goes on: technology person controlled flight, way better put, decided pension money invested.The access data ability automate decision making Intelligent Automation. Intelligent Automation disrupting businesses provides alternative tasks people control today. Disruption 2.0 here, way. Like great revolutions, time know, us, late.Will Disruption 2.0 break build business? Its question soon realize underway. Follow Twitter LinkedIn. Hod Fleishman I serial entrepreneur expertise driving innovation startup corporate worlds emphasis IoT. Over 20 years, Ive founded ... Read More Print Site Feedback Tips Corrections Reprints Permissions Terms Privacy 2020 Forbes Media LLC. . AdChoices | 2,020 | [
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] | 1 | NEGATIVE | 239 |
https://rejerusalem.com/296218/global-astringent-market-size-share-trends-and-analysis-2020-to-2026-ethicon-pfizer-baxter-international-c-r-bard/ | 2020-11-10T00:00:00 | en | Global Astringent Market Size, Share, Trends and Analysis 2020 to 2026| Ethicon, Pfizer, Baxter International, C. R. Bard – re:Jerusalem |
Global Astringent Market Size, Share, Trends and Analysis 2020 to 2026| Ethicon, Pfizer, Baxter International, C. R. Bard – re:Jerusalem
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Global Astringent Market Size, Share, Trends and Analysis 2020 to 2026| Ethicon, Pfizer, Baxter International, C. R. Bard
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November 10, 2020
United States of America:- The Astringent market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
The global Astringent market size is expected to gain market growth in the forecast period of 2020 to 2026, with a CAGR of xx% in the forecast period of 2020 to 2026 and will expected to reach USD xx million by 2026, from USD xx million in 2019.
Under COVID-19 Outbreak, how the Astringent Industry will develop is also analyzed in detail in COVID Impact Chapter of this report.
For Better Understanding, Download FREE Sample Copy of Astringent Market Report(Including full TOC, Graphs, Sample Data, and Tables)@ https://www.marketreportexpert.com/report/Astringent/25017/sample
Some of top players influencing the Global Astringent market:
Ethicon, Pfizer, Baxter International, C. R. Bard, The Medicines Company, Anika Therapeutics, Advanced Medical Solutions, Integra LifeSciences, B Braun Melsungen, Gelita Medical, Equimedical, Vascular Solutions, Marine Polymer Technologies, Z-Medica, CryoLife, BioCer Entwicklungs, Biom’Up SAS
Note: We can provide market report in regional language too, German/French/Japanese. We have researched the situation of COVID-19 thoroughly and Our new sample has been updated to reflect COVID-19 Impact on industry trends. We also offer a 25% discount.
Market segmentation
Astringent market is split by Type and by Application. For the period 2015-2026, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Major type, primarily split into
Thrombin-based astringentOxidized regenerated cellulose based astringentCombination astringentGelatin-based astringentCollagen-based astringent
Major applications/end users, including
HospitalsSurgical CentersNursing Homes
Do You Have Any Query Or Specific Requirement? Ask to Our Industry Expert(Note: Our reports include the analysis of the impact of COVID-19 on this industry. Our updated sample pages shows impact of Covid-19 on Industry trends.): https://www.marketreportexpert.com/report/Astringent/25017/inquiry
This report examines all the key factors influencing growth of global Astringent market, including demand-supply scenario, pricing structure, profit margins, production and value chain analysis. Regional assessment of global Astringent market unlocks a plethora of untapped opportunities in regional and domestic market places. Detailed company profiling enables users to evaluate company shares analysis, emerging product lines, scope of NPD in new markets, pricing strategies, innovation possibilities and much more.
The Astringent market is analysed and market size information is provided by regions (countries).
The key regions covered in the Astringent market report are North America, Europe, Asia Pacific, Latin America, Middle East and Africa. It also covers key regions (countries), viz, U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of sales and revenue for the period 2015-2026.
Regional analysis is another highly comprehensive part of the research and analysis study of the global Astringent market presented in the report. This section sheds light on the sales growth of different regional and country-level Astringent markets. For the historical and forecast period 2015 to 2026, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Astringent market.
Get Table of Content, Tables, and Figures of Astringent Market Report: https://www.marketreportexpert.com/report/Astringent/25017/tableofcontent
Some of the key questions answered in this report:
What will the market growth rate, growth momentum or acceleration market carries during the forecast period?Which are the key factors driving the Astringent market?What was the size of the emerging Astringent market by value in 2020?What will be the size of the emerging Astringent market in 2026?Which region is expected to hold the highest market share in the Astringent market?What trends, challenges and barriers will impact the development and sizing of the Global Astringent market?What is sales volume, revenue, and price analysis of top manufacturers of Astringent market?What are the Astringent market opportunities and threats faced by the vendors in the global Astringent Industry?
The report’s conclusion leads into the overall scope of the Global market with respect to feasibility of investments in various segments of the market, along with a descriptive passage that outlines the feasibility of new projects that might succeed in the Global Astringent market in the near future. The report will assist understand the requirements of customers, discover problem areas and possibility to get higher, and help in the basic leadership manner of any organization. It can guarantee the success of your promoting attempt, enables to reveal the client’s competition empowering them to be one level ahead and restriction losses.
About Us
Market Report Expert is a futuristic market intelligence company, helping customers flourish their business strategies and make better decisions using actionable intelligence. With transparent information pool, we meet clients’ objectives, commitments on high standard and targeting possible prospects for SWOT analysis and market research reports.
Contact USJames ThompsonMarket Report Expert Phone: +1-816-301-6258 Email – [email protected]:-https://www.marketreportexpert.com
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| Global Astringent Market Size, Share, Trends and Analysis 2020 to 2026 | Global Astringent Market Size, Share, Trends Analysis 2020 2026 Ethicon, Pfizer, Baxter International, C. R. Bard re:Jerusalem Tuesday, November 10 2020 Trending Global Green And BioBased Solvents COVID19 Imapact Analysis Market Size, Share, Growth, Trends 20202026 Solvay S.A, AkzoNobel NV, SigmaAldrich, Arkema SA, Corbion NV Global Extra Virgin Olive Oil COVID19 Imapact Analysis Market Size, Share, Growth, Trends 20202026 Deoleo, Carbonell, Hojiblanca, Mueloliva, Borges, Olivoila, BETIS, Minerva Global Conveyer Belts Market latest demand 20202025 leading players COVID19 Analysis QingDao Rubber Six, Huanyu Group, Hebei Yichuan, YongLi, Esbelt, Sampla Belting Global Packaging Design Simulation Technology Market Growth Analysis 2020 : AVID Technologies, 3 Dassault Systems, MSC Software, ESI Group, ANSYS Insurance Fraud Detection Market: Global Opportunity Analysis Industry Forecast, 20202027 Global lusive Bathroom Product COVID19 Analysis Market Trends, Growth Demand, Opportunities Forecast To 2026 Gainsborough Baths, Geberit, Contour Showers, Dahll, Deva, Coram Showers, Gordon Ellis Methyl Methacrylate Ahesives Market Comprehensive Growth: Future Demand, Market Analysis Outlook 2026 Planting Equipment Market: Current Trends, Business Opportunities, Challenges Global Industry Analysis 2027Global Companies Deere Company., AGCO Corporation, Buhler Industries ., Kinze Manufacturing Methyl Ethyl Ketoxime MEKO Market Comprehensive Growth: Size Analysis By Leading Manufacturers With Its Application Types, Industry Demands Growth Forecast 2026 Global Microsegmentation Market Shares Analysis 20202026 : VMware, Cisco, Unisys, Varmour, Opaq Networks, Nutanix, Cloudvisory Sidebar Log In Random Article re:Jerusalem Business Health Industries International LIfestyle SciTech Sports Publish PRs HomeBusinessGlobal Astringent Market Size, Share, Trends Analysis 2020 2026 Ethicon, Pfizer, Baxter International, C. R. Bard BusinessHealthSciTech Global Astringent Market Size, Share, Trends Analysis 2020 2026 Ethicon, Pfizer, Baxter International, C. R. Bard keshav November 10, 2020 United States America:The Astringent market report provides detailed analysis global market size, regional countrylevel market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact domestic global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, technological innovations. The global Astringent market size expected gain market growth forecast period 2020 2026, CAGR xx forecast period 2020 2026 expected reach USD xx million 2026, USD xx million 2019. Under COVID19 Outbreak, Astringent Industry develop analyzed COVID Impact Chapter report. For Better Understanding, Download FREE Sample Copy Astringent Market Reportluding TOC, Graphs, Sample Data, Tables@ Some players influencing Global Astringent market: Ethicon, Pfizer, Baxter International, C. R. Bard, The Medicines Company, Anika Therapeutics, Advanced Medical Solutions, Integra LifeSciences, B Braun Melsungen, Gelita Medical, Equimedical, Vascular Solutions, Marine Polymer Technologies, ZMedica, CryoLife, BioCer Entwicklungs, BiomUp SAS Note: We provide market report regional language too, GermanFrenchJapanese. We researched situation COVID19 thoroughly Our new sample updated reflect COVID19 Impact industry trends. We offer 25 discount. Market segmentation Astringent market split Type Application. For period 20152026, growth segments provide accurate calculations forecasts sales Type Application terms volume value. This analysis help expand business targeting qualified niche markets. Majortype, primarily split Thrombinbased astringentOxidized regenerated cellulose based astringentCombination astringentGelatinbased astringentCollagenbased astringent Major applicationsend users, including HospitalsSurgical CentersNursing Homes Do You Have Any Query Or Specific Requirement? Ask Our Industry ExpertNote: Our reports include analysis impact COVID19 industry. Our updated sample shows impact Covid19 Industry trends.: This report examines key factors influencing growth global Astringent market, including demandsupply scenario, pricing structure, profit margins, production value chain analysis. Regional assessment global Astringent market unlocks plethora untapped opportunities regional domestic market places. Detailed company profiling enables users evaluate company shares analysis, emerging product lines, scope NPD new markets, pricing strategies, innovation possibilities more. The Astringent market analysed market size information provided regions countries. The key regions covered Astringent market report North America, Europe, Asia Pacific, Latin America, Middle East Africa. It covers key regions countries, viz, U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E, etc. The report includes countrywise regionwise market size period 20152026. It includes market size forecast Type, Application segment terms sales revenue period 20152026. Regional analysis highly comprehensive research analysis study global Astringent market presented report. This section sheds light sales growth different regional countrylevel Astringent markets. For historical forecast period 2015 2026, provides detailed accurate countrywise volume analysis regionwise market size analysis global Astringent market. Get Table Content, Tables, Figures Astringent Market Report: Some key questions answered report: What market growth rate, growth momentum acceleration market carries forecast period?Which key factors driving Astringent market?What size emerging Astringent market value 2020?What size emerging Astringent market 2026?Which region expected hold highest market share Astringent market?What trends, challenges barriers impact development sizing Global Astringent market?What sales volume, revenue, price analysis manufacturers Astringent market?What Astringent market opportunities threats faced vendors global Astringent Industry? The reports conclusion leads overall scope Global market respect feasibility investments segments market, descriptive passage outlines feasibility new projects succeed Global Astringent market near future. The report assist understand requirements customers, discover problem areas possibility higher, help basic leadership manner organization. It guarantee success promoting attempt, enables reveal clients competition empowering level ahead restriction losses. Market Report Expert futuristic market intelligence company, helping customers flourish business strategies better decisions actionable intelligence. With transparent information pool, meet clients objectives, commitments high standard targeting possible prospects SWOT analysis market research reports. USJames ThompsonMarket Report Expert Phone: 18163016258 Email inquiry Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print keshav Related Articles October 27, 2020 27 Global Automotive Inverter Market Insight Report 20202026 Top Manufacturers: Bosch, Continental, Denso, Mitsubishi Electric, Hyundai Mobis October 30, 2020 1 Global Infrared Nightvision Scope Market Insights, Forecasts 2026 : Yukon Advanced Optics, Orpha, Bushnell, ATN, Armasight, Starlight October 29, 2020 5 Global ADAS Softwares Market Insights Report 20202026: Electrobit, ADASENS Automotive GmbH, Intellias, Continental Automotive, FAAR Industry, Harman October 20, 2020 6 Global Remote Sensing Technology Market 2020 Trends Analysis COVID19 Effect Analysis Key Players Market With COVID19 Impact Analysis In Depth Insight Growth Research Finding TO 2025 Check Also Close Door Frame Market Analysis By Company Profiles Size Share Growth Trends Forecast To 2026 October 23, 2020 Recent Posts November 10, 2020 Floating LNG Power Vessel Market Development, Future, Importance Forecast Report 2020 2026 Waller Marine, Karpowership, Power Barge, Modec November 10, 2020 Global Medical Exoskeletons Market Overview Forecast Report 20202026 Cyberdyne, Ekso Bionics, Rewalk Robotics, Bionik Laboratories November 10, 2020 Bladeless Optical Trocars Market Share, Size, Trends Growth 2020 2026 Medtronic, Johnson Johnson, Cooper, Conmed November 10, 2020 Global Low Emissivity Coated Glass Market Future, Share, Growth, Trends Forecast 2020 Saintgobain, NSG, PPG, AGC November 10, 2020 Food Sterilization Machines Market Growth, Size, Analysis Trends 2026 JBT, Buhler, Ventilex, Surdry November 10, 2020 GPS AntiJamming System Market Analysis, Size, Trends Forecast 2020 2026 Rockwell Collins US, Raytheon Company US, NovAtel Canada, Cobham Plc UK November 10, 2020 Reed Sensors Market Research, Size, Growth And Trends 2020 2026 Oki, Littelfuse Hamlin, Standex, RMCIP November 10, 2020 Global Radar Level Gauge Market Analysis, Size, Trends Forecast 2026 ABB, Emerson Electric, Siemens AG, Schneider Electric November 10, 2020 Global Peroxyacetic Acid Market New Trends, Growth, Outlook, Overview, Application Forecast 2020 2026 Solvay, Evonik, PeroxyChem, Kemira November 10, 2020 Food lusions Market Size, Share, New Trends, Growth, Outlook And Study Report 2020 2026 Cargill, ADM, Barry Callebaut, Kerry November 10, 2020 Global Smart Irrigation Market New Trends, Size, Share, Growth, Outlook, Overview, Application Forecast 2020 2026 Rain Bird Corporation, The Toro Company, Hunter Industries, Netafim Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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https://www.cbsnews.com/news/artificial-intelligence-holocaust-remembrance-60-minutes-2020-04-03/ | 2020-04-04T00:00:00 | en | Artificial intelligence project lets Holocaust survivors share their stories forever - 60 Minutes - CBS News |
Artificial intelligence project lets Holocaust survivors share their stories forever - 60 Minutes - CBS News
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Artificial intelligence project lets Holocaust survivors share their stories forever
Aging Holocaust survivors now have the chance to record their memories in a way that will allow future generations to literally ask them about their experiences, and see and hear their answers. 60 Minutes reports, Sunday.
2020
Apr 03
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A new way to preserve Holocaust stories
Millions perished in the Holocaust, but a group of survivors will now be able to live on, at least via real-time video conversations about their experiences and perspectives, forever. In an innovative attempt to harness the artificial intelligence technologies of the present and the future to keep alive the stories of the past, Holocaust survivors may be the first people ever to be able to continue carrying on conversations (virtually, at least) even after their deaths. Lesley Stahl reports on this fascinating project on the next edition of 60 Minutes, Sunday, April 5 at 7 p.m., ET/PT on CBS. Heather Maio had worked for years on Holocaust-related exhibits and knew that "Schindler's List" director Steven Spielberg had created the Shoah Foundation to record the testimonies of thousands of Holocaust survivors. But Maio wanted to create something more interactive. "I wanted to talk to a Holocaust survivor like I would today, with that person sitting right in front of me," she told Stahl. Maio believed that artificial intelligence technology could make her notion realizable, so she pitched her idea to Stephen Smith, the executive director of the USC Shoah Foundation in Los Angeles, and now her husband. Smith was intrigued, but some of his colleagues initially feared it could cheapen, or "Disney-fy" the Holocaust. "We had a lot of pushback on this project," Smith said. "'Is it the right thing to do… Are we trying to keep them alive beyond their deaths?' Everyone had questions except for one group of people, the survivors themselves, who said, 'Where do I sign up?'" So far, more than 20 interviews, including one with a 93-year-old U.S. Army veteran who helped liberate a concentration camp, have been recorded. Each subject spends a full five days answering questions in an attempt to record responses to every question conceivable. The questions are then logged and alternative questions are entered into the database. Each interview is recorded with more than 20 cameras so that as technology advances and 3D, hologram-type display becomes the norm, all required angles will be available. Three of the survivors interviewed have since died. One of them was Eva Kor, who appeared on 60 Minutes in 1992 to tell her story of having been experimented on, along with her identical twin sister, by Nazi S.S. physician Josef Mengele. Kor died last summer, but using the Shoah foundation's technology, Stahl was able to conduct another 60 Minutes interview with Kor's digital image. What was Mengele like? "He had a gorgeous face, a movie star face, and very pleasant, actually," Kors' digital image told Stahl. "Dark hair, dark eyes. When I looked into his eyes, I could see nothing but evil. People say that the eyes are the center of the soul, and in Mengele's case, that was correct." Stahl interviewed the first Holocaust survivor filmed for the project, Pinchas Gutter, who was sent to the Majdanek concentration camp at age 11 and was the only member of his family to survive. Gutter was asked some 2,000 questions. Stahl spoke to him in person, but she also spoke to his digital image, which can now be seen in Holocaust museums in Dallas, Indiana and Illinois, where visitors can ask him their own questions. As many may wonder far into the future, Stahl asked Gutter how he can still have faith in God after the horrors he experienced. "How can you possibly not believe in God?" Gutter's digital image replied. "God gave human beings the knowledge of right and wrong and he allowed them to do what they wished on this earth, to find their own way. To my mind, when God sees what human beings are up to, especially things like genocide, he weeps."
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| Artificial intelligence project lets Holocaust survivors share their stories forever | Artificial intelligence project lets Holocaust survivors share stories forever 60 Minutes CBS News 60 Minutes Overtime CBS News CBS Evening News CBS This Morning CTM Saturday 48 Hours 60 Minutes Sunday Morning Face The Nation CBSN Originals GO Original Candids Rewind 60 Minutes facebook twitter email Artificial intelligence project lets Holocaust survivors share stories forever Aging Holocaust survivors chance record memories way allow future generations literally ask experiences, hear answers. 60 Minutes reports, Sunday. 2020 Apr 03 Facebook Twitter Reddit Flipboard A new way preserve Holocaust stories Millions perished Holocaust, group survivors able live on, realtime video conversations experiences perspectives, forever. In innovative attempt harness artificial intelligence technologies present future alive stories past, Holocaust survivors people able continue carrying conversations virtually, deaths. Lesley Stahl reports fascinating project edition 60 Minutes, Sunday, April 5 7 p.m., ETPT CBS.Heather Maio worked years Holocaustrelated exhibits knew Schindlers List director Steven Spielberg created Shoah Foundation record testimonies thousands Holocaust survivors. But Maio wanted create interactive. I wanted talk Holocaust survivor like I today, person sitting right me, told Stahl. Maio believed artificial intelligence technology notion realizable, pitched idea Stephen Smith, executive director USC Shoah Foundation Los Angeles, husband. Smith intrigued, colleagues initially feared cheapen, Disneyfy Holocaust. We lot pushback project, Smith said. Is right thing Are trying alive deaths? Everyone questions group people, survivors themselves, said, Where I sign up? So far, 20 interviews, including 93yearold U.S. Army veteran helped liberate concentration camp, recorded. Each subject spends days answering questions attempt record responses question conceivable. The questions logged alternative questions entered database. Each interview recorded 20 cameras technology advances 3D, hologramtype display norm, required angles available. Three survivors interviewed died. One Eva Kor, appeared 60 Minutes 1992 tell story experimented on, identical twin sister, Nazi S.S. physician Josef Mengele. Kor died summer, Shoah foundations technology, Stahl able conduct 60 Minutes interview Kors digital image. What Mengele like? He gorgeous face, movie star face, pleasant, actually, Kors digital image told Stahl. Dark hair, dark eyes. When I looked eyes, I evil. People eyes center soul, Mengeles case, correct.Stahl interviewed Holocaust survivor filmed project, Pinchas Gutter, sent Majdanek concentration camp age 11 member family survive. Gutter asked 2,000 questions. Stahl spoke person, spoke digital image, seen Holocaust museums Dallas, Indiana Illinois, visitors ask questions. As wonder far future, Stahl asked Gutter faith God horrors experienced. How possibly believe God? Gutters digital image replied. God gave human beings knowledge right wrong allowed wished earth, way. To mind, God sees human beings to, especially things like genocide, weeps. 2020 CBS Interactive . . Recent Segments Bren Brown: The 60 Minutes Interview Coronavirus doctors frontline Hungary paying citizens babies The economic emergency created coronavirus The race treat prevent novel coronavirus Site Map Help Us CBS Bios Careers CBSi Careers Internships Development Programs CBS News Store CBS Interactive CA PrivacyInfo We Collect CA Do Not Sell My Info Ad Choice Terms Use Mobile User Agreement About CBS Advertise Closed Captioning Facebook Twitter RSS Email Newsletters YouTube CBS News Radio CBS Local CBS News 2020 CBS Interactive .. | 2,020 | [
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https://www.wfmz.com/news/pr_newswire/pr_newswire_technology/technovation-awards-nearly-30-000-usd-in-cash-and-prizes-to-finalists-in-its-global/article_93c1b81a-b967-5ba1-b5f5-884e855420d7.html | 2020-08-14T00:00:00 | en | Technovation Awards Nearly $30,000 USD in Cash and Prizes to Finalists in its Global Artificial Intelligence and Mobile App Tech Competitions | News | wfmz.com |
Technovation Awards Nearly $30,000 USD in Cash and Prizes to Finalists in its Global Artificial Intelligence and Mobile App Tech Competitions | News | wfmz.com
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Technovation Awards Nearly $30,000 USD in Cash and Prizes to Finalists in its Global Artificial Intelligence and Mobile App Tech Competitions
Sixteen finalist teams participated in the World Summit to pitch AI and mobile app solutions tackling pressing issues like COVID-19 and climate change.
By Technovation
Aug 14, 2020
Aug 14, 2020
Updated
12 min ago
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LOS ANGELES, Aug. 14, 2020 /PRNewswire/ -- Technovation, a global technology education nonprofit, announced that two teams of girls and two family teams - representing Kazakhstan, Kuwait, India and Ireland - were named winners at its annual Technovation World Summit held virtually August 13-14. The two-day event brought together more than 1,000 members and supporters of the Technovation community from around the world. The Awards Ceremony, held during World Summit, is a culmination of the annual Technovation Girls and Technovation Families programs in which nearly 2,000 teams of girls (ages 10-18) and families (with children ages 8-16) are challenged to develop a mobile application or AI prototype to solve an issue they've identified in their community. This year, teams across 60+ countries overcame incredible odds stemming from COVID-19 to participate with the support of more than 3,500 mentors and chapter ambassadors. All finalists will receive a portion of the nearly $30,000 being awarded. The cash and prizes are intended to help further fund their education in STEM and/or assist teams in bringing their product to market.The first place teams for Technovation Girls are:Senior Division Team: Memory HavenIreland App name: Memory HavenMemory Haven helps families that have been impacted by dementia. Memory Haven incorporates a music playlist alongside other healthcare features like alerts, face and voice recognition, and health checks to help patients with dementia, as well as those who take care of them.Junior Division Team: JyothiIndiaApp name: ZeshaZesha helps both Alzheimer's patients and their caretakers by providing a digital caretaker. Zesha's features include the ability to listen to and answer repetitive questions from users using Dialogflow, patient GPS tracking, helpful daily checklists, quick-dial emergency numbers, and links to entertainment sites to help patients cope with boredom.The first place teams for Technovation Families are:Senior Division Team: Help2HearKazakhstanApp name: Help2HearHelp2Hear is an automated sign language interpreter for people with hearing disabilities. A camera records the signs a person articulates and, using AI, recognizes and interprets a person's movements into text.Junior Division Team: Al Mohammad Ali FamilyKuwaitApp name: Kuwait Birds TrackerKuwait Birds Tracker helps protect local endangered bird species by encouraging people to take a picture of a bird with their phone, and then using AI to predict what kind of bird they are looking at and suggests tips for keeping it safe, using vision-recognition tools.In addition, Memory Haven, the Technovation Girls team from Ireland, was named this year's People's Choice award recipients for their app, Memory Haven, following online voting at World Summit.Finalists from all over the world participated including girls and families from Brazil, Canada, Kenya, Pakistan, Spain, and the United States. Similarly, their projects ranged in mission—while a Pakistani family created an AI prototype to prevent child abduction, their Spanish counterparts sought to assist people with visual impairments and an American family created an app for monitoring a person's health and pain levels. Meanwhile, a team of teenage girls from Brazil built a social app to keep women and the LGBTQ+ community safe from dangerous or uncomfortable situations and a team of 5 Kenyan girls created a cross-platform app addressing government corruption. And for the first time, a team of 5 multinational girls worked together virtually to create an app addressing the exodus of children from educational institutions in underserved communities due to the COVID-19 pandemic. Technovation partners with leading community and corporate supporters, including those from Adobe, Cisco, FactSet, HSBC, Intel, GM, Google, NVIDIA, Oracle, Patrick J. McGovern Foundation, Salesforce, Vodafone and Uber to bring opportunities and access to girls and families everywhere."We are thrilled to partner with Technovation to strengthen local communities and help girls and women develop vital skills needed to be leaders in an increasingly tech-centric future," said Alison Coates, Head of Future Skills, HSBC. "Technovation creates significant and lasting change through providing opportunities to practice real-world problem solving – helping people gain innovation, decision-making and collaboration experience. At HSBC we have an ambition to help one million people in our communities to increase their employability by the end of 2020, and we are so pleased to support Technovation's amazing work as part of this effort."Recently, the UN released a report warning that the socio-economic impacts of COVID-19 could wipe out progress humanity has made over the past 50 years in education, equality and health with girls and women being the most severely impacted. Now, more than ever, we need to support local communities. Through its programs, Technovation has empowered more than 140,000 young people and parents from 100+ countries to see themselves as change makers who have the power to solve problems and lift up their communities using technology."Every year we are blown away by the tenacity of the girls and families participating in our programs around the world and the incredible empathy and creativity they apply to tackling critical, timely issues such as climate change and distance learning, or COVID-19 and mental health," said Tara Chklovski, CEO & founder, Technovation. "In a year when all of us are reeling from new and different realities brought on by the global pandemic, their resilience and determination to positively impact their communities continues to be an inspiration.""Each individual brings their own unique creativity and ideas for what our future world will look like, and how technology can be used to create it," said Marian Croak, Vice President of Site Reliability Engineering for Ads, Corporate Engineering and YouTube, at Google, Inc. "We must continue investing in girls and other historically underrepresented individuals and show them our support to keep thinking and dreaming. Our society is desperate for their minds and energy."Learn more about the finalists, Technovation, and its global programs here.About TechnovationTechnovation is a global tech education nonprofit that empowers children and adults to become more confident leaders, creators and problem-solvers. Technovation offers interactive learning programs in which young people ages 8-18 and adults in their community learn how to use AI and app-based technologies to solve real-world problems. Technovation partners with leading organizations like UNESCO and UN Women, and with mentors from companies like Google, NVIDIA and Adobe to reach children and families in more than 100 countries. To learn more, visit technovation.org.Media ContactAlexis [email protected] North for Technovation
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| Technovation Awards Nearly $30,000 USD in Cash and Prizes to Finalists in its Global Artificial Intelligence and Mobile App Tech Competitions | Technovation Awards Nearly 30,000 USD Cash Prizes Finalists Global Artificial Intelligence Mobile App Tech Competitions News You permission edit article. Edit Close Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Info Lehigh Valley Berks Regional Schools US World Sunrise Inside Your Town Espanol In Case You Missed It Recalls Missing Persons Good News Weather Forecast Hour Hour Local Radar 69News Weather Channel Stream River Levels Pocono Cameras School Business Closings Send weather report Traffic Live Streaming Cameras Cameras Alerts Lehigh Valley Traffic Berks Traffic I78 Corridor US22 Corridor Weekly Roadwork Pump Prices Sports Video Entertainment Things Do Freddy Awards Contests Music Monday Program Schedule Features Food Recipes Mr. Food Things Do What Tech? 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Updated: August 14, 2020 @ 2:51 pm Full Forecast Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Facebook Twitter YouTube Instagram Email iOS App Android App OTT Toggle navigation Home News Coronavirus Info Lehigh Valley Berks Regional Poconos Coal Region Southeastern PA Western New Jersey Schools US World Sunrise Inside Your Town Espanol Noticias Deportes Entretenimiento Comunidad Su Tierra Tiempo In Case You Missed It Recalls Missing Persons Good News Weather Forecast Hour Hour Local Radar Radar Accuweather Radar WSI Radar Lightning 69News Weather Channel Stream River Levels Pocono Cameras School Business Closings Send weather report Traffic Live Streaming Cameras Cameras Alerts Lehigh Valley Traffic Berks Traffic I78 Corridor US22 Corridor Weekly Roadwork Pump Prices Sports Video Entertainment Things Do Freddy Awards Contests Music Monday Program Schedule Features Food Recipes Mr. Food Things Do What Tech? 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By Technovation Aug 14, 2020 Aug 14, 2020 Updated 12 min ago Facebook Twitter WhatsApp SMS Email By Technovation Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save LOS ANGELES, Aug. 14, 2020 PRNewswire Technovation, global technology education nonprofit, announced teams girls family teams representing Kazakhstan, Kuwait, India Ireland named winners annual Technovation World Summit held virtually August 1314. The twoday event brought 1,000 members supporters Technovation community world. The Awards Ceremony, held World Summit, culmination annual Technovation Girls Technovation Families programs nearly 2,000 teams girls ages 1018 families children ages 816 challenged develop mobile application AI prototype solve issue theyve identified community. This year, teams 60 countries overcame incredible odds stemming COVID19 participate support 3,500 mentors chapter ambassadors.All finalists receive portion nearly 30,000 awarded. The cash prizes intended help fund education STEM andor assist teams bringing product market.The place teams Technovation Girls are:Senior Division Team: Memory HavenIreland App name: Memory HavenMemory Havenhelps families impacted dementia. Memory Haven incorporates music playlist alongside healthcare features like alerts, face voice recognition, health checks help patients dementia, care them.Junior Division Team: JyothiIndiaApp name: ZeshaZeshahelps Alzheimers patients caretakers providing digital caretaker. Zeshas features include ability listen answer repetitive questions users Dialogflow, patient GPS tracking, helpful daily checklists, quickdial emergency numbers, links entertainment sites help patients cope boredom.The place teams Technovation Families are:Senior Division Team: Help2HearKazakhstanApp name: Help2HearHelp2Hear automated sign language interpreter people hearing disabilities. A camera records signs person articulates and, AI, recognizes interprets persons movements text.Junior Division Team:Al Mohammad Ali FamilyKuwaitApp name: Kuwait Birds TrackerKuwait Birds Tracker helps protect local endangered bird species encouraging people picture bird phone, AI predict kind bird looking suggests tips keeping safe, visionrecognition tools.In addition, Memory Haven, Technovation Girls team Ireland, named years Peoples Choice award recipients app, Memory Haven, following online voting World Summit.Finalists world participated including girls families Brazil, Canada, Kenya, Pakistan, Spain, United States. Similarly, projects ranged missionwhile Pakistani family created AI prototype prevent child abduction, Spanish counterparts sought assist people visual impairments American family created app monitoring persons health pain levels. Meanwhile, team teenage girls Brazil built social app women LGBTQ community safe dangerous uncomfortable situations team 5 Kenyan girls created crossplatform app addressing government corruption. And time, team 5 multinational girls worked virtually create app addressing exodus children educational institutions underserved communities COVID19 pandemic. Technovation partners leading community corporate supporters, including Adobe, Cisco, FactSet, HSBC, Intel, GM, Google, NVIDIA, Oracle, Patrick J. McGovern Foundation, Salesforce, Vodafone Uber bring opportunities access girls families everywhere.We thrilled partner Technovation strengthen local communities help girls women develop vital skills needed leaders increasingly techcentric future, said Alison Coates, Head Future Skills, HSBC. Technovation creates significant lasting change providing opportunities practice realworld problem solving helping people gain innovation, decisionmaking collaboration experience. At HSBC ambition help million people communities increase employability end 2020, pleased support Technovations amazing work effort.Recently, UN released report warning socioeconomic impacts COVID19 wipe progress humanity past 50 years education, equality health girls women severely impacted. Now, ever, need support local communities. Through programs, Technovation empowered 140,000 young people parents 100 countries change makers power solve problems lift communities technology.Every year blown away tenacity girls families participating programs world incredible empathy creativity apply tackling critical, timely issues climate change distance learning, COVID19 mental health, said Tara Chklovski, CEO founder, Technovation. In year reeling new different realities brought global pandemic, resilience determination positively impact communities continues inspiration.Each individual brings unique creativity ideas future world look like, technology create it, said Marian Croak, Vice President Site Reliability Engineering Ads, Corporate Engineering YouTube, Google, . We continue investing girls historically underrepresented individuals support thinking dreaming. Our society desperate minds energy.Learn finalists, Technovation, global programs here.About TechnovationTechnovation global tech education nonprofit empowers children adults confident leaders, creators problemsolvers. Technovation offers interactive learning programs young people ages 818 adults community learn use AI appbased technologies solve realworld problems. Technovation partners leading organizations like UNESCO UN Women, mentors companies like Google, NVIDIA Adobe reach children families 100 countries. To learn more, visit .Media Alexis Felixtechnovation North Technovation Recommended Facebook Twitter WhatsApp SMS Email Print Save DISCLAIMER FOR COMMENTS: The views expressed public comments company affiliated companies. Please note clicking Post acknowledge read TERMS OF USE comment posting compliance terms. Your comments air. Be polite. Inappropriate posts posts containing offsite links, images, GIFs, inappropriate language, memes removed moderator. Job listings similar posts likely automated SPAM messages Facebook placed WFMZTV. 69 News afternoon NETCAST 81420 Facebook Twitter YouTube Instagram Email Right Now 82 Broken Clouds Humidity: 56 Cloud Coverage:70 Wind: 12 mph UV Index: 6 High Sunrise: 06:12:01 AM Sunset: 08:00:24 PM Today Warm sunshine high clouds; spotty shower tstorm, mainly south afternoon. Tonight Partly cloudy falling humidity. Tomorrow Partly sunny humid. 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https://venturebeat.com/2020/02/27/k-health-raises-45-million-to-apply-ai-to-telemedicine/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29 | 2020-02-27T00:00:00 | en | K Health raises $45 million to apply AI to telemedicine | VentureBeat |
K Health raises $45 million to apply AI to telemedicine | VentureBeat
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K Health raises $45 million to apply AI to telemedicine
Kyle Wiggers@Kyle_L_Wiggers February 27, 2020 6:09 AM
K Health's symptoms checker cross-references millions of patient records to deliver highly accurate results. Image Credit: K Health
Approximately 87% of all Americans are covered by some form of health insurance, but that’s not to suggest they don’t spend an exorbitant amount on regular doctor’s appointments. The average charge for patients with problems requiring comprehensive evaluations is $234, according to the Healthcare Blue Book, which doesn’t account for transportation to the office and other incurred treatment expenses. That’s no doubt why some patients choose not to show up for their checkups, a phenomenon that costs the health care industry an estimated $150 billion annually.
Allon Bloch, previously CEO of Wix and Vroom, believes the key to reducing costs might lie in telemedicine. Four years ago, he cofounded K Health, a Tel Aviv-based startup with a platform that ingests medical histories, clinical outcomes, and the experience of more than 10,000 doctors to deliver treatment information on hundreds of diseases.
In recent years, K Health has expanded substantially, thanks in part to partnerships with insurance providers like Anthem. To lay runway for further growth, it this week closed a $45 million series C financing round led by Anthem, 14W, Mangrove Capital, Lerer Hippeau, Primary Ventures, and others, bringing its total raised to $97 million following corporate rounds totaling just over $15 million.
Bloch says the funding will enable K Health to release its telemedical services in Spanish as the company “scales its model to move tech-enabled primary care to mobile devices.”
There’s a wealth of competition in the budding telemedicine market, which some analysts estimate could be worth $29.6 billion by 2022 — Doctor on Demand, HealthTap, PlushCare, Teladoc, and American Well are all competing for a slice of the pie, to name a few. But Block asserts that K Health’s AI-driven approach, combined with its proprietary medical knowledge database, gives it a leg up.
K Health’s smartphone app, K — which Bloch claims has more than 1.3 million members, growing at a rate of 10,000 to 15,000 new users a day — facilitates in-app visits from a roster of doctors with whom K users consult for a fee, assuming they live in one of the U.S. states where service is available. The said doctors review an AI-assisted triage of the patient’s symptoms, and then they diagnose, prescribe, or refer the patient as appropriate.
K sources from a database of millions of electronic health records and billions of “health events” — maladies like nausea, headaches, and vomiting — supplied by Maccabi, Israel’s second-largest health fund. Users start by downloading an app for iOS or Android and answering roughly 20 questions about their age, gender, body mass index, health history, and symptoms. A machine learning-powered backend uses the responses to build a private profile, which it compares to insights gleaned from a corpus of over 400 million clinical notes and charts.
The results page shows a list of outcomes experienced by people in similar health circumstances, along with a percentage indicating the likelihood of each diagnosis. Reports and profiles can be shared with clinicians via a HIPAA-compliant messaging feature ahead of telemedical or in-person appointments, if users so choose.
K Health recently partnered with Anthem to develop a cobranded version of K — CareSpree — that lets the carrier’s over 40 million members chat with a doctor for “less than a copay.” For in-person doctor visits, magnetic-resonance-imaging scans, and X-rays, the CareSpree enables users to schedule appointments at participating health care providers and pay a pre-negotiated price.
K Health is funded in part by Maccabi and Morris Kahn Institute for Research and Innovation, the tech incubation arm of Tel Aviv, Israel-based health maintenance organization (HMO) Maccabi Health. Profits from the app are reinvested into K Health’s database.
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| K Health raises $45 million to apply AI to telemedicine | K Health raises 45 million apply AI telemedicine VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Sponsor Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI Security Icon Helpful Links Got news tip? Press Releases VB Lab Webinars Privacy Advertise Careers Guest Posts Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Dont miss AI event year Learn More AI K Health raises 45 million apply AI telemedicine Kyle Wiggers February 27, 2020 6:09 AM K Healths symptoms checker crossreferences millions patient records deliver highly accurate results. Image Credit: K Health Approximately 87 Americans covered form health insurance, thats suggest dont spend exorbitant regular doctors appointments. The average charge patients problems requiring comprehensive evaluations 234, according Healthcare Blue Book, doesnt account transportation office incurred treatment expenses. Thats doubt patients choose checkups, phenomenon costs health care industry estimated 150 billion annually. Allon Bloch, previously CEO Wix Vroom, believes key reducing costs lie telemedicine. Four years ago, cofounded K Health, Tel Avivbased startup platform ingests medical histories, clinical outcomes, experience 10,000 doctors deliver treatment information hundreds diseases. In recent years, K Health expanded substantially, thanks partnerships insurance providers like Anthem. To lay runway growth, week closed 45 million series C financing round led Anthem, 14W, Mangrove Capital, Lerer Hippeau, Primary Ventures, others, bringing total raised 97 million following corporate rounds totaling 15 million. Bloch says funding enable K Health release telemedical services Spanish company scales model techenabled primary care mobile devices. Theres wealth competition budding telemedicine market, analysts estimate worth 29.6 billion 2022 Doctor Demand, HealthTap, PlushCare, Teladoc, American Well competing slice pie, few. But Block asserts K Healths AIdriven approach, combined proprietary medical knowledge database, gives leg up. K Healths smartphone app, K Bloch claims 1.3 million members, growing rate 10,000 15,000 new users day facilitates inapp visits roster doctors K users consult fee, assuming live U.S. states service available. The said doctors review AIassisted triage patients symptoms, diagnose, prescribe, refer patient appropriate. K sources database millions electronic health records billions health events maladies like nausea, headaches, vomiting supplied Maccabi, Israels secondlargest health fund. Users start downloading app iOS Android answering roughly 20 questions age, gender, body mass index, health history, symptoms. A machine learningpowered backend uses responses build private profile, compares insights gleaned corpus 400 million clinical notes charts. The results shows list outcomes experienced people similar health circumstances, percentage indicating likelihood diagnosis. Reports profiles shared clinicians HIPAAcompliant messaging feature ahead telemedical inperson appointments, users choose. K Health recently partnered Anthem develop cobranded version K CareSpree lets carriers 40 million members chat doctor copay. For inperson doctor visits, magneticresonanceimaging scans, Xrays, CareSpree enables users schedule appointments participating health care providers pay prenegotiated price. K Health funded Maccabi Morris Kahn Institute Research Innovation, tech incubation arm Tel Aviv, Israelbased health maintenance organization HMO Maccabi Health. Profits app reinvested K Healths database. Sign Funding Weekly start week VBs funding stories. VB Transform The AI event business leaders San Francisco July 15 16 Learn More Most Read Hearthstones Battlegrounds adds Dragons massive 16.4 update Tempos 1,995 fitness tracker taps AI improve workout routine U.S. regulators criticize Tesla Autopilot role fatal crash McAfee: Start protecting quantum computing hacks Amazon pilots AIpowered customer support agents UPCOMING EVENTS GamesBeat Summit Apr. 2829 The industrys intimate gaming event senior industry executives, developers investors. VB Transform Jul. 1516 The AI event year enterprise executives, brought todays leading AI publisher. | 2,020 | [
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http://oklahoman.com/article/feed/10008442/global-ai-in-oil-and-gas-market-2016-to-2025-featuring-ibm-intel-accenture-google-among-others-researchandmarketscom | 2020-01-27T00:00:00 | en | Global AI in Oil and Gas Market 2016 to 2025 - Featuring IBM, Intel, Accenture & Google Among Others - ResearchAndMarkets.com |
Global AI in Oil and Gas Market 2016 to 2025 - Featuring IBM, Intel, Accenture & Google Among Others - ResearchAndMarkets.com
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Global AI in Oil and Gas Market 2016 to 2025 - Featuring IBM, Intel, Accenture & Google Among Others - ResearchAndMarkets.com
by
Associated Press
Published: Mon, January 27, 2020 9:01 AM
Updated: Mon, January 27, 2020 9:02 AM
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DUBLIN--(BUSINESS WIRE)--Jan 27, 2020--
The "AI In Oil and Gas Market by Type, by Function, and by Application: Global Industry Perspective, Comprehensive Analysis, and Forecast, 2018 - 2025" report has been added to ResearchAndMarkets.com's offering.
The report covers a forecast and an analysis of the AI in oil and gas market on a global and regional level. The study provides historical information from 2016 and 2018 with a forecast from 2019 to 2025 based on revenue (USD Billion).
The study covers the key drivers and restraints of the AI in oil and gas market. It also provides the impact of the market within the forecast period. Furthermore, the study also includes the opportunities accessible within the AI in oil and gas market on a global level.
In order to offer the users of this report a comprehensive read of the AI in oil and gas market, we have enclosed a detailed value chain analysis.
The study includes a market attractiveness analysis, wherein all the segments are benchmarked supported their market size, growth rate, and general attractiveness.
The study also includes the market share of the key participants operating in the AI in oil and gas market across the globe. Additionally, the report covers the strategic development together with acquisitions & mergers, agreements, partnerships, collaborations and joint ventures, and regional growth of key players within the market on a regional basis.
The study provides a crucial view of the AI in oil and gas market by segmenting it based on product type, function, application, and region. All the segments have been analyzed based on present and the future trends and the market is estimated from 2019 to 2025. The regional classification includes Europe, North America, Latin America, Asia Pacific, and the Middle East and Africa.
Some key players in the global AI in oil and gas market are General Vision, Inbenta, FuGenX Technologies, Hortonworks, IBM, Google, Intel, Microsoft, Accenture, Sentient Technologies, Oracle, Numenta, Cisco, and Infosys.
Key Topics Covered:
1. Preface
2. Executive Summary
2.1. Global AI in Oil and Gas Market, 2016-2025 (USD Billion)
2.2. AI in Oil and Gas Market Snapshot
3. AI in Oil and Gas Market: Industry Analysis
4. Global AI in Oil and Gas Market: Value Chain Analysis
4.1. AI in Oil and Gas Market: Value Chain Analysis
4.2. List of Potential Buyers
4.3. Marketing Channel
4.3.1. Direct Marketing
4.3.2. Indirect Marketing
4.3.3. Marketing Channel Development Trend
5. Global AI in Oil and Gas Market: Competitive Landscape
5.1. Company Market Share Analysis
5.1.1. Global AI in Oil and Gas Market: Company Market Share, 2018
5.2. Strategic Development
5.2.1. Acquisitions & Mergers
5.2.2. New Product Launch
5.2.3. Agreements, Partnerships, Collaborations, and Joint Ventures
5.2.4. Research and Development and Regional Expansion
5.3. Type Portfolio
6. Global AI in Oil and Gas Market: Type Overview
6.1. Global AI in Oil and Gas Market Share, by Type, 2018 and 2025
6.2. Hardware
6.3. Software
6.4. Hybrid
7. Global AI in Oil and Gas Market: Function Overview
7.1. Global AI in Oil and Gas Market Share, by Function, 2018 and 2025
7.2. Predictive Maintenance And Machinery Inspection
7.3. Material Movement
7.4. Production Planning
7.5. Field Services
7.6. Quality Control
7.7. Reclamation
8. Global AI in Oil and Gas Market: Application Overview
8.1. Global AI in Oil and Gas Market Share, by Application, 2018 and 2025
8.2. Upstream
8.2.1. Overview
8.2.2. Global AI in Oil and Gas Market for Upstream, 2016-2025 (USD Billion)
8.3. Downstream
8.3.1. Overview
8.3.2. Global AI in Oil and Gas Market for Downstream, 2016-2025 (USD Billion)
8.4. Midstream
8.4.1. Overview
8.4.2. Global AI in Oil and Gas Market for Midstream, 2016-2025 (USD Billion)
9. Global AI in Oil and Gas Market: Regional Analysis
9.1. Global AI in Oil and Gas Market: Regional overview
9.1.1. Global AI in Oil and Gas Market Share, by Region, 2018 and 2025
9.2. North America
9.2.1. Overview
9.2.2. North America AI in Oil and Gas Market Revenue, by Type, 2016-2025 (USD Billion)
9.2.3. North America AI in Oil and Gas Market Revenue, by Function, 2016-2025 (USD Billion)
9.2.4. North America AI in Oil and Gas Market Revenue, by Application, 2016-2025 (USD Billion)
9.3. Europe
9.4. Asia Pacific
9.5. Latin America
9.6. The Middle East and Africa
10. Company Profiles
10.1. IBM
10.1.1. Overview
10.1.2. Financials
10.1.3. Product Portfolio
10.1.4. Business Strategy
10.1.5. Recent Developments
10.2. Google
10.3. Intel
10.4. Microsoft
10.5. Accenture
10.6. Sentinent Technologies
10.7. Oracle
10.8. Numenta
10.9. Cisco
10.10. Infosys
For more information about this report visit https://www.researchandmarkets.com/r/qy2zil
View source version on businesswire.com:https://www.businesswire.com/news/home/20200127005428/en/
CONTACT: ResearchAndMarkets.com
Laura Wood, Senior Press Manager
[email protected]
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
KEYWORD:
INDUSTRY KEYWORD: TECHNOLOGY ENERGY OTHER TECHNOLOGY OIL/GAS
SOURCE: Research and Markets
Copyright Business Wire 2020.
PUB: 01/27/2020 10:01 AM/DISC: 01/27/2020 10:01 AM
http://www.businesswire.com/news/home/20200127005428/en
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| Global AI in Oil and Gas Market 2016 to 2025 | Global AI Oil Gas Market 2016 2025 Featuring IBM, Intel, Accenture Google Among Others My Tools Read It Later Recently Read Newsletters Ads NewsOK HomeNewsOklahoma CityCustomizePoliticsCustomizeEducationCustomizeHealthCustomizeReligion FaithCustomizeCrime PoliceMedical MarijuanaBlogsWatchdogU.S. WorldEarthquakeObitsOngoing CoverageOklahoma HistoryContributor StoriesWeather7Day ForecastTemperaturesRadarWatches WarningsClosingsTraffic MapWeather PhotosShare Your PhotosOpinionBusinessLocal BusinessCustomizeEnergy IndustryCustomizeDowntownReal EstateTechnologyMarketsDrilling ReportsBlogsSportsOKC ThunderCustomizeOU SoonersCustomizeOSU CowboysCustomizeHigh SchoolCustomizeOKC DodgersEnergy FCBig 12 NCAANFLMLBGolfAuto RacingOutdoorTuning InBlogsLifeLocal AECustomizeFood RestaurantsCustomizeBooksCustomizeEvents CalendarMoviesTVMusicPuzzlesComicsVantageFashion StylePeople EventsHome GardenPetsTravelBlogsWeddingsAnniversariesThe OK MagazineObituariesPlace ObitPhotosOUOSUThunderHigh SchoolWeatherOklahoma CityLocal AEParties ExtraVideosBRANDINSIGHT Print ReplicaArchives ShoppingClassifiedsHomesJobsAutos ShopNewspaper Ads Accountr servicesMobileFriendly Account ManagementLog OutSettings Us Customer ServiceDigital SupportDirectoryAbout Our AdsAdvertise UsPAY YOUR AD BILLPrivacy policyTerms use The Oklahoman NewsOK Log inLog out13 developing: Nighttime rocket attack US Embassy Baghdad injured 1NewsOK: Oklahoma City News, Sports, Weather Entertainment Global AI Oil Gas Market 2016 2025 Featuring IBM, Intel, Accenture Google Among Others Associated Press Published: Mon, January 27, 2020 9:01 AM Updated: Mon, January 27, 2020 9:02 AM shares email DUBLINBUSINESS WIREJan 27, 2020 The AI In Oil Gas Market Type, Function, Application: Global Industry Perspective, Comprehensive Analysis, Forecast, 2018 2025 report added offering. The report covers forecast analysis AI oil gas market global regional level. The study provides historical information 2016 2018 forecast 2019 2025 based revenue USD Billion. The study covers key drivers restraints AI oil gas market. It provides impact market forecast period. Furthermore, study includes opportunities accessible AI oil gas market global level. In order offer users report comprehensive read AI oil gas market, enclosed detailed value chain analysis. The study includes market attractiveness analysis, segments benchmarked supported market size, growth rate, general attractiveness. The study includes market share key participants operating AI oil gas market globe. Additionally, report covers strategic development acquisitions mergers, agreements, partnerships, collaborations joint ventures, regional growth key players market regional basis. The study provides crucial view AI oil gas market segmenting based product type, function, application, region. All segments analyzed based present future trends market estimated 2019 2025. The regional classification includes Europe, North America, Latin America, Asia Pacific, Middle East Africa. Some key players global AI oil gas market General Vision, Inbenta, FuGenX Technologies, Hortonworks, IBM, Google, Intel, Microsoft, Accenture, Sentient Technologies, Oracle, Numenta, Cisco, Infosys. Key Topics Covered: 1. Preface 2. Executive Summary 2.1. Global AI Oil Gas Market, 20162025 USD Billion 2.2. AI Oil Gas Market Snapshot 3. AI Oil Gas Market: Industry Analysis 4. Global AI Oil Gas Market: Value Chain Analysis 4.1. AI Oil Gas Market: Value Chain Analysis 4.2. List Potential Buyers 4.3. Marketing Channel 4.3.1. Direct Marketing 4.3.2. Indirect Marketing 4.3.3. Marketing Channel Development Trend 5. Global AI Oil Gas Market: Competitive Landscape 5.1. Company Market Share Analysis 5.1.1. Global AI Oil Gas Market: Company Market Share, 2018 5.2. Strategic Development 5.2.1. Acquisitions Mergers 5.2.2. New Product Launch 5.2.3. Agreements, Partnerships, Collaborations, Joint Ventures 5.2.4. Research Development Regional Expansion 5.3. Type Portfolio 6. Global AI Oil Gas Market: Type Overview 6.1. Global AI Oil Gas Market Share, Type, 2018 2025 6.2. Hardware 6.3. Software 6.4. Hybrid 7. Global AI Oil Gas Market: Function Overview 7.1. Global AI Oil Gas Market Share, Function, 2018 2025 7.2. Predictive Maintenance And Machinery Inspection 7.3. Material Movement 7.4. Production Planning 7.5. Field Services 7.6. Quality Control 7.7. Reclamation 8. Global AI Oil Gas Market: Application Overview 8.1. Global AI Oil Gas Market Share, Application, 2018 2025 8.2. Upstream 8.2.1. Overview 8.2.2. Global AI Oil Gas Market Upstream, 20162025 USD Billion 8.3. Downstream 8.3.1. Overview 8.3.2. Global AI Oil Gas Market Downstream, 20162025 USD Billion 8.4. Midstream 8.4.1. Overview 8.4.2. Global AI Oil Gas Market Midstream, 20162025 USD Billion 9. Global AI Oil Gas Market: Regional Analysis 9.1. Global AI Oil Gas Market: Regional overview 9.1.1. Global AI Oil Gas Market Share, Region, 2018 2025 9.2. North America 9.2.1. Overview 9.2.2. North America AI Oil Gas Market Revenue, Type, 20162025 USD Billion 9.2.3. North America AI Oil Gas Market Revenue, Function, 20162025 USD Billion 9.2.4. North America AI Oil Gas Market Revenue, Application, 20162025 USD Billion 9.3. Europe 9.4. Asia Pacific 9.5. Latin America 9.6. The Middle East Africa 10. Company Profiles 10.1. IBM 10.1.1. Overview 10.1.2. Financials 10.1.3. Product Portfolio 10.1.4. Business Strategy 10.1.5. Recent Developments 10.2. Google 10.3. Intel 10.4. Microsoft 10.5. Accenture 10.6. Sentinent Technologies 10.7. Oracle 10.8. Numenta 10.9. Cisco 10.10. Infosys For information report visit View source version : CONTACT: Laura Wood, Senior Press Manager press For E.S.T Office Hours Call 19173000470 For U.S.CAN Toll Free Call 18005268630 For GMT Office Hours Call 35314168900 KEYWORD: INDUSTRY KEYWORD: TECHNOLOGY ENERGY OTHER TECHNOLOGY OILGAS SOURCE: Research Markets Business Wire 2020. PUB: 01272020 10:01 AMDISC: 01272020 10:01 AM Associated Press News The Associated Press, taste great journalism produced AP members customers. Managed 247 editors: apne.wsAPSocial Read Comments CommentsGlobal AI Oil Gas Market 2016 2025 Featuring IBM, Intel, Accenture Google Among Others Commenting NewsOK requires NewsOK Pro Oklahoman subscription. Log subscribe read leave comments. UsTerms Use 20062020GateHouse Media, LLC. | 2,020 | [
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https://upnewsinfo.com/2020/01/09/warner-bros-signs-ai-startup-to-help-decide-which-films-to-back/ | 2020-01-09T00:00:00 | en | Warner Bros. signs AI startup to help decide which films to back | Up News Info | Warner Bros. signs AI startup to help decide which films to back | Up News Info Sign inEntertainmentTechnologySportsHealthcareBusinessFinancial Sign in Welcome!Log into your accountyour usernameyour password Forgot your password?Privacy Policy Password recoveryRecover your passwordyour email Search EntertainmentTechnologySportsHealthcareBusinessFinancialMoreSearchEntertainmentTechnologySportsHealthcareBusinessFinancialMoreSearchHome Entertainment Warner Bros. signs AI startup to help decide which films to backEntertainmentWarner Bros. signs AI startup to help decide which films to backBy Admin0 - January 9, 2020010ShareFacebook Twitter Pinterest WhatsApp Algorithmic insights for filmmaking go mainstream Photo by Amy T. Zielinski/Getty Images Storied film studio Warner Bros. has signed a deal with Cinelytic, an LA startup that uses machine learning to predict film success. The studio will use Cinelytics algo… %%ShareFacebook Twitter Pinterest WhatsApp Admin0 RELATED ARTICLESMORE FROM AUTHOR EntertainmentLizzo and Billy Porter among the nominees for the NAACP Image Awards 2020 EntertainmentScientology wants to handle sexual assault lawsuits against member Danny Masterson under its laws EntertainmentBrandi Glanville cryptically addresses those rumors of Denise RichardsLEAVE A REPLY Cancel replyPlease enter your comment! Please enter your name here You have entered an incorrect email address!Please enter your email address here Save my name, email, and website in this browser for the next time I comment. HomeAbout UsContact usDisclaimerPrivacy Policy ©
| Warner Bros. signs AI startup to help decide which films to back | Warner Bros. signs AI startup help decide films Up News Info Sign inEntertainmentTechnologySportsHealthcareBusinessFinancial Sign WelcomeLog accountyour usernameyour password Forgot password? Password recoveryRecover passwordyour email EntertainmentTechnologySportsHealthcareBusinessFinancialMoreEntertainmentTechnologySportsHealthcareBusinessFinancialMoreHome Entertainment Warner Bros. signs AI startup help decide films backEntertainmentWarner Bros. signs AI startup help decide films backBy Admin0 January 9, 2020010ShareFacebook Twitter Pinterest WhatsApp Algorithmic insights filmmaking mainstream Photo Amy T. ZielinskiGetty Images Storied film studio Warner Bros. signed deal Cinelytic, LA startup uses machine learning predict film success. The studio use Cinelytics algo ShareFacebook Twitter Pinterest WhatsApp Admin0 RELATED ARTICLESMORE FROM AUTHOR EntertainmentLizzo Billy Porter nominees NAACP Image Awards 2020 EntertainmentScientology wants handle sexual assault lawsuits member Danny Masterson laws EntertainmentBrandi Glanville cryptically addresses rumors Denise RichardsLEAVE A REPLY Cancel replyPlease enter comment Please enter You entered incorrect email addressPlease enter email address Save name, email, website browser time I comment. Home usDisclaimer | 2,020 | [
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https://www.bioworld.com/articles/434146-researchers-explore-ways-ai-can-help-in-fight-against-covid-19 | 2020-04-02T00:00:00 | en | Researchers explore ways AI can help in fight against COVID-19 | 2020-04-02 | BioWorld |
Researchers explore ways AI can help in fight against COVID-19 | 2020-04-02 | BioWorld
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SubscribeBioWorld - Thursday, April 2, 2020Home » Researchers explore ways AI can help in fight against COVID-19Researchers explore ways AI can help in fight against COVID-19
April 2, 2020
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The novel coronavirus pandemic has been managed with widely varying degrees of success around the world. Artificial intelligence, which can help to power all sorts of efforts, has been enlisted thus far in limited ways. But researchers at a virtual conference held on April 1 by the Stanford Institute for Human-Centered Artificial Intelligence explored some of the ongoing and potential applications of AI to systematize ongoing efforts to fight COVID-19. These include automated telehealth systems, apps for tracking and tracing exposed individuals, wearables and connected devices to monitor for COVID-19 symptoms and disease progression, and at-home testing for the novel coronavirus.
China tightens grip on med-tech exports to plug loopholes after complaints
BEIJING – After its masks and test kits were said to be sent back by Western countries due to complaints over poor quality, China this week required only NMPA-approved companies export their products and stepped up regulations to ensure quality. Before the new rule, Chinese med-tech companies were not required to obtain NMPA approvals before exporting to other countries, if they had CE or FDA certificates. Now the Chinese regulators are trying to plug the loophole. Starting April 1, exporters of medical products including COVID-19 test kits, medical face masks, protective clothing, ventilators and infrared thermometers are required to provide extra documentation when they go through customs clearance.
Orthopediatrics unveils deal to buy Apifix to gain MID-C system
Warsaw, Ind.-based Orthopediatrics Corp. is scooping up Apifix Ltd., allowing it to gain the Minimally Invasive Deformity Correction system, which is used to treat adolescent idiopathic scoliosis. BTIG’s Ryan Zimmerman noted that the deal has a potential value of $67 million plus potential future revenue milestones. “The initial upfront payment has a ~$37 [million] value, composed of $2 million in cash and ~935k shares of common stock,” he added.
PTAB invokes two-step test in passing on Advanced Bionics’ petition for IPR
The U.S. Patent Trial and Appeal Board (PTAB) determined it would not take an inter partes review petitioned by Advanced Bionics Corp. in a patent dispute with Med-El Elektromedizinische. The precedential PTAB decision noted that it had invoked a two-step process for declining to take the petition, consisting of determining that the petition cited more or less the same prior art as presented to the Patent and Trademark Office, and that the patent examiner did not substantially err in determining the contested claims were patentable.
FDA greenlights Outset Medical’s Tablo for home dialysis
With the COVID-19 pandemic overwhelming hospitals and treatment centers, San Jose, Calif.-based Outset Medical Inc. scored a big win with U.S. FDA clearance of its Tablo hemodialysis system for home dialysis use. The company will begin rolling the system out for home patients in the coming months, balancing that program with demand for onsite devices to support an upswell in COVID-driven dialysis treatments.
Free access to BioWorld coronavirus articles
The articles from BioWorld’s ongoing coverage of the COVID-19 coronavirus outbreak are available at www.bioworld.com/coronavirus. Note that we have added three critical tables which are constantly updated:
Vaccines and therapeutics in development
Diagnostics on the market and in development
Clinical trials of biopharma and med-tech products affected by COVID-19
Also in the news
Allergan, Amarex, Amra Medical, Biomerica, Braintale, Castle Biosciences, Cerus, CHF Solutions, Coopercompanies, COVID Care, Curvafix, Element, Enicor, E-therapeutics, Evotec, Foracare, Fulcrum Therapeutics, GN Hearing, Haemonetics, Imaging Endpoints, Innovo, Invitae, Invo Bioscience, Jolly Good, Lantheus, Lifesignals, Medgenome, Microgendx, Misonix, Nanomosaic, Nanovibronix, Nevro, Nexgel, Orthopediatrics, Outset Medical, Progenics, Promega, Royal Philips, Science 37, Sectra, Seoul Viosys, Sensor Electronic Technology, Sera Prognostics, Siemens Healthineers, Sightglass Vision, Soliton, Tissium, Vericel, WontechRelated ArticlesResearchers call for greater role for robots in COVID-19 fight, as startups ramp effortsResearchers call for greater role for robots in COVID-19 fight, as startups ramp effortsAstrotech enters COVID-19 fight with screening instrument for lung diseases
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| Researchers explore ways AI can help in fight against COVID-19 | Researchers explore ways AI help fight COVID19 20200402 BioWorld All Clarivate Analytics websites use cookies improve online experience. They placed launched website. You change cookie settings browser. More information cookie policy. BioWorldBioWorld MedTechBioWorld AsiaSpecial reportsArtificial intelligenceCoronavirusDrugs Watch 2020Market intelligence reports Create Account Sign Out My Account BioWorld Thursday, April 2, 2020Home Researchers explore ways AI help fight COVID19Researchers explore ways AI help fight COVID19 April 2, 2020 No Comments The novel coronavirus pandemic managed widely varying degrees success world. Artificial intelligence, help power sorts efforts, enlisted far limited ways. But researchers virtual conference held April 1 Stanford Institute HumanCentered Artificial Intelligence explored ongoing potential applications AI systematize ongoing efforts fight COVID19. These include automated telehealth systems, apps tracking tracing exposed individuals, wearables connected devices monitor COVID19 symptoms disease progression, athome testing novel coronavirus. China tightens grip medtech exports plug loopholes complaints BEIJING After masks test kits said sent Western countries complaints poor quality, China week required NMPAapproved companies export products stepped regulations ensure quality. Before new rule, Chinese medtech companies required obtain NMPA approvals exporting countries, CE FDA certificates. Now Chinese regulators trying plug loophole. Starting April 1, exporters medical products including COVID19 test kits, medical face masks, protective clothing, ventilators infrared thermometers required provide extra documentation customs clearance. Orthopediatrics unveils deal buy Apifix gain MIDC Warsaw, Ind.based Orthopediatrics Corp. scooping Apifix Ltd., allowing gain Minimally Invasive Deformity Correction system, treat adolescent idiopathic scoliosis. BTIGs Ryan Zimmerman noted deal potential value 67 million plus potential future revenue milestones. The initial upfront payment 37 [million] value, composed 2 million cash 935k shares common stock, added. PTAB invokes twostep test passing Advanced Bionics petition IPR The U.S. Patent Trial Appeal Board PTAB determined inter partes review petitioned Advanced Bionics Corp. patent dispute MedEl Elektromedizinische. The precedential PTAB decision noted invoked twostep process declining petition, consisting determining petition cited prior art presented Patent Trademark Office, patent examiner substantially err determining contested claims patentable. 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https://venturebeat.com/2020/11/19/afresh-raises-13-million-for-ai-that-optimizes-grocery-supply-chains/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29 | 2020-11-19T00:00:00 | en | Afresh raises $13 million for AI that optimizes grocery supply chains | VentureBeat |
Afresh raises $13 million for AI that optimizes grocery supply chains | VentureBeat
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Afresh raises $13 million for AI that optimizes grocery supply chains
Kyle Wiggers@Kyle_L_Wiggers November 19, 2020 4:00 AM
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Best practices for a successful AI Center of Excellence
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AI-powered grocery management platform Afresh today raised $13 million in funding, a figure that a source tells VentureBeat values the company at over $100 million. The company says the capital will enable it to expand its product across functions including supply chain, store operations, and merchandising for all food categories after a year in which it doubled the size of its workforce,
Grocery stores are responsible for an estimated 10% of all U.S. food waste, which amounts to 43 billion pounds annually. According to the Guardian, the food supply chain wastes 45% of all produce, 35% of seafood, 30% of cereals, and 20% of meat and dairy products every year. Additionally, the Environmental Protection Agency estimates that food containers and packaging make up 23% of landfill waste.
Afresh, whose customers include Fresh Thyme Market, WinCo Foods, and Heinen’s, aims to combat this with solutions that optimize merchandising, ordering, and operations for fresh departments in supermarkets. The platform’s AI-based engine helps with decision-making by detecting issues to automate as much as possible while engaging associates when necessary.
Essentially, Afresh analyzes customer purchase data and forecasts product demand, taking into account headwinds like pandemic-related runs on pork and beef products. Retail managers can then use the platform to order the exact amount of fresh food they’ll need.
Afresh says it trains its machine learning models, some of which have been peer-reviewed in academic journals, on hundreds of millions of data points and thousands of features. The models attempt to predict the distribution of events along a probability spectrum, generalizing to rare events (like the pandemic) even with limited historical data.
“Our algorithms optimize customer objectives through a probabilistic, data-driven model of the future. Our flagship product enables grocers to optimize the amount of perishables they carry at any given time in any given store,” Afresh explains on its website. “We combine human-centric AI, intentionally designed workflows, and holistic systems designed to address the complexities of the fresh food supply chain that past systems simply can’t handle.”
Afresh claims that stores using its suite reduce food waste by 25% or more and see 2% to 4% top-line revenue growth and a 40% increase in produce operating margin. The company also says that each produce team member who uses Afresh saves 1-2 hours per week or more.
Afresh has competitors in Crisp, which uses data and AI to offer a similar service to grocery store customers. Online grocer Farmstead is also built around algorithms that help it predict and better manage its inventory.
But Afresh says its backers are enthusiastic about the future. Innovation Endeavors, Maersk Growth, and Baseline Ventures, who participated in the series A announced today alongside lead investor Food Retail Ventures, all previously invested in the company.
Best practices for a successful AI Center of Excellence:
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| Afresh raises $13 million for AI that optimizes grocery supply chains | Afresh raises 13 million AI optimizes grocery supply chains VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Become Member Log Out VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation Follow follow Twitter follow Facebook follow LinkedIn Follow RSS The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation Follow Follow RSS GamesBeat Games Esports PC Gaming Follow follow Twitter Follow RSS Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Afresh raises 13 million AI optimizes grocery supply chains Kyle Wiggers November 19, 2020 4:00 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: Afresh Best practices successful AI Center Excellence A guide CoEs business units Download Guide AIpowered grocery management platform Afresh today raised 13 million funding, figure source tells VentureBeat values company 100 million. The company says capital enable expand product functions including supply chain, store operations, merchandising food categories year doubled size workforce, Grocery stores responsible estimated 10 U.S. food waste, amounts 43 billion pounds annually. According Guardian, foodsupply chainwastes 45 produce, 35 seafood, 30 cereals, 20 meat dairy products year. Additionally, Environmental Protection Agency estimates food containers packaging up23 landfill waste. Afresh, customers include Fresh Thyme Market, WinCo Foods, Heinens, aims combat solutions optimize merchandising, ordering, operations fresh departments supermarkets. The platforms AIbased engine helps decisionmaking detecting issues automate possible engaging associates necessary. Essentially, Afresh analyzes customer purchase data forecasts product demand, taking account headwinds like pandemicrelated runs pork beef products. Retail managers use platform order exact fresh food theyll need. Afresh says trains machine learning models, peerreviewed academic journals, hundreds millions data points thousands features. The models attempt predict distribution events probability spectrum, generalizing rare events like pandemic limited historical data. Our algorithms optimize customer objectives probabilistic, datadriven model future. Our flagship product enables grocers optimize perishables carry given time given store, Afresh explains website. We combine humancentric AI, intentionally designed workflows, holistic systems designed address complexities fresh food supply chain past systems simply handle. Afresh claims stores suite reduce food waste 25 2 4 topline revenue growth 40 increase produce operating margin. The company says produce team member uses Afresh saves 12 hours week more. Afresh competitors Crisp, uses data AI offer similar service grocery store customers. Online grocer Farmstead built algorithms help predict better manage inventory. But Afresh says backers enthusiastic future. Innovation Endeavors, Maersk Growth, Baseline Ventures, participated series A announced today alongside lead investor Food Retail Ventures, previously invested company. Best practices successful AI Center Excellence: A guide CoEs business units Access VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. . | 2,020 | [
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https://www.stamfordadvocate.com/news/article/Does-your-AI-discriminate-15272277.php | 2020-05-15T00:00:00 | en | Does your AI discriminate? - StamfordAdvocate |
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https://www.stamfordadvocate.com/news/article/Does-your-AI-discriminate-15272277.php
Does your AI discriminate?
Julie Manning Magid, Indiana University
Published
9:01 am EDT, Friday, May 15, 2020
(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.)
Julie Manning Magid, Indiana University
(THE CONVERSATION) Women leaders like New Zealand Prime Minister Jacinda Ardern and San Francisco Mayor London Breed are receiving recognition for their quick action in the face of the COVID-19 pandemic.
But men are chosen as leaders of government around the world in vastly greater numbers.
This disparity is not confined to political leadership. In 2019, Forbes choose 100 of America’s “Most Influential Leaders,” and 99 of them were men.
The lack of diversity is not limited to gender. A survey of nonprofit sector chief executives found that 87% of survey respondents self-identified as white.
As the executive and academic director of a leadership center, I study employment discrimination and inclusion. I’ve seen that many organizations want a process where bias could be removed from identifying leaders. Investors want to invest in businesses with diverse workforces, and employees want to work in diverse organizations.
My research indicates that relying on data analytics to eliminate human bias in choosing leaders won’t help.
AI isn’t foolproof
Employers increasingly rely on algorithms to determine who advances through application portals to an interview.
As labor rights scholar Ifeoma Ajunwa writes, “Algorithmic decision-making is the civil rights issue of the 21st century.” In February 2020, the U.S. House of Representatives’ Committee on Education and Labor convened a hearing called “The Future of Work: Protecting Workers’ Civil Rights in the Digital Age.”
Hiring algorithms create a selection process that offers no transparency and is not monitored. Applicants struck from an application process – or as Ajunwa refers to it, “algorithmically blackballed” – have few legal protections.
For instance, in 2014, Amazon reportedly began developing a computer-based program to identify the best resumes submitted for jobs. The idea was to automate a process and gain efficiency, much as it has done with other aspects of its business.
However, by using computer models to observe patterns in the previous 10 years of submitted resumes to choose the best, the computer taught itself that resumes from men were preferred to a resume that included the word “women’s,” as in a women’s club or organization. Amazon subsequently abandoned the project, according to reports.
Although often historic biases are inadvertently built into algorithms and reflect human prejudices, recent scholarship by Philip M. Nichols has identified an additional threat of potential intentional manipulation of underlying algorithms to benefit third parties.
Inadvertent or intentional, the ability to detect bias of an algorithm is extremely difficult because it can occur at any stage of the development of AI, from data collection to modeling.
Therefore, although organizations have access to leadership analytical tools based on research and analysis of leadership traits, the white male leader stereotype is deeply ingrained and even sometimes perpetuated by those who themselves are diverse. This cannot be eliminated simply by developing an algorithm that selects leaders.
After the interviews
The data to build these algorithms increase exponentially.
One video interview service, HireVue, boasts of its ability to detect thousands of data points in a single 30-minute interview, from sentence structure to facial movements, to determine employability against other applicants.
Imagine the opportunity, then, for a current employer to collect data continuously to determine leadership potential and promotions of its workforce. For instance, cameras in the workplace can collect facial expressions all day at work, particularly when entering and exiting the workplace.
Increasingly, the data are not just collected during the work day or while at work, but during off-duty conduct as well. In a recent article, Professor Inara Scott identified workplace programs that gathered massive amounts of data of off-duty conduct of employees from Facebook posts and Fitbit usage, for example, without transparency about future use of the data. Employers then used those bits of data to draw correlations to predict workplace success.
As Scott notes, most workers “will likely chafe at the notion that their taste in beer, love of indie rock and preference for the Washington Post, along with thousands of other variables, can be used to determine professional development opportunities, leadership potential and future career success.”
Nonetheless, that potential exists today in workplaces, and the law simply has not caught up to the vast amount of data collected and utilized by employers wanting to know the promotion and leadership investment in its employees is supported by the data.
In many cases, employees agree to collection of meta-data without a thorough understanding of what that data can reveal and how it can be used to help or hamper a career.
[You’re smart and curious about the world. So are The Conversation’s authors and editors. You can read us daily by subscribing to our newsletter.]
This article is republished from The Conversation under a Creative Commons license. Read the original article here: https://theconversation.com/does-your-ai-discriminate-132847.
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| Does your AI discriminate? | Does AI discriminate? StamfordAdvocate Home Advocate Manage Subscription Careers Us Newsletters Advertise Us Terms Use Archives Digital edition FAQ Privacy Notice Terms Use Submissions Judge approves investigation Purdue Pharma owners finances Stamford senior softball players honored parade past Police: Domestic assault leads arrest Stamford hotel Police: Child calls 911 report domestic assault Stamford News Local Police Reports Regional National Education World Politics Opinion Science Technology Were SEEN? Election Stamford students grab book lunch Jack Cavanaugh: Tempered rejoice Stamford VE Day Jack Cavanaugh: 3 mates Stamford legends Stamford test workers nursing homes, assisted living Sports High School High School Scoreboard Pro Baseball Pro Football Pro Basketball Pro Hockey Other Sports Little League Stamford senior softball players honored parade past Jeff Jacobs: New Canaan Scholar Athlete Chris Carratu Stamfords Landsiedel post graduate year Kent New Canaan shows support NFL pick Niang driveby Business Best Of Stamford Press releases Markets Top Workplaces Judge approves investigation Purdue Pharma owners finances Stamford mall reopen May 20, return CT malls Information Services Group revenues tick Q1 Future Lord Taylors CT stores question amid reported Real Estate Entertainment Movies Music Arts Television Comics Puzzles Games Events Outdoor dining join takeout CT restaurants eye partial Arts Ideas Festival gets personal pair melodictasty WCSU art majors explore resilience, identity online exhibit NH Docs issues homemade Quarantine Student Film Living Health Home Garden Family Religion Seniors Travel Food Apple pie baking class Mikes Organic Market Stamford Did know Susan Sarandons daughter Fairfield County Stamford coffee brewers CT Magazines 40 Under 40 Class Colony vs. Rikos pizza: Barstool Sports tries settle debate Obituaries Classifieds Jobs Cars Todays Paper Insider MenuSections Does AI discriminate? Julie Manning Magid, Indiana University Published 9:01am EDT, Friday, May 15, 2020 The Conversation independent nonprofit source news, analysis commentary academic experts. Julie Manning Magid, Indiana University THE CONVERSATION Women leaders like New Zealand Prime Minister Jacinda Ardern San Francisco Mayor London Breed receiving recognition quick action face COVID19 pandemic. But men chosen leaders government world vastly greater numbers. This disparity confined political leadership. In 2019, Forbes choose 100 Americas Most Influential Leaders, 99 men. The lack diversity limited gender. A survey nonprofit sector chief executives 87 survey respondents selfidentified white. As executive academic director leadership center, I study employment discrimination inclusion. Ive seen organizations want process bias removed identifying leaders. Investors want invest businesses diverse workforces, employees want work diverse organizations. My research indicates relying data analytics eliminate human bias choosing leaders wont help. AI isnt foolproof Employers increasingly rely algorithms determine advances application portals interview. As labor rights scholar Ifeoma Ajunwa writes, Algorithmic decisionmaking civil rights issue 21st century. In February 2020, U.S. House Representatives Committee Education Labor convened hearing called The Future Work: Protecting Workers Civil Rights Digital Age. Hiring algorithms create selection process offers transparency monitored. Applicants struck application process Ajunwa refers it, algorithmically blackballed legal protections. For instance, 2014, Amazon reportedly began developing computerbased program identify best resumes submitted jobs. The idea automate process gain efficiency, aspects business. However, models observe patterns previous 10 years submitted resumes choose best, taught resumes men preferred resume included word womens, womens club organization. Amazon subsequently abandoned project, according reports. Although historic biases inadvertently built algorithms reflect human prejudices, recent scholarship Philip M. Nichols identified additional threat potential intentional manipulation underlying algorithms benefit parties. Inadvertent intentional, ability detect bias algorithm extremely difficult occur stage development AI, data collection modeling. Therefore, organizations access leadership analytical tools based research analysis leadership traits, white male leader stereotype deeply ingrained perpetuated diverse. This eliminated simply developing algorithm selects leaders. After interviews The data build algorithms increase exponentially. One video interview service, HireVue, boasts ability detect thousands data points single 30minute interview, sentence structure facial movements, determine employability applicants. Imagine opportunity, then, current employer collect data continuously determine leadership potential promotions workforce. For instance, cameras workplace collect facial expressions day work, particularly entering exiting workplace. reasingly, data collected work day work, offduty conduct well. In recent article, Professor Inara Scott identified workplace programs gathered massive amounts data offduty conduct employees Facebook posts Fitbit usage, example, transparency future use data. Employers bits data draw correlations predict workplace success. As Scott notes, workers likely chafe notion taste beer, love indie rock preference Washington Post, thousands variables, determine professional development opportunities, leadership potential future career success. Nonetheless, potential exists today workplaces, law simply caught vast data collected utilized employers wanting know promotion leadership investment employees supported data. In cases, employees agree collection metadata thorough understanding data reveal help hamper career. [Youre smart curious world. So The Conversations authors editors. You read daily subscribing newsletter.] This article republished The Conversation Creative Commons license. Read original article here: LISTEN: Exit 43 Podcast Hear latest episode new podcast Most Popular 1 Stamford Police: Dispute stimulus leads assault 2 White House open state aid despite opposition conservatives 3 Mohegan Sun extends closing; Foxwoods doubts reopening holiday 4 When CT National Guards flyover hospitals today 5 Compassionate release ordered Stamford developer imprisoned fraud 6 Democratic lawmakers questions want answered to... 7 Police: Child calls 911 report domestic assault Stamford View Comments 2020 Hearst Communications, . 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https://www.insidehighered.com/quicktakes/2020/07/02/open-society-foundations-gives-bard-100-million | 2020-07-02T00:00:00 | en | Open Society Foundations Gives Bard $100 Million |
Open Society Foundations Gives Bard $100 Million
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Title
Open Society Foundations Gives Bard $100 Million
By
Elizabeth Redden
July 2, 2020
The Open Society Foundations will give Bard College $100 million over 10 years.
The foundation, founded and chaired by the liberal financier George Soros, said the gift “will strengthen and expand Bard’s Center for Civic Engagement initiatives, which are central to both its undergraduate liberal arts curriculum and its leadership role as a founding partner of the new Open Society University Network.”
The Open Society Foundations endowed the network itself with $1 billion. The network is led by Bard and Central European University and is focused on “critical thinking, open intellectual inquiry, and fact-based research to strengthen foundations of open society amid authoritarian resurgence.” It also works on expanding educational access to “neglected and minority populations, such as incarcerated persons, the Roma, and refugees.”
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| Open Society Foundations Gives Bard $100 Million | Open Society Foundations Gives Bard 100 Million Jump Navigation Google Tag Manager Advertise About X Free Newsletters Enable Javascript log News Views Admissions Digital Learning Diversity FundRaising Careers Find A Job Career Advice Hire Faculty Staff Events Reports Data More News Opinion Jobs Enable Javascript log News Views Careers Events Reports Data Reopening Cornell Red Flags From Faculty Admissions Teaching Learning Diversity Free Newsletters Membership Advertise Hire Faculty Staff News Admissions Insider Diversity Matters Views Career Advice Blog U Surveys Webinars Events People Jobs Audio Capital Campaigns Capital Campaigns Admissions Books Technology Community Colleges Diversity Teaching Learning Global Audio Booklets More Quick Takes Print Title Open Society Foundations Gives Bard 100 Million By Elizabeth Redden July 2, 2020 The Open Society Foundations Bard College 100million 10years. The foundation, founded chaired liberal financier George Soros, said gift strengthen expand Bards Center Civic Engagement initiatives, central undergraduate liberal arts curriculum leadership role founding partner new Open Society University Network. The Open Society Foundations endowed network 1billion. The network led Bard Central European University focused critical thinking, open intellectual inquiry, factbased research strengthen foundations open society amid authoritarian resurgence. It works expanding educational access neglected minority populations, incarcerated persons, Roma, refugees. Be know.Get free daily newsletter. We retiring comments introducing Letters Editor. 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https://feedroad.com/artificial-intelligence-in-manufacturing-market-latest-innovations-drivers-and-industry-key-events-2018-2023/ | 2020-03-18T00:00:00 | en | Artificial Intelligence In Manufacturing Market: Latest Innovations, Drivers and Industry Key Events 2018 – 2023 – Feed Road |
Artificial Intelligence In Manufacturing Market: Latest Innovations, Drivers and Industry Key Events 2018 – 2023 – Feed Road
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Artificial Intelligence In Manufacturing Market: Latest Innovations, Drivers and Industry Key Events 2018 – 2023
March 18, 2020
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By
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Overview:
The manufacturing industry has seen dramatic changes in past decade and continues to undergo radical process changes in the delivery of its products. The advancement in technology and innovations are changing the market scenario and increasing the need of cost effectiveness and superior customer services. There is increasing need of implementation of technological innovations to the manufacturing processes and data to enable better decision plans, greater responsiveness to customer demands, improved product design and quality, and faster turnaround times.
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Artificial Intelligence rely on large datasets, using statistical modelling and various technologies such as machine learning and natural language processing to generate insights from the manufacturing records, data, IT systems, stock control and order processing. AI uses electronic records (ER), machine produced data from apps and sensors, factory and equipment databases, which is then being applied to material technology, factory process control, customer and supplier relationship management, logistics and warehousing management, decision making and communication of process information. Besides cost and time efficiency, various other technologies are responsible for the integration of AI in manufacturing such as the growing cloud computing and robotics market.
Market Analysis:
According to Infoholic Research,AI in manufacturing market is estimated to be $330.5 million in 2017 and is expected to reach $4,012.5 million by 2023, growing at a CAGR of 51.6% during the forecast period 2017–2023. The leading adoption of internet of things, augmented reality, digitization and 3D printing are the major reasons contributing the adoption of technology in manufacturing.
Market Segmentation Analysis:
The report provides in-depth qualitative insights, historical data, and supportable projections and assumptions about the market size. The projections featured in the report have been derived using proven research methodologies and assumptions based on the vendor’s portfolio, blogs, whitepapers, and vendors presentations. Thus, the research report serves every side of the market and is segmented based on regional markets, technology type, applications, and end-user verticals.
Regions and Vendors Analysis:
The report contains an in-depth analysis of the vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape. The key and the prominent vendors covered in the report include Google Inc., Microsoft Corporation, IBM, Apple Inc., Preferred Networks, Inc., Skymind, Inc. and others. The vendors have been identified based on the portfolio, geographical presence, marketing & distribution channels, revenue generation, and significant investments in R&D.
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The regions covered in report are North America, Europe, Asia Pacific, Latin America and Middle East and Africa. The revenue is generated mainly from North America, Europe, and Asia Pacific. North America is leading the market followed by Europe with Asia Pacific emerging in AI in manufacturing market.
Benefits
The report provides an in-depth analysis of the Global Artificial Intelligence in Manufacturing Market aiming to reduce time to market for products and services, reduce operational cost, improve accuracy, and operational performance. The major driving forces for Artificial Intelligence are the supplemental technologies such as cloud computing, cognitive analytics, and the need to shift towards cost effective solutions to make decisions in different sectors. The report discusses about technology types, applications, and regions. Furthermore, the report provides details about the major challenges impacting the market growth.
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| Artificial Intelligence In Manufacturing Market: Latest Innovations, Drivers and Industry Key Events 2018 | Artificial Intelligence In Manufacturing Market: Latest Innovations, Drivers Industry Key Events 2018 2023 Feed Road Toggle navigation Home About Our Authors Privacy Editorial Policy Feed Road Market Research Reports Market Reports Industry Analytics Industry Report Market Outlook Market Research Analysis Forecast Consumption Status Future Demands Opportunities Forecast for: Artificial Intelligence In Manufacturing Market: Latest Innovations, Drivers Industry Key Events 2018 2023 March 18, 2020 Off By [emailprotected] Overview: The manufacturing industry seen dramatic changes past decade continues undergo radical process changes delivery products. The advancement technology innovations changing market scenario increasing need cost effectiveness superior customer services. There increasing need implementation technological innovations manufacturing processes data enable better decision plans, greater responsiveness customer demands, improved product design quality, faster turnaround times. Request For Report Sample: Artificial Intelligence rely large datasets, statistical modelling technologies machine learning natural language processing generate insights manufacturing records, data, IT systems, stock control order processing. AI uses electronic records ER, machine produced data apps sensors, factory equipment databases, applied material technology, factory process control, customer supplier relationship management, logistics warehousing management, decision making communication process information. Besides cost time efficiency, technologies responsible integration AI manufacturing growing cloud computing robotics market. Market Analysis: According Infoholic Research,AI manufacturing market estimated 330.5 million 2017 expected reach 4,012.5 million 2023, growing CAGR 51.6 forecast period 20172023. The leading adoption internet things, augmented reality, digitization 3D printing major reasons contributing adoption technology manufacturing. Market Segmentation Analysis: The report provides indepth qualitative insights, historical data, supportable projections assumptions market size. The projections featured report derived proven research methodologies assumptions based vendors portfolio, blogs, whitepapers, vendors presentations. Thus, research report serves market segmented based regional markets, technology type, applications, enduser verticals. Regions Vendors Analysis: The report contains indepth analysis vendor profiles, include financial health, business units, key business priorities, SWOT, strategy, views; competitive landscape. The key prominent vendors covered report include Google ., Microsoft Corporation, IBM, Apple ., Preferred Networks, ., Skymind, . others. The vendors identified based portfolio, geographical presence, marketing distribution channels, revenue generation, significant investments RD. Early buyers upto 20 Discount [emailprotected] The regions covered report North America, Europe, Asia Pacific, Latin America Middle East Africa. The revenue generated mainly North America, Europe, Asia Pacific. North America leading market followed Europe Asia Pacific emerging AI manufacturing market. Benefits The report provides indepth analysis Global Artificial Intelligence Manufacturing Market aiming reduce time market products services, reduce operational cost, improve accuracy, operational performance. The major driving forces Artificial Intelligence supplemental technologies cloud computing, cognitive analytics, need shift cost effective solutions decisions different sectors. The report discusses technology types, applications, regions. Furthermore, report provides details major challenges impacting market growth. Make Inquiry [emailprotected] CategoryBusiness Market ResearchTagsArtificial Intelligence Manufacturing Market Artificial Intelligence In Manufacturing Market Growth Development Analysis Artificial Intelligence In Manufacturing Market latest Report Artificial Intelligence In Manufacturing Market Research Trades Artificial Intelligence In Manufacturing Market study Artificial Intelligence In Manufacturing Market Survey Artificial Intelligence In Manufacturing Market Taxonomy Artificial Intelligence In Manufacturing Market Trending Report Trends Market Research Agricultural Irrigation Machinery Market : Global Trends, Analysis Forecast 2026 Emerging Inkjet Printing Technologies Market : Latest Trends, Demand Analysis 2021 Recent Posts Global CryoElectron Microscope Market 20172026 Thermo Fisher Scientific, JEOL, Hitachi, Global PETCT Scanner Device Market Industry Analysis Forecast 20202025 Key Vendors, Market Outlook High Frequency ChestWall Oscillation Devices Market 2020: Global Industry Growth Analysis, Size, Share, Future Trends, Segmentation, Demands Top Players Updates Forecast 2025 Global Cryopump Market 20172026 SHI Cryogenics Group, Ulvac, Brooks, Leybold, Trillium Cloud Security And Vulnerability Technologies Market : Facts, Figures Analytical Insights, 2018 2026 Global Cryosurgery Units Market 20172026 JUKA, MECOTEC, Zimmer MedizinSysteme, Cryomed, KRION Global Cryotherapy Market 20172026 JUKA, MECOTEC, Zimmer MedizinSysteme, Cryomed, KRION Stationery Tape Market: Recent Industry Trends Projected Industry Growth, 2018 2025 Emerging Inkjet Printing Technologies Market : Quantitative Market Analysis, Current Future Trends, 2018 2021 Global Cryotherapy Units Market 20172026 JUKA, MECOTEC, Zimmer MedizinSysteme, Cryomed, KRION Proudly powered WordPress Theme: Envo Magazine | 2,020 | [
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https://www.americanbankingnews.com/2020/04/05/decentralized-machine-learning-price-down-5-2-over-last-week-dml.html | 2020-04-06T00:00:00 | en | Decentralized Machine Learning Price Down 5.2% Over Last Week (DML) - American Banking News |
Decentralized Machine Learning Price Down 5.2% Over Last Week (DML) - American Banking News
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Posted by ABMN Staff on Apr 5th, 2020 // No Comments
Decentralized Machine Learning (CURRENCY:DML) traded 0.8% lower against the U.S. dollar during the 24 hour period ending at 23:00 PM Eastern on April 5th. During the last seven days, Decentralized Machine Learning has traded down 5.2% against the U.S. dollar. Decentralized Machine Learning has a total market cap of $98,044.96 and approximately $9,255.00 worth of Decentralized Machine Learning was traded on exchanges in the last 24 hours. One Decentralized Machine Learning token can currently be purchased for about $0.0004 or 0.00000005 BTC on major cryptocurrency exchanges including DDEX and IDEX.
Here is how other cryptocurrencies have performed during the last 24 hours:
Get Decentralized Machine Learning alerts:
XRP (XRP) traded 0.3% lower against the dollar and now trades at $0.18 or 0.00002643 BTC.
Tether (USDT) traded 0.1% lower against the dollar and now trades at $1.00 or 0.00014646 BTC.
Bitcoin SV (BSV) traded down 1.2% against the dollar and now trades at $176.08 or 0.02573887 BTC.
InnovativeBioresearchClassic (INNBCL) traded up 114.8% against the dollar and now trades at $0.0000 or 0.00000000 BTC.
Binance Coin (BNB) traded down 1% against the dollar and now trades at $13.73 or 0.00200682 BTC.
TAGZ5 (TAGZ5) traded up 1.5% against the dollar and now trades at $3.25 or 0.00047527 BTC.
Stellar (XLM) traded up 5.1% against the dollar and now trades at $0.0439 or 0.00000642 BTC.
TRON (TRX) traded 7.6% higher against the dollar and now trades at $0.0129 or 0.00000188 BTC.
Chainlink (LINK) traded 0.2% lower against the dollar and now trades at $2.30 or 0.00033675 BTC.
COZ (COZ) traded up 26.7% against the dollar and now trades at $0.22 or 0.00004541 BTC.
Decentralized Machine Learning Profile
Decentralized Machine Learning’s genesis date was March 9th, 2018. Decentralized Machine Learning’s total supply is 272,937,007 tokens. Decentralized Machine Learning’s official Twitter account is @DecentralizedML. Decentralized Machine Learning’s official website is decentralizedml.com. The Reddit community for Decentralized Machine Learning is /r/decentralizedML and the currency’s Github account can be viewed here. Decentralized Machine Learning’s official message board is medium.com/@decentralizedml.
Buying and Selling Decentralized Machine Learning
Decentralized Machine Learning can be bought or sold on the following cryptocurrency exchanges: IDEX and DDEX. It is usually not presently possible to purchase alternative cryptocurrencies such as Decentralized Machine Learning directly using U.S. dollars. Investors seeking to acquire Decentralized Machine Learning should first purchase Ethereum or Bitcoin using an exchange that deals in U.S. dollars such as Gemini, Changelly or Coinbase. Investors can then use their newly-acquired Ethereum or Bitcoin to purchase Decentralized Machine Learning using one of the aforementioned exchanges.
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| Decentralized Machine Learning Price Down 5.2% Over Last Week (DML) | Decentralized Machine Learning Price Down 5.2 Over Last Week DML American Banking News Home About Email Newsletter Analyst Ratings Dividends Earnings Estimates Guidance Highs Lows IPOS Options SEC Filings Daily Ratings News Decentralized Machine Learning Complete form receive latest headlines analysts recommendations Decentralized Machine Learning free daily email newsletter: Follow Recent Posts Comparing Cortland Bancorp OTCMKTS:CLDB MSB Financial OTCMKTS:MSBF Decentralized Machine Learning Price Down 5.2 Over Last Week DML Reviewing Cardinal Health NYSE:CAH MultiCell Technologies NYSE:MEDS Contrasting Vivint Smart Home VVNT Its Competitors botXcoin Market Capitalization Reaches 53.93 Million BOTX Comparing Kearny Financial NASDAQ:KRNY Northfield Bancorp NASDAQ:NFBK HeadToHead Survey: TransMedics Group TMDX vs. The Competition Comparing Photronics NASDAQ:PLAB MaxLinear NASDAQ:MXL BLOC.MONEY Trading 0.7 Higher This Week BLOC Comparing Pivotal Acquisition PVT Its Peers Cabbage Market Cap Achieves 4,310.04 CAB Acute Angle Cloud AAC 24Hour Volume Hits 1.55 Million DAD Chain Market Cap Reaches 2.32 Million DAD YEE YEE Price Tops 0.0008 Major Exchanges DEX Trading Up 107.3 Over Last 7 Days DEX Bitblocks BBK Price Tops 0.0012 HashBX Achieves Market Cap 1.32 Million HBX Datacoin DTC Price Tops 0.0005 Exchanges POA Trading Up 14.8 This Week POA Bazooka Token Price Up 6.8 Over Last 7 Days BAZ Decentralized Machine Learning Price Down 5.2 Over Last Week DML Posted ABMN Staff Apr 5th, 2020 No Comments Decentralized Machine Learning CURRENCY:DML traded 0.8 lower U.S. dollar 24 hour period ending 23:00 PM Eastern April 5th. During seven days, Decentralized Machine Learning traded 5.2 U.S. dollar. Decentralized Machine Learning total market cap 98,044.96 approximately 9,255.00 worth Decentralized Machine Learning traded exchanges 24 hours. One Decentralized Machine Learning token currently purchased 0.0004 0.00000005 BTC major cryptocurrency exchanges including DDEX IDEX. Here cryptocurrencies performed 24 hours: Get Decentralized Machine Learning alerts: XRP XRP traded 0.3 lower dollar trades 0.18 0.00002643 BTC. Tether USDT traded 0.1 lower dollar trades 1.00 0.00014646 BTC. Bitcoin SV BSV traded 1.2 dollar trades 176.08 0.02573887 BTC. InnovativeBioresearchClassic INNBCL traded 114.8 dollar trades 0.0000 0.00000000 BTC. Binance Coin BNB traded 1 dollar trades 13.73 0.00200682 BTC. TAGZ5 TAGZ5 traded 1.5 dollar trades 3.25 0.00047527 BTC. Stellar XLM traded 5.1 dollar trades 0.0439 0.00000642 BTC. TRON TRX traded 7.6 higher dollar trades 0.0129 0.00000188 BTC. Chainlink LINK traded 0.2 lower dollar trades 2.30 0.00033675 BTC. COZ COZ traded 26.7 dollar trades 0.22 0.00004541 BTC. Decentralized Machine Learning Profile Decentralized Machine Learnings genesis date March 9th, 2018. Decentralized Machine Learnings total supply 272,937,007 tokens. Decentralized Machine Learnings official Twitter account Decentralized Machine Learnings official website . The Reddit community Decentralized Machine Learning rdecentralizedML currencys Github account viewed here. Decentralized Machine Learnings official message board Buying Selling Decentralized Machine Learning Decentralized Machine Learning bought sold following cryptocurrency exchanges: IDEX DDEX. It usually presently possible purchase alternative cryptocurrencies Decentralized Machine Learning directly U.S. dollars. Investors seeking acquire Decentralized Machine Learning purchase Ethereum Bitcoin exchange deals U.S. dollars Gemini, Changelly Coinbase. Investors use newlyacquired Ethereum Bitcoin purchase Decentralized Machine Learning aforementioned exchanges. Receive News Updates Decentralized Machine Learning Daily Enter email address receive concise daily summary latest news updates Decentralized Machine Learning related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSHeadToHead Survey: TransMedics Group TMDX vs. The Competition Latest News Contrasting Vivint Smart Home Its Competitors botXcoin Market Capitalization Reaches 53.93 Million Comparing Cortland Bancorp MSB Financial Decentralized Machine Learning Price Down 5.2 Over Last Week Comparing Kearny Financial Northfield Bancorp Reviewing Cardinal Health MultiCell Technologies Leave Reply Click cancel reply. Name Required Mail published Required Website Analyst Ratings Dividends Earnings Estimates Guidance Highs Lows IPOS Options SEC Filings 20062020 American Banking News | 2,020 | [
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https://www.ozy.com/the-new-and-the-next/is-artificial-intelligence-the-next-dot-com-bubble/287616/ | 2020-04-02T00:00:00 | en | Amid Economic Turbulence, Don’t Bet on Artificial Intelligence to Save Us | OZY | Amid Economic Turbulence, Don’t Bet on Artificial Intelligence to Save Us | OZYOZYA MODERN MEDIA COMPANYTVPODCASTSFESTIVALSNEWS Sign UpThe New + the NextAmid Economic Turbulence, Don’t Bet on Artificial Intelligence to Save UsThe New + the NextAmid Economic Turbulence, Don’t Bet on Artificial Intelligence to Save Us Facebook TwitterLove this?share Email article Copy linkCopy link to share with friendsCopy linkWHY YOU SHOULD CAREFor all its promise, artificial intelligence has yet to make our economies dramatically more efficient.April 2, 2020
Technology and artificial intelligence, we’re told, are creating a New Economy, where algorithms and robots do all our work for us, increasing productivity like never before. Go by the evidence, though, and the reality looks far different.
For decades, U.S. productivity grew by about 3 percent a year. After 1970, it slowed to 1.5 percent a year, then 1 percent. Today, that figure stands at 0.5 percent, and is likely to slump further from the shock of the coronavirus pandemic and mass lockdowns. But it isn’t only numbers. There’s a parallel between the evangelism around AI that we see now and a similar phenomenon we witnessed two decades ago.
The dot-com bubble was also fueled by wishful investors using novel metrics to justify ever-higher stock prices. Instead of something as old-fashioned as profits, investors counted a company’s sales, spending and website visitors. Companies responded creatively. Investors want more sales? I’ll sell something to your company and you sell it back to me. No profits for either of us, but higher sales for both of us. Investors want more spending? We’ll order another thousand Aeron chairs. Investors want more website visitors? We’ll give stuff to people who visit our website. No profits, but more traffic.
One measure of traffic was eyeballs, the number of people who visited a page; another was the number of people who stayed for at least three minutes. Even more fanciful was hits, the number of files requested when a webpage was downloaded from a server. Companies simply put dozens of images on a page, and each image loaded from the server counted as a hit.
Now we have the AI bubble, with plenty of hoopla about how computers are taking over the world. The coronavirus has only added to that rhetoric, and we’re seeing plenty of headlines along the lines of: “Five ways AI is helping fight the coronavirus.”
“AI” was the Association of National Advertisers’ Marketing Word of the Year in 2017. To cash in on the buzz, companies are slapping the AI label on mundane algorithms and advertising themselves as wizards in the field when they have barely begun to think about machine learning. Advertise first, build later.
And just like the meaningless metrics of dot-com commerce, we now have fanciful measures of the triumph of AI. In December, Stanford University released the 2019 edition of its AI Index — a 290-page document with dozens of tables and more than 100 charts — which “tracks, collates, distills and visualizes data relating to artificial intelligence.” When the AI Index was launched in 2017, a Stanford news story boasted that it “will provide a comprehensive baseline on the state of artificial intelligence and measure technological progress in the same way the gross domestic product and the S&P 500 index track the U.S. economy and the broader stock market.”
Nope. GDP is a valuable measure of the amount of goods and services
produced each quarter. Divided by hours worked, we have a useful measure of
productivity. The S&P 500 is a valuable measure of zigs and zags in the
market value of the 500 stocks in the index.
The AI Index, though, does not actually track the progress of the field, but rather reports trends related to it, from the growth in the volume of peer-reviewed AI papers — up by 300 percent between 1998 and 2018 — to increases in the number of conference attendees.
The ‘Furhat’ social robot, by Swedish Social Robotics and Conversational AI startup Fruhat Robotics.Source PATRICIA DE MELO MOREIRA/AFP via Getty
But the value of AI is not measured by these metrics any more than the value of the dot-com companies could be measured by eyeballs and hits. It would be more meaningful to assess the impact of AI on productivity in areas where there have been some successes, such as advertising, e-commerce and news. What are the challenges for AI in more complex areas such as accounting, legal, engineering and health care?
That would provide valuable insights for companies, AI startups, universities and policymakers — especially since the so-called success stories are actually shining examples of the limitations of AI at the moment. The Stanford report cites autonomous vehicles, where success has consistently lagged behind hype. Enabling vehicles to interpret and react to the innumerable objects that manned vehicles encounter on roads and highways and in parking lots, and in every type of weather, from glaring sun to falling snow, is far more complicated than identifying patterns in e-commerce or searching news stories. Autonomous vehicles are flawless in the laboratory, flawed on real highways.
It was the same with IBM Watson, once predicted to revolutionize health care, but is now a cautionary tale for those who gush about breakthrough technologies. Watson did great in the artificial world of Jeopardy!, but has overpromised and underdelivered in the real world of health care.
The speed with which firms adopted word processing, spreadsheet and presentation software in the late 1970s and early ’80s helped us foresee the adoption of enterprise software in subsequent years. In the same way, understanding the speed at which AI diffuses in retail, advertising and news will help us understand how soon it can really revolutionize accounting, legal and engineering applications and (eventually) autonomous vehicles and health care.
AI has so far feasted on low-hanging fruit, like search engines and board games. Now comes the hard part — distinguishing causal relationships from coincidences, making high-level decisions in the face of unfamiliar ambiguity and matching the wisdom and common sense that humans acquire by living in the real world. Until then, artificial intelligence, for all its potential, will have little measurable effect on the economy.
Gary Smith is Fletcher Jones professor of economics at Pomona College and the author of The AI Delusion. Jeffrey Funk is an independent technology consultant and teacher.
April 2, 2020TopicsArtificial IntelligenceBUSINESSEconomicsTECHUnited StatesLIVE CURIOUSLY FacebookBe the first to see our posts TwitterFollow the very best tweets Apple YouTube InstagramABOUT OZYMEET THE TEAMCONTACT USJOBS @ OZYPRIVACY POLICY© OZY 2020 - Terms & Conditions | Amid Economic Turbulence, Don’t Bet on Artificial Intelligence to Save Us | Amid Economic Turbulence, Dont Bet Artificial Intelligence Save Us OZYOZYA MODERN MEDIA COMPANYTVPODCASTSFESTIVALSNEWS Sign UpThe New NextAmid Economic Turbulence, Dont Bet Artificial Intelligence Save UsThe New NextAmid Economic Turbulence, Dont Bet Artificial Intelligence Save Us Facebook TwitterLove this?share Email article Copy linkCopy link share friendsCopy linkWHY YOU SHOULD CAREFor promise, artificial intelligence economies dramatically efficient.April 2, 2020 Technology artificial intelligence, told, creating New Economy, algorithms robots work us, increasing productivity like before. Go evidence, though, reality looks far different. For decades, U.S. productivity grew 3 percent year. After 1970, slowed 1.5 percent year, 1 percent. Today, figure stands 0.5 percent, likely slump shock coronavirus pandemic mass lockdowns. But isnt numbers. Theres parallel evangelism AI similar phenomenon witnessed decades ago. The dotcom bubble fueled wishful investors novel metrics justify everhigher stock prices. Instead oldfashioned profits, investors counted companys sales, spending website visitors. Companies responded creatively. Investors want sales? Ill sell company sell me. No profits us, higher sales us. Investors want spending? Well order thousand Aeron chairs. Investors want website visitors? Well stuff people visit website. No profits, traffic. One measure traffic eyeballs, number people visited ; number people stayed minutes. Even fanciful hits, number files requested web downloaded server. Companies simply dozens images , image loaded server counted hit. Now AI bubble, plenty hoopla computers taking world. The coronavirus added rhetoric, seeing plenty headlines lines of: Five ways AI helping fight coronavirus. AI Association National Advertisers Marketing Word Year 2017. To cash buzz, companies slapping theAIlabel mundane algorithms advertising wizards field barely begun think machine learning. Advertise first, build later. And like meaningless metrics dotcom commerce, fanciful measures triumph AI. In December, Stanford University released 2019 edition AI Index 290 document dozens tables 100 charts tracks, collates, distills visualizes data relating artificial intelligence. When AI Index launched 2017, Stanford news story boasted provide comprehensive baseline state artificial intelligence measure technological progress way gross domestic product SP 500 index track U.S. economy broader stock market. Nope. GDP valuable measure goods services produced quarter. Divided hours worked, useful measure productivity. The SP 500 valuable measure zigs zags market value 500 stocks index. The AI Index, though, actually track progress field, reports trends related it, growth volume peerreviewed AI papers 300 percent 1998 2018 increases number conference attendees. The Furhat social robot, Swedish Social Robotics Conversational AI startup Fruhat Robotics.Source PATRICIA DE MELO MOREIRAAFP Getty But value AI measured metrics value dotcom companies measured eyeballs hits. It meaningful assess impact AI productivity areas successes, advertising, ecommerce news. What challenges AI complex areas accounting, legal, engineering health care? That provide valuable insights companies, AI startups, universities policymakers especially socalled success stories actually shining examples limitations AI moment. The Stanford report cites autonomous vehicles, success consistently lagged hype. Enabling vehicles interpret react innumerable objects manned vehicles encounter roads highways parking lots, type weather, glaring sun falling snow, far complicated identifying patterns ecommerce searching news stories.Autonomous vehicles flawless laboratory, flawed real highways. It IBM Watson, predicted revolutionize health care,but cautionary tale gush breakthrough technologies.Watson great artificial world Jeopardy, overpromised underdelivered real world health care. The speed firms adopted word processing, spreadsheet presentation software late 1970s early 80s helped foresee adoption enterprise software subsequent years. In way, understanding speed AI diffuses retail, advertising news help understand soon revolutionize accounting, legal engineering applications eventually autonomous vehicles health care. AI far feasted lowhanging fruit, like search engines board games. Now comes hard distinguishing causal relationships coincidences, making highlevel decisions face unfamiliar ambiguity matching wisdom common sense humans acquire living real world. Until then, artificial intelligence, potential, little measurable effect economy. Gary Smith Fletcher Jones professor economics Pomona College author The AI Delusion. Jeffrey Funk independent technology consultantand teacher. April 2, 2020TopicsArtificial IntelligenceBUSINESSEconomicsTECHUnited StatesLIVE CURIOUSLY FacebookBe posts TwitterFollow best tweets Apple YouTube InstagramABOUT OZYMEET THE TEAMCONTACT USJOBS @ OZYPRIVACY POLICY OZY 2020 Terms Conditions | 2,020 | [
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https://www.sciencealert.com/artificial-intelligence | 2020-10-14T00:00:00 | en | What Is Artificial Intelligence? |
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EXPLAINER
What Is Artificial Intelligence?
Artificial intelligence (AI) refers to complex software that performs tasks in a way similar to human brains, often by sensing and responding to a feature of their environment. This could mean learning to solve problems in unexpected ways, recognising the nuances of speech, or exhibiting some form of human-like creativity.
Just as no single quality defines human thinking, no clear line differentiates more basic computer programs from AI. It can be thought of more as an ideal than a category - using our own penchant for learning and problem solving to inspire new technology and answers to some of our biggest and most complex questions.Are there different kinds of artificial intelligence?There are many different fields of AI, including 'robotics', but one of the most commonly known forms is referred to as 'machine learning'. This involves a program applying known information to new experiences and 'learning' how to take this historical information and its experiences into account in future actions.Machine learning can find patterns in large amounts of data that humans might otherwise miss. Advanced machine learning is often described as 'deep' learning. While based on the human brain, these machines could one day exist on a whole other level, outsmarting us like we outsmart chimps. Programs are expected to not just learn patterns, but make decisions that will lead to new avenues for learning that aren't anticipated by the programmer. This could involve creating novel art pieces after analysing a library of paintings, or coming up with a new game after playing through a history of computer games.
The use of AI, however, could also be more insidious. Prominent figures like Stephen Hawking and Elon Musk have been warning about the inevitable and imminent risks of AI for years. They're concerned it could soon become super intelligent and find it no longer has a need for us humans.More than 100 leaders and experts on AI have urged the United Nations to ban killer robot technology for fear of what it could ultimately do.Others, however, argue the biggest threat from AI will continue to be how humans choose to use it.Even seemingly innocuous forms of advanced AI can be used maliciously. Recently, computer scientists had to scale down a "chameleon-like" language prediction system saying it was too dangerous to release to the public.AI is already changing the world in ways we couldn't imagine just a few decades ago. But it's up to us how it shapes the future. All Explainers are determined by fact checkers to be correct and relevant at the time of publishing. Text and images may be altered, removed, or added to as an editorial decision to keep information current.
| What Is Artificial Intelligence? | What Is Artificial Intelligence? Trending Latest Sections Tech Health Space Environment Humans Physics Nature Politics Society Comment Opinion Explainers Sections Tech Health Space Environment Humans Physics Nature Politics Society Comment Opinion Explainers Facebook Twitter Instagram Daily Email RSS Feed Company Our Team Us Terms Conditions ScienceAlert Pty Ltd. . Yuichiro ChinoMomentGetty Images EXPLAINER What Is Artificial Intelligence? Artificial intelligence AI refers complex software performs tasks way similar human brains, sensing responding feature environment. This mean learning solve problems unexpected ways, recognising nuances speech, exhibiting form humanlike creativity. Just single quality defines human thinking, clear line differentiates basic programs AI. It thought ideal category penchant learning problem solving inspire new technology answers biggest complex questions.Are different kinds artificial intelligence?There different fields AI, including robotics, commonly known forms referred machine learning. This involves program applying known information new experiences learning historical information experiences account future actions.Machine learning patterns large amounts data humans miss.Advanced machine learning described deep learning. While based human brain, machines day exist level, outsmarting like outsmart chimps. Programs expected learn patterns, decisions lead new avenues learning arent anticipated programmer. This involve creating novel art pieces analysing library paintings, coming new game playing history games. The use AI, however, insidious. Prominent figures like Stephen Hawking Elon Musk warning inevitable imminent risks AI years. Theyre concerned soon super intelligent longer need humans.More 100 leaders experts AI urged United Nations ban killer robot technology fear ultimately do.Others, however, argue biggest threat AI continue humans choose use it.Even seemingly innocuous forms advanced AI maliciously. Recently, scientists scale chameleonlike language prediction saying dangerous release public.AI changing world ways imagine decades ago. But shapes future.All Explainers determined fact checkers correct relevant time publishing. Text images altered, removed, added editorial decision information current. | 2,020 | [
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https://www.charlotteobserver.com/news/business/national-business/article247736690.html | 2020-12-10T00:00:00 | en | Google CEO says company will review AI scholar’s abrupt exit | Charlotte Observer |
Google CEO says company will review AI scholar’s abrupt exit | Charlotte Observer
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National Business
Google CEO says company will review AI scholar’s abrupt exit
By MATT O’BRIEN
AP Technology Writer
December 09, 2020 07:11 PM
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FILE- In this Oct. 3, 2019 file photo, Google CEO Sundar Pichai speaks during a visit to El Centro College in Dallas. Pichai has apologized for how a prominent artificial intelligence researcher's abrupt departure last week has “seeded doubts” in the company. Pichai told Google employees in a memo Wednesday, Dec. 9, 2020 obtained by Axios that the tech company is beginning a review of the circumstances leading up to Black computer scientist Timnit Gebru's exit and how Google could have “led a more respectful process.” (AP Photo/LM Otero, File)
LM Otero
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Google CEO Sundar Pichai has apologized for how a prominent artificial intelligence researcher's abrupt departure last week has “seeded doubts” in the company. Pichai told Google employees in a Wednesday memo obtained by Axios that the tech company is beginning a review of the circumstances leading up to Black computer scientist Timnit Gebru's exit and how Google could have “led a more respectful process.” Gebru, a top scholar in the field of AI ethics, said she was fired last week. Google has referred to it as a resignation. Pichai's note doesn't call it either a firing or a resignation but says "we need to accept responsibility for the fact that a prominent Black, female leader with immense talent left Google unhappily." The dispute centered around Google's push to disassociate itself from a research paper Gebru co-authored examining the societal dangers of an AI technology used by Google. Today in Business newsletter An insider's eye on banking, finance, retail, commercial development, small business and energy/environment. Recaptcha SIGN UP This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Gebru criticized Pichai's memo Wednesday on Twitter, saying she saw “no plans for accountability” in it and because it offered no apology for what happened to her. Thousands of people, many of them Google employees, have signed an open letter showing support for Gebru and accusing Google of “unprecedented research censorship,” racism and defensiveness.
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| Google CEO says company will review AI scholar’s abrupt exit | Google CEO says company review AI scholars abrupt exit Charlotte Observer SECTIONS Skip Content Google CEO says company review AI scholars abrupt exit Charlotte Observer SUBMIT SECTIONS Eedition Customer Service Customer Service Delivery problem Vacation stopstart Place classified ad Place obituary Us Submit news tip Newsletters Coronavirus News News Local Crime Databases Education Election Politics NationWorld Special Reports North Carolina South Carolina Corrections Sports Sports Carolina Panthers Charlotte Hornets Thats Racin High Schools College Sports Charlotte 49ers Charlotte KnightsMLB Other Sports Blogs Columnists Inside NBA Prep Insiders Scott Fowler Tom Sorensen All Blogs Columns Politics Politics Elections The North Carolina Influencer Series RNC 2020 Business Business Banking Stocks Center Top Workplaces National Business Whats Store Development All Blogs Columns Living Living Food Drink Home Garden Living Here Guide CharlotteFive CharlotteFive Things Do Food Drink Around Town Retail Development Wellness Travel Worklife People ArtsCulture ArtsCulture Events Movie News Reviews MusicNightlife Television Comics Puzzles Games Opinion Opinion Editorials Influencers Opinion Kevin Siers Letters Submit Oped Submit Letter Viewpoint All Blogs Columns Blogs Columnists Peter St. Onge Celebrations Obituaries Place Obituary View Obituaries TV Listings Video All videos News Video Sports Video Living Video Crime Video Politics Video Business Video Panthers video Advertise Public Notices Jobs Homes Classifieds Place ad Mobile Apps Archives Social Facebook Twitter Instagram YouTube National Business Google CEO says company review AI scholars abrupt exit By MATT OBRIEN AP Technology Writer December 09, 2020 07:11 PM ORDER REPRINT FILE In Oct. 3, 2019 file photo, Google CEO Sundar Pichai speaks visit El Centro College Dallas. Pichai apologized prominent artificial intelligence researchers abrupt departure week seeded doubts company. Pichai told Google employees memo Wednesday, Dec. 9, 2020 obtained Axios tech company beginning review circumstances leading Black scientist Timnit Gebrus exit Google led respectful process. AP PhotoLM Otero, File LM Otero AP Google CEO Sundar Pichai apologized prominent artificial intelligence researchers abrupt departure week seeded doubts company. Pichai told Google employees Wednesday memo obtained Axios tech company beginning review circumstances leading Black scientist Timnit Gebrus exit Google led respectful process. Gebru, scholar field AI ethics, said fired week. Google referred resignation. Pichais note doesnt firing resignation says need accept responsibility fact prominent Black, female leader immense talent left Google unhappily. The dispute centered Googles push disassociate research paper Gebru coauthored examining societal dangers AI technology Google. Today Business newsletter An insiders eye banking, finance, retail, commercial development, small business energyenvironment. Recaptcha SIGN UP This site protected reCAPTCHA Google apply. Gebru criticized Pichais memo Wednesday Twitter, saying saw plans accountability offered apology happened her. Thousands people, Google employees, signed open letter showing support Gebru accusing Google unprecedented research censorship, racism defensiveness. Comments Read Next National Business Hunter Biden tax probe examining Chinese business dealings By ERIC TUCKER, MICHAEL BALSAMO JONATHAN LEMIRE Associated Press December 09, 2020 07:01 PM ORDER REPRINT The Justice Departments investigation scrutinizing Hunter Bidens taxes examining business dealings connected China, financial transactions. KEEP READING Trending Stories Mecklenburg COVID19 trends worsen. NC imposes new statewide curfew NC woman chips 50 cents ticket, hits Mega Millions jackpot family Gov. Cooper tries COVID curfew North Carolina. It probably wont enough. The chefs Charlottes favorite food trucks opening restaurant. CMS remote January students, citing worsening COVID19 spread Allaccess digital subscription ReadLocal Connect local news 1 month 3 months VIEW OFFER National Business US govt, states sue Facebook predatory conduct December 09, 2020 7:01 PM News Israels Netanyahu: Vaccination campaign begin Dec. 27 December 09, 2020 6:59 PM National Business SpaceX launches Starship highest test flight, crashlands December 09, 2020 7:06 PM National Business Montana high court upholds block mining near Yellowstone December 09, 2020 7:01 PM National Business European leagues group says theres room CL games December 09, 2020 7:01 PM National Business Missouri AG joins Texas suit aimed reversing Trump loss December 09, 2020 7:01 PM Take Us With You Realtime updates local stories want right palm hand. Charlotte Observer App View Newsletters Subscriptions Start Subscription Customer Service eEdition Vacation Hold Pay Your Bill Learn More Us Newsletters News Education Photo Store Archives Advertising Information Place Classified Do Not Sell My Personal Information | 2,020 | [
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https://inews.co.uk/opinion/we-shouldnt-write-off-government-algorithms-yet-ai-can-be-used-to-improve-lives-653402 | 2020-09-19T00:00:00 | en | We shouldn't write off government algorithms yet - AI can be used to improve lives | We shouldn't write off government algorithms yet - AI can be used to improve lives☰NewsUKPoliticsBrexitWorldHealthEducationTechnologyScienceEnvironmentBusinessMediaLong ReadsConsumerNorthern IrelandScotlandReal LifeOpinionColumnistsCommentEditorYour ViewsLifestyleTravelFood and DrinkWellbeingMoneyPeopleWorkWomenHomes and GardensShoppingHow ToChristmasCarsCultureTVFilmMusicArtsBooksGamingRadioSportCricketFootballFormula 1Rugby UnionibuysTechHome & GardenBaby & ChildFashion & BeautyFood & DrinkSports & FitnessTravel & OutdoorBooks & StationeryChristmasDistractionsJokesOffbeatQuizzesFollow UsThe i newsletter cut through the noiseEmail address is invalidEmail address is invalid☰NewsUKPoliticsBrexitWorldHealthEducationTechnologyScienceEnvironmentBusinessLong ReadsOpinionColumnistsCommentEditorYour ViewsLifestyleTravelFood and DrinkWellbeingMoneyPeopleWomenHomes and GardensCarsDistractionsCultureTVFilmMusicArtsBooksGamingRadioSportFootballCricketRugby UnionFormula 1SearchOpinionWe shouldn’t write off government algorithms yet – AI can be used to improve livesWe should consider benefits as well as risks and demand a more responsible approach to AI development and deploymentBy i AcademicsSeptember 18, 2020 2:52 pmOne example of this is the Intelligent Street Lighting project being trialled by Glasgow City Council. It uses an algorithm to process real time sensor data on noise, air pollution and footfall around the city and control street lighting in reaction to people’s use of cycle paths and open spaces.
(Richard Baker via Getty Images)Algorithms have taken a lot of flak recently, particularly those being used by the government and other public bodies in the UK. The controversial algorithm used to award student grades caused a huge public outcry, but national and local governments and several police forces have been withdrawing other algorithms and artificial intelligence tools from use throughout the year in response to legal challenges and design failures.This has quite rightly brought it home to public sector organisations that a more critical approach to AI and algorithmic decision-making is needed. But there are many cases in which government bodies can deploy such technology in lower risk, high-impact scenarios that can improve lives, particularly if they don’t directly use personal data.So before we leap full pelt into AI cynicism we should consider benefits as well as risks it offers, and demand a more responsible approach to AI development and deployment.i's opinion newsletter: talking points from todayEmail address is invalidEmail address is invalidOne example of this is the Intelligent Street Lighting project being trialled by Glasgow City Council. It uses an algorithm to process real time sensor data on noise, air pollution and footfall around the city and control street lighting in reaction to people’s use of cycle paths and open spaces.The aim is to immediately improve safety but also allow for better city planning and environmental protection. Importantly, this project is being properly trialled and is open to public scrutiny, which will help address people’s concerns and needs.Similarly, Liverpool City Council is working with the company Red Ninja on the Life First Emergency Traffic Control project, which aims to cut ambulance journey times by up to 40%. A new algorithm works within the existing traffic signal system to prioritise emergency vehicles, aiming to reduce congestion ahead of emergency vehicles and save critical minutes on ambulance response times.Governments can also use AI for many low-risk jobs which do not directly aim to predict human behaviour or make decisions directly affecting individuals. For example, National Grid uses AI and drones to inspect 7,200 miles of overhead power lines in England and Wales.It is are able to assess the steelwork, wear and corrosion and faults to conductors. This speeds up inspection, saving time and money and allows human engineers to focus on repairs and improvements, producing a more reliable energy supply.The Driver and Vehicle Standards Agency (DVSA) has used AI to improve MOT testing by using AI to analyse the vast amount of testing data to develop risk scores for garages and identify potentially underperforming centres. This has reduced enforcement visits by 50%.The counterpart Driver and Vehicle Licensing Agency (DVLA) used a natural language processing algorithm to develop a chatbot to deal with customer enquiries. This is integrated into a single customer service platform so that staff can monitor all customer interactions by phone, email, webchat and social media.These examples show the potential for government to use AI successfully and responsibly. So how can public sector bodies ensure their algorithms manage this?To begin with, there are numerous sets of guidelines they can follow, such as the OECD Principles on AI. These principles state that AI should be designed in a way that respects human rights, democratic values and diversity and include appropriate safeguards and monitoring of risks. There is a requirement for transparency and responsible disclosure so people understand the systems and can challenge them.But guidelines aren’t necessarily enough. The UK government has published its own guidelines for trustworthy use of AI, and has invested significantly in numerous expert AI advisory bodies. Yet it has still managed to get many things wrong in its development of algorithms, as recent events have shown.One reason for this is that there is little acceptance even now that AI technology is not good enough to safely be used on high-impact and high-risk cases, such as awarding grades and visas. Sometimes AI should not be a solution.Laws and nudgesNew laws regulating the use of AI could help, but few countries have yet to pass specific legislation. There are some good examples in development, such as the proposed US AI Accountability Bill. However, legislation moves slowly, is subject to significant lobbying and outstripped by the speed of tech innovation. So quicker nudges to responsible behaviour are needed.The recent abandoning of certain government algorithms have shown that when the public is aware of poorly developed AI it can change government behaviour and create demand for more trustworthy use of technology. So one possible solution, called for by the researcher network Women Leading in AI, of which I am a founder, is an AI Infomark.Any apps, websites or documents relating to government services, systems or decisions that use AI would display the mark to alert people of that fact and point them to information about how the AI works and its potential impact and risk. This is a citizen-first strategy designed to empower people to understand and challenge an algorithm or AI system that has affected them. And this should hopefully push government to make sure it gets things right in the first place.If government can combine adequate regulation with this kind empowering, bottom-up approach to ensuring more responsible technology, we can start to reap the real benefits of greater use of algorithms and AI.Allison Gardner, Lecturer in Computer Science/Co-founder Women Leading in AI, Keele UniversityThis article is republished from The Conversation under a Creative Commons license. Read the original article.AIAlgorithmsMost PopularWhen the October 2020 half-term holiday falls, amid reports of potential two-week lockdownEducationGovernment to use emergency powers to allow use of unlicensed Covid-19 vaccine in UKPoliticsExclusiveWe won't live on Mars any time soon despite what people like Elon Musk might try and tell usScienceThe discovery of a gas in the atmosphere above Venus raises hopes for alien lifeScienceBarbados could cause ‘domino effect’ in removing the Queen as head - with Jamaica nextWorldThe i newsletter cut through the noiseEmail address is invalidEmail address is invalidEssentialsNewsSportLifestyleCultureOpinionibuysUseful linksContact UsAboutAdvertiseSubscribe to ii competitionsi newslettersi appSitemapFollow us onAll rights reserved. © 2020 JPIMedia Publications Ltd.Cookie SettingsDon't sell my infoTerms and ConditionsPrivacy Policy | We shouldn't write off government algorithms yet | We shouldnt write government algorithms AI improve livesNewsUKPoliticsBrexitWorldHealthEducationTechnologyScienceEnvironmentBusinessMediaLong ReadsConsumerNorthern IrelandScotlandReal LifeOpinionColumnistsCommentEditorYour ViewsLifestyleTravelFood DrinkWellbeingMoneyPeopleWorkWomenHomes GardensShoppingHow ToChristmasCarsCultureTVFilmMusicArtsBooksGamingRadioSportCricketFootballFormula 1Rugby UnionibuysTechHome GardenBaby ChildFashion BeautyFood DrinkSports FitnessTravel OutdoorBooks StationeryChristmasDistractionsJokesOffbeatQuizzesThe newsletter cut noiseEmail address invalidEmail address invalidNewsUKPoliticsBrexitWorldHealthEducationTechnologyScienceEnvironmentBusinessLong ReadsOpinionColumnistsCommentEditorYour ViewsLifestyleTravelFood DrinkWellbeingMoneyPeopleWomenHomes GardensCarsDistractionsCultureTVFilmMusicArtsBooksGamingRadioSportFootballCricketRugby UnionFormula 1OpinionWe shouldnt write government algorithms AI improve livesWe consider benefits risks demand responsible approach AI development deploymentBy AcademicsSeptember 18, 2020 2:52 pmOne example Intelligent Street Lighting project trialled Glasgow City Council. It uses algorithm process real time sensor data noise, air pollution footfall city control street lighting reaction peoples use cycle paths open spaces. Richard Baker Getty ImagesAlgorithms taken lot flak recently, particularly government public bodies UK. The controversial algorithm award student grades caused huge public outcry, national local governments police forces withdrawing algorithms artificial intelligence tools use year response legal challenges design failures.This rightly brought home public sector organisations critical approach AI algorithmic decisionmaking needed. But cases government bodies deploy technology lower risk, highimpact scenarios improve lives, particularly dont directly use personal data.So leap pelt AI cynicism consider benefits risks offers, demand responsible approach AI development deployment.is opinion newsletter: talking points todayEmail address invalidEmail address invalidOne example Intelligent Street Lighting project trialled Glasgow City Council. It uses algorithm process real time sensor data noise, air pollution footfall city control street lighting reaction peoples use cycle paths open spaces.The aim immediately improve safety allow better city planning environmental protection. Importantly, project properly trialled open public scrutiny, help address peoples concerns needs.Similarly, Liverpool City Council working company Red Ninja Life First Emergency Traffic Control project, aims cut ambulance journey times 40. A new algorithm works existing traffic signal prioritise emergency vehicles, aiming reduce congestion ahead emergency vehicles save critical minutes ambulance response times.Governments use AI lowrisk jobs directly aim predict human behaviour decisions directly affecting individuals. For example, National Grid uses AI drones inspect 7,200 miles overhead power lines England Wales.It able assess steelwork, wear corrosion faults conductors. This speeds inspection, saving time money allows human engineers focus repairs improvements, producing reliable energy supply.The Driver Vehicle Standards Agency DVSA AI improve MOT testing AI analyse vast testing data develop risk scores garages identify potentially underperforming centres. This reduced enforcement visits 50.The counterpart Driver Vehicle Licensing Agency DVLA natural language processing algorithm develop chatbot deal customer enquiries. This integrated single customer service platform staff monitor customer interactions phone, email, webchat social media.These examples potential government use AI successfully responsibly. So public sector bodies ensure algorithms manage this?To begin with, numerous sets guidelines follow, OECD Principles AI. These principles state AI designed way respects human rights, democratic values diversity include appropriate safeguards monitoring risks. There requirement transparency responsible disclosure people understand systems challenge them.But guidelines arent necessarily enough. The UK government published guidelines trustworthy use AI, invested significantly numerous expert AI advisory bodies. Yet managed things wrong development algorithms, recent events shown.One reason little acceptance AI technology good safely highimpact highrisk cases, awarding grades visas. Sometimes AI solution.Laws nudgesNew laws regulating use AI help, countries pass specific legislation. There good examples development, proposed US AI Accountability Bill. However, legislation moves slowly, subject significant lobbying outstripped speed tech innovation. So quicker nudges responsible behaviour needed.The recent abandoning certain government algorithms shown public aware poorly developed AI change government behaviour create demand trustworthy use technology. So possible solution, called researcher network Women Leading AI, I founder, AI Infomark.Any apps, websites documents relating government services, systems decisions use AI display mark alert people fact point information AI works potential impact risk. This citizenfirst strategy designed empower people understand challenge algorithm AI affected them. And hopefully push government sure gets things right place.If government combine adequate regulation kind empowering, bottomup approach ensuring responsible technology, start reap real benefits greater use algorithms AI.Allison Gardner, Lecturer Computer ScienceCofounder Women Leading AI, Keele UniversityThis article republished The Conversation Creative Commons license. Read original article.AIAlgorithmsMost PopularWhen October 2020 halfterm holiday falls, amid reports potential twoweek lockdownEducationGovernment use emergency powers allow use unlicensed Covid19 vaccine UKPoliticsExclusiveWe wont live Mars time soon despite people like Elon Musk try tell usScienceThe discovery gas atmosphere Venus raises hopes alien lifeScienceBarbados cause domino effect removing Queen head Jamaica nextWorldThe newsletter cut noiseEmail address invalidEmail address invalidEssentialsNewsSportLifestyleCultureOpinionibuysUseful links UsAboutAdvertise ii competitionsi newslettersi appSitemapFollow on. 2020 JPIMedia Publications Ltd. SettingsDont sell info | 2,020 | [
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https://bulletinline.com/2020/09/02/global-machine-learning-as-a-service-market-2025-to-expect-maximum-benefit-and-growth-potential-during-this-covid-19-outbreak-amazon-oracle-corporation-ibm-microsoft-corporation-google-inc-sale/ | 2020-09-02T00:00:00 | en | Global Machine Learning as a Service Market 2025 To Expect Maximum Benefit and Growth Potential During this COVID 19 Outbreak: Amazon, Oracle Corporation, IBM, Microsoft Corporation, Google Inc., Salesforce.Com, etc. – Bulletin Line |
Global Machine Learning as a Service Market 2025 To Expect Maximum Benefit and Growth Potential During this COVID 19 Outbreak: Amazon, Oracle Corporation, IBM, Microsoft Corporation, Google Inc., Salesforce.Com, etc. – Bulletin Line
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Home2020September2Global Machine Learning as a Service Market 2025 To Expect Maximum Benefit and Growth Potential During this COVID 19 Outbreak: Amazon, Oracle Corporation, IBM, Microsoft Corporation, Google Inc., Salesforce.Com, etc.
Global Machine Learning as a Service Market 2025 To Expect Maximum Benefit and Growth Potential During this COVID 19 Outbreak: Amazon, Oracle Corporation, IBM, Microsoft Corporation, Google Inc., Salesforce.Com, etc.
Posted On: September 2, 2020
Posted By: [email protected]
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Considering the sudden and unprecedented onset of a global pandemic triggered by COVID-19, this real-time market research presentation has dedicated a specific section in the report, elaborating on the massive implications of COVID-19 upon the Machine Learning as a Service Market.
Mindfully crafted research specifically highlights key elements such as market trends, specific to the pandemic as well as also brainstorms on potential opportunities triggered by COVID-19. Market participants can derive workable insights and necessary cues on the potential damage control practices that regional and global players can leverage to offset the impact of COVID-19.
The study encompasses profiles of major companies operating in the Machine Learning as a Service Market. Key players profiled in the report include:
Amazon
Oracle Corporation
IBM
Microsoft Corporation
Google Inc.
Salesforce.Com
Tencent
Alibaba
UCloud
Baidu
Rackspace
SAP AG
Century Link Inc.
CSC (Computer Science Corporation)
Heroku
Clustrix
Xeround
Available Sample Report in PDF Version along with Graphs and [email protected] https://www.orbismarketreports.com/sample-request/81211?utm_source=Puja
What to Expect from the Report• A complete, in-depth analytical study of the parent market• A systematic walk-through the pertinent alterations in market dynamics• A detailed presentation of the segments and their respective elements• A systematic presentation of the various market developments and elements across historic and current perspectives to make necessary forecasts specific to the Machine Learning as a Service market• A complete analysis and assessment of niche industry developments• A review of market share developments• Elaborate strategy design and deployment of market forerunners• A clear presentation of major segments such as type and application as well as regional domains• A separate section on company testimonials that elaborately discuss success stories of industry veterans
Analysis by Type: This section of the report includes factual details pertaining to the most lucrative segment harnessing revenue maximization.
Private clouds
Public clouds
Hybrid cloud
Analysis by Application: Further in the subsequent sections of the report, research analysts have rendered precise judgement regarding the various applications that the Machine Learning as a Service market mediates for superlative end-user benefits.
Personal
Business
Read complete report along with TOC @ https://www.orbismarketreports.com/global-machine-learning-as-a-service-market-growth-analysis-by-trends-and-forecast-2019-2025?utm_source=Puja
Global Machine Learning as a Service Market: Understanding Scope • Global Machine Learning as a Service market is one of the fastest growing industries and is rapidly influenced by constant development, technological advances and vendor activities such as portfolio diversification as well as geographical expansion investments. Further, it is also observed by research experts and analysts that M&A continue to be a significant growth booster, channeling omnipresent growth.
• Intensive research suggests global Machine Learning as a Service market is likely to witness a thumping growth through the forecast span, 2020-27, ticking a robust CAGR of xx%. The Machine Learning as a Service market is estimated to register a growth valuation of xx million US dollars in 2020 and is anticipated to gradually show optimistic spurt, reaching over xx million US dollars by 2027.
Decoding Regional Overview of the Machine Learning as a Service Market
Further in its subsequent sections of the report, this mindful presentation of the Machine Learning as a Service market lends vital details on regional scope and development sprees highlighting potential growth spots.– North America (U.S., Canada, Mexico)– Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)– Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)– Latin America (Brazil, Rest of L.A.)– Middle East and Africa (Turkey, GCC, Rest of Middle East)
Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. Market Share by Key Players Chapter 4. Breakdown Data by Type and Application Chapter 5. Market by End Users/Application Chapter 6. COVID-19 Outbreak: Machine Learning as a Service Industry Impact Chapter 7. Opportunity Analysis in Covid-19 Crisis Chapter 9. Market Driving ForceAnd Many More…
What To Expect From The Report • A complete analysis of the Machine Learning as a Service market.• Concrete and tangible alterations in market dynamics• A thorough study of dynamic segmentation of the Machine Learning as a Service market.• A complete review of historical, current as well as potential foreseeable growth projections concerning volume and value.• A holistic review of the vital market alterations and developments.• Notable growth friendly activities of leading players.
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| Global Machine Learning as a Service Market 2025 To Expect Maximum Benefit and Growth Potential During this COVID 19 Outbreak: Amazon, Oracle Corporation, IBM, Microsoft Corporation, Google Inc., Salesforce.Com, etc. | Global Machine Learning Service Market 2025 To Expect Maximum Benefit Growth Potential During COVID 19 Outbreak: Amazon, Oracle Corporation, IBM, Microsoft Corporation, Google ., Salesforce.Com, etc. Bulletin Line Bulletin Line Market Research Reports Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us Home2020September2Global Machine Learning Service Market 2025 To Expect Maximum Benefit Growth Potential During COVID 19 Outbreak: Amazon, Oracle Corporation, IBM, Microsoft Corporation, Google ., Salesforce.Com, etc. Global Machine Learning Service Market 2025 To Expect Maximum Benefit Growth Potential During COVID 19 Outbreak: Amazon, Oracle Corporation, IBM, Microsoft Corporation, Google ., Salesforce.Com, etc. Posted On: September 2, 2020 Posted By: [emailprotected] Comments: 0 Considering sudden unprecedented onset global pandemic triggered COVID19, realtime market research presentation dedicated specific section report, elaborating massive implications COVID19 Machine Learning Service Market. Mindfully crafted research specifically highlights key elements market trends, specific pandemic brainstorms potential opportunities triggered COVID19. Market participants derive workable insights necessary cues potential damage control practices regional global players leverage offset impact COVID19. The study encompasses profiles major companies operating Machine Learning Service Market. Key players profiled report include: Amazon Oracle Corporation IBM Microsoft Corporation Google . Salesforce.Com Tencent Alibaba UCloud Baidu Rackspace SAP AG Century Link . CSC Computer Science Corporation Heroku Clustrix Xeround Available Sample Report PDF Version Graphs [emailprotected] What Expect Report A complete, indepth analytical study parent market A systematic walkthrough pertinent alterations market dynamics A detailed presentation segments respective elements A systematic presentation market developments elements historic current perspectives necessary forecasts specific Machine Learning Service market A complete analysis assessment niche industry developments A review market share developments Elaborate strategy design deployment market forerunners A clear presentation major segments type application regional domains A separate section company testimonials elaborately discuss success stories industry veterans Analysis Type: This section report includes factual details pertaining lucrative segment harnessing revenue maximization. Private clouds Public clouds Hybrid cloud Analysis Application: Further subsequent sections report, research analysts rendered precise judgement applications Machine Learning Service market mediates superlative enduser benefits. Personal Business Read complete report TOC @ Global Machine Learning Service Market: Understanding Scope Global Machine Learning Service market fastest growing industries rapidly influenced constant development, technological advances vendor activities portfolio diversification geographical expansion investments. Further, observed research experts analysts MA continue significant growth booster, channeling omnipresent growth. Intensive research suggests global Machine Learning Service market likely witness thumping growth forecast span, 202027, ticking robust CAGR xx. The Machine Learning Service market estimated register growth valuation xx million US dollars 2020 anticipated gradually optimistic spurt, reaching xx million US dollars 2027. Decoding Regional Overview Machine Learning Service Market Further subsequent sections report, mindful presentation Machine Learning Service market lends vital details regional scope development sprees highlighting potential growth spots. North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. Market Share Key Players Chapter 4. Breakdown Data Type Application Chapter 5. Market End UsersApplication Chapter 6. COVID19 Outbreak: Machine Learning Service Industry Impact Chapter 7. Opportunity Analysis Covid19 Crisis Chapter 9. Market Driving ForceAnd Many More What To Expect From The Report A complete analysis Machine Learning Service market. Concrete tangible alterations market dynamics A thorough study dynamic segmentation Machine Learning Service market. A complete review historical, current potential foreseeable growth projections concerning volume value. A holistic review vital market alterations developments. Notable growth friendly activities leading players. Shoot queries at:@ : We team highly professional researchers dedicated unravel ongoing market developments. We recognized best industry stop store, offering intensively researched marketoriented information superlative standards impartiality authenticity order rightfully influence favorable business decisions range verticals. We highly dependent information scavenging abilities extremely reliant intuitive capabilities lead novel opportunity mapping result profitable business models high revenue structures. Us : Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Post navigation Prev PostNext Post News About usHome Us Know Our Staff Policies Editorial Policy Use Bulletin Line Everestthemes | 2,020 | [
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https://www.thehour.com/news/article/Scientists-combat-anti-Semitism-with-artificial-15584227.php | 2020-09-21T00:00:00 | en | Scientists combat anti-Semitism with artificial intelligence - The Hour |
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https://www.thehour.com/news/article/Scientists-combat-anti-Semitism-with-artificial-15584227.php
Scientists combat anti-Semitism with artificial intelligence
Kirsten Grieshaber, Associated Press
Published
2:00 pm EDT, Monday, September 21, 2020
BERLIN (AP) — An international team of scientists said Monday it had joined forces to combat the spread of anti-Semitism online with the help of artificial intelligence.
The project Decoding Anti-Semitism includes discourse analysts, computational linguists and historians who will develop a “highly complex, AI-driven approach to identifying online anti-Semitism,” the Alfred Landecker Foundation, which supports the project, said in a statement Monday.
“In order to prevent more and more users from becoming radicalized on the web, it is important to identify the real dimensions of anti-Semitism — also taking into account the implicit forms that might become more explicit over time," said Matthias Becker, a linguist and project leader from the Technical University of Berlin.
The team also includes researchers from King’s College in London and other scientific institutions in Europe and Israel.
Computers will help run through vast amounts of data and images that humans wouldn’t be able to assess because of their sheer quantity, the foundation said.
"Studies have also shown that the majority of anti-Semitic defamation is expressed in implicit ways – for example through the use of codes (“juice” instead of “Jews”) and allusions to certain conspiracy narratives or the reproduction of stereotypes, especially through images," the statement said.
As implicit anti-Semitism is harder to detect, the combination of qualitative and AI-driven approaches will allow for a more comprehensive search, the scientists think.
The problem of anti-Semitism online has increased, as seen by the rise in conspiracy myths accusing Jews of creating and spreading COVID-19, groups tracking anti-Semitism on the internet have found.
The focus of the current project is initially on Germany, France and the U.K., but will later be expanded to cover other countries and languages.
The Alfred Landecker Foundation, which was founded in 2019 in response to rising trends of populism, nationalism and hatred toward minorities, is supporting the project with 3 million euros ($3.5 million), the German news agency dpa reported.
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| Scientists combat anti-Semitism with artificial intelligence | Scientists combat antiSemitism artificial intelligence The Hour Home Us Manage Subscription Careers With Us Advertise With Us Archives FAQ Newsletters Terms Of Use Digital Edition Submissions Norwalk police chief orders internal probe spitting incident Bridgeport man accused burglary, PCP possession New York man charged rape 14yearold Norwalk girl Norwalk high schools recognized Special Olympics News Local Crime Wilton Education Nation World Politics Regional Opinion Were SEEN? Election Norwalk police chief orders internal probe spitting incident Bridgeport man accused burglary, PCP possession New York man charged rape 14yearold Norwalk girl Norwalk high schools recognized Special Olympics Sports High School High School Scoreboard MLB NBA NFL Hockey More Sports Little League Wilton AllState senior Gulbin devastated news canceled As practices most, schools awaiting return Norwalks Vigil, McMahons Lister earn recognition Norwalks Coulter, Aragon honored National Football Business Markets Top Workplaces New Caribbean cuisine restaurant opens Norwalk Burger joint closes 10 years Norwalk strip Bowling, bocce South Norwalk return Pinstripes Star turns Bridgeport, New Haven, Norwalk tourism campaign Real Estate Entertainment Movies Arts Music Television Comics Puzzles Games Events Mullett kicks Wall Street Theaters DriveIn Concert Rowayton Arts Center honors local artists Marine Coastal Norwalks LockwoodMathews Mansion Museum virtual Starlit Gala Norwalks LockwoodMathews museum flea market going virtual Living Health Family Travel Home Garden Seniors Religion Food Norwalkers CT Magazines 40 Under 40 Class 2019 Norwalkarea natives Connecticut Mag 40 Under 40 Undie Sunday United Church Rowayton House Calls: New blood pressure recommendations cause headaches Obituaries Open Business Classifieds Jobs Cars Todays Paper Insider MenuSections Scientists combat antiSemitism artificial intelligence Kirsten Grieshaber, Associated Press Published 2:00pm EDT, Monday, September 21, 2020 BERLIN AP An international team scientists said Monday joined forces combat spread antiSemitism online help artificial intelligence. The project Decoding AntiSemitism includes discourse analysts, computational linguists historians develop highly complex, AIdriven approach identifying online antiSemitism, Alfred Landecker Foundation, supports project, said statement Monday. In order prevent users radicalized web, important identify real dimensions antiSemitism taking account implicit forms explicit time, said Matthias Becker, linguist project leader Technical University Berlin. The team includes researchers Kings College London scientific institutions Europe Israel. Computers help run vast amounts data images humans wouldnt able assess sheer quantity, foundation said. Studies shown majority antiSemitic defamation expressed implicit ways example use codes juice instead Jews allusions certain conspiracy narratives reproduction stereotypes, especially images, statement said. As implicit antiSemitism harder detect, combination qualitative AIdriven approaches allow comprehensive search, scientists think. The problem antiSemitism online increased, seen rise conspiracy myths accusing Jews creating spreading COVID19, groups tracking antiSemitism internet found. The focus current project initially Germany, France U.K., later expanded cover countries languages. The Alfred Landecker Foundation, founded 2019 response rising trends populism, nationalism hatred minorities, supporting project 3 million euros 3.5 million, German news agency dpa reported. The Hour Insider Thumbnail Collection See Insider home Getting There: Weve complacent transportation BY Jim Cameron Former Norwalk teacher placed leave current school BY Pat Tomlinson Blumenthal promises fight Trump SCOTUS nominee BY Emilie Munson As school arrests drop CT, racial disparities remain BY Linda Conner Lambeck Judge: Norwalk standoff suspect remain jail BY John Nickerson Todays Top Insider Stories Our journalists provide indepth analysis reporting people, places issues matter you. rs access comprehensive coverage. Stories Insider LISTEN: Exit 43 Podcast Hear latest episode new podcast Most Popular 1 Veteran Sherpa guide set Everest record dies age 72 2 Police: Stamford mother killed East Side parking lot... 3 Norwalk schools actions 3 test positive COVID 4 Weston High close Monday student tests positive virus 5 Bed, Bath Beyond close 4 stores state 6 New York man charged rape 14yearold Norwalk girl 7 BYU students glasses help autistic kids eye contact View Comments 2020 Hearst Communications, . Logo Return Top About Newspaper Delivery Safety Procedures Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Careers Advertising Us FAQ Todays eEdition Submissions Connect Newsletter SignUp Facebook Twitter Instagram Pinterest Hearst Newspapers Hearst Media Services Connecticut, LLC | 2,020 | [
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https://www.thetelegraph.com/news/article/In-virus-hit-South-Korea-AI-monitors-lonely-15306048.php | 2020-05-31T00:00:00 | en | In virus-hit South Korea, AI monitors lonely elders - Alton Telegraph |
In virus-hit South Korea, AI monitors lonely elders - Alton Telegraph
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https://www.thetelegraph.com/news/article/In-virus-hit-South-Korea-AI-monitors-lonely-15306048.php
In virus-hit South Korea, AI monitors lonely elders
Kim Tong-hyung, Associated Press
Updated
10:47 pm CDT, Saturday, May 30, 2020
SK Telecom's AI speaker Nugu built with an artificial intelligence called "Aria" and a lamp that turns blue when processing voice commands for news, music and internet searches, is seen in Seoul, South Korea, on May 13, 2020. The devices can also use quizzes to monitor the memory and cognitive functions of their elderly users, which would be potentially useful for advising treatments. less
SK Telecom's AI speaker Nugu built with an artificial intelligence called "Aria" and a lamp that turns blue when processing voice commands for news, music and internet searches, is seen in Seoul, South Korea, ... more
Photo: Lee Jin-man, AP
Photo: Lee Jin-man, AP
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SK Telecom's AI speaker Nugu built with an artificial intelligence called "Aria" and a lamp that turns blue when processing voice commands for news, music and internet searches, is seen in Seoul, South Korea, on May 13, 2020. The devices can also use quizzes to monitor the memory and cognitive functions of their elderly users, which would be potentially useful for advising treatments. less
SK Telecom's AI speaker Nugu built with an artificial intelligence called "Aria" and a lamp that turns blue when processing voice commands for news, music and internet searches, is seen in Seoul, South Korea, ... more
Photo: Lee Jin-man, AP
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SEOUL, South Korea (AP) — In a cramped office in eastern Seoul, Hwang Seungwon points a remote control toward a huge NASA-like overhead screen stretching across one of the walls.
With each flick of the control, a colorful array of pie charts, graphs and maps reveals the search habits of thousands of South Korean senior citizens being monitored by voice-enabled “smart” speakers, an experimental remote care service the company says is increasingly needed during the coronavirus crisis.
“We closely monitor for signs of danger, whether they are more frequently using search words that indicate rising states of loneliness or insecurity,” said Hwang, director of a social enterprise established by SK Telecom to handle the service. Trigger words lead to a recommendation for a visit by local public health officials.
As South Korea's government pushes to allow businesses to access vast amounts of personal information and to ease restrictions holding back telemedicine, tech firms could potentially find much bigger markets for their artificial intelligence and other emerging technologies.
The drive, resisted for years by civil liberty advocates and medical professionals, has been reinvigorated by a technology-driven fight against COVID-19. It has so far allowed South Korea to emerge as something of a coronavirus success story but also raised broader worries that privacy is being sacrificed for epidemiological gains.
Armed with an infectious disease law that was strengthened after a 2015 outbreak of a different coronavirus, MERS, health authorities have aggressively used credit-card records, surveillance videos and cellphone data to find and isolate potential virus carriers.
Locations where patients went before they were diagnosed are published on websites and released through cellphone alerts. Smartphone tracking apps are used to monitor around 30,000 individuals quarantined at home.
Starting in June, entertainment venues will be required to register customers with smartphone QR codes so they could be easily located if needed.
But there’s a dark side.
People here have often managed to trace back the online information to the unnamed virus carriers, exposing embarrassing personal details and making them targets of public contempt.
A low point came earlier this month when local media described some Seoul nightclubs linked to dozens of infections as catering to sexual minorities, triggering homophobic responses.
Officials reacted by expanding “anonymous testing,” which allowed people to provide only their phone numbers and not their names during tests. There was a subsequent increase in tests.
The past months have exposed a stark division about the best ways to make important decisions when privacy concerns collide with public health needs, said Haksoo Ko, a Seoul National University law professor and co-director of the school’s Artificial Intelligence Policy Initiative.
Around 3,200 people across the country, mostly older than 70 and living alone, have so far allowed the SK Telecom speakers to listen to them 24 hours a day since the service launched in April 2019.
The company expects users to at least double by the end of the year, judging by local government interest. The technology has reduced human contact in welfare services while still providing governments with a tool to prevent elderly residents from dying alone. That’s especially needed in a country grappling with an aging population and high poverty rates among retirees.
The speakers are built with an artificial intelligence called “Aria” and a lamp that turns blue when processing voice commands for news, music and internet searches. The devices can also use quizzes to monitor the memory and cognitive functions of their elderly users, which would be potentially useful for advising treatments.
But it’s difficult for SK Telecom’s clients to use the information without clear legal guidelines for handling health data on private networks.
Similar reasons may also impede domestic use of health technologies developed by Samsung Electronics, which recently received approval for a smartwatch application that monitors blood pressure.
KT, SK Telecom’s telecommunications rival, is focused on business customers, providing artificial intelligence devices such as speakers and service robots to hotels, offices and new apartments.
President Moon Jae-in's administration has said data-driven industries will be critical in boosting a pandemic-hit economy.
Officials are preparing regulations for revised data laws that lawmakers passed in January after months of wrangling. They aim to allow businesses greater freedom in collecting and analyzing anonymous personal data without seeking individual consent.
If they work as intended, optimists say the laws would allow artificial intelligence to truly take off and pave the way for highly customized financial and health care services after they start in August.
But activist Oh Byoung-il said the changes could bring excessive privacy infringements unless robust safeguards are installed.
“Companies will always have an endless thirst for data, but you can’t give it to them all,” he said.
Doctors’ groups have also resisted government calls for legalizing telemedicine, raising concerns related to data security and a negative impact on smaller hospitals.
Industrial benefits will be limited if officials can’t find the right combination of techniques to process personal information so that it can't be used to identify individuals. Health and government authorities have failed to do this during the pandemic.
South Korea’s anti-virus experience provides “lots of lessons and implications” as it steps toward a data-driven economy, Ko said.
“With data, it’s bad to take ‘the more, the better’ approach,” he said. “An appropriate control system needs to be baked into the process, to make decisions on data access based on necessity and sensitivity and restrict access to information that isn’t really needed.”
In Seoul's Yangcheon district, officials are using SK Telecom’s tech to monitor some 200 seniors who live alone.
Social workers, who have smartphone apps that look like a mini version of the main dashboard, make calls or visits when users don't use their devices for more than 24 hours.
“It’s nice to have something to talk to,” said Lee Chang-geun, an 89-year-old who has lived alone in his small apartment since his wife died three years ago. “But I wish they developed an Aria function for opening doors. What good is a distress signal if I die while emergency workers try to force open my door?”
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| In virus-hit South Korea, AI monitors lonely elders | In virushit South Korea, AI monitors lonely elders Alton Telegraph r Services Home Us Advertise Privacy Notice Terms Use Heroes Unmasked News Archives Special Sections President Trump News Tip Election 2020 Online Forms RSS Feeds FBI says lawyer, Carlinville native, leaving bureau Godfrey daycare centers owners fight Ready are: Metro East communities rebuild retail Street eats start slow Sports Submit scores Submit sports news Pro32 BASEBALL IS BACK Alton opens pair losses Washington, NO SWISA: Longtime summer swim league cancels season State title hopes disappear Tigers boys track threats CURT HICKENS OUTDOORS: White bass summer angling Obituaries Submit obituary Features Games Contests Special Sections Comics Horoscopes Submit Anniversary Submit Birth Submit Birthday Submit Engagement Submit Wedding The Greenes celebrate 70th anniversary McLaughlins, Hinrichses announce engagement children Our Education: NSF Funds Collaboration aimed Advancing Our Education: LCCC College Kids program place Special Sections Opinion Letter Editor Commentary: Whos saint placing flags graves Civil War Union Success measured lives impact County, RBGA promote career technology ed Calendar Jobs Classifieds EEdition Us MenuSections In virushit South Korea, AI monitors lonely elders Kim Tonghyung, Associated Press Updated 10:47pm CDT, Saturday, May 30, 2020 SK Telecoms AI speaker Nugu built artificial intelligence called Aria lamp turns blue processing voice commands news, music internet searches, seen Seoul, South Korea, May 13, 2020. The devices use quizzes monitor memory cognitive functions elderly users, potentially useful advising treatments. SK Telecoms AI speaker Nugu built artificial intelligence called Aria lamp turns blue processing voice commands news, music internet searches, seen Seoul, South Korea, ... Photo: Lee Jinman, AP Photo: Lee Jinman, AP Image 1 5 Caption Close Image 1 5 SK Telecoms AI speaker Nugu built artificial intelligence called Aria lamp turns blue processing voice commands news, music internet searches, seen Seoul, South Korea, May 13, 2020. The devices use quizzes monitor memory cognitive functions elderly users, potentially useful advising treatments. SK Telecoms AI speaker Nugu built artificial intelligence called Aria lamp turns blue processing voice commands news, music internet searches, seen Seoul, South Korea, ... Photo: Lee Jinman, AP In virushit South Korea, AI monitors lonely elders 1 5 Back Gallery SEOUL, South Korea AP In cramped office eastern Seoul, Hwang Seungwon points remote control huge NASAlike overhead screen stretching walls. With flick control, colorful array pie charts, graphs maps reveals search habits thousands South Korean senior citizens monitored voiceenabled smart speakers, experimental remote care service company says increasingly needed coronavirus crisis. We closely monitor signs danger, frequently search words indicate rising states loneliness insecurity, said Hwang, director social enterprise established SK Telecom handle service. Trigger words lead recommendation visit local public health officials. As South Koreas government pushes allow businesses access vast amounts personal information ease restrictions holding telemedicine, tech firms potentially bigger markets artificial intelligence emerging technologies. The drive, resisted years civil liberty advocates medical professionals, reinvigorated technologydriven fight COVID19. It far allowed South Korea emerge coronavirus success story raised broader worries privacy sacrificed epidemiological gains. Armed infectious disease law strengthened 2015 outbreak different coronavirus, MERS, health authorities aggressively creditcard records, surveillance videos cellphone data isolate potential virus carriers. Locations patients went diagnosed published websites released cellphone alerts. Smartphone tracking apps monitor 30,000 individuals quarantined home. Starting June, entertainment venues required register customers smartphone QR codes easily located needed. But theres dark side. People managed trace online information unnamed virus carriers, exposing embarrassing personal details making targets public contempt. A low point came earlier month local media described Seoul nightclubs linked dozens infections catering sexual minorities, triggering homophobic responses. Officials reacted expanding anonymous testing, allowed people provide phone numbers names tests. There subsequent increase tests. The past months exposed stark division best ways important decisions privacy concerns collide public health needs, said Haksoo Ko, Seoul National University law professor codirector schools Artificial Intelligence Policy Initiative. Around 3,200 people country, older 70 living alone, far allowed SK Telecom speakers listen 24 hours day service launched April 2019. The company expects users double end year, judging local government interest. The technology reduced human contact welfare services providing governments tool prevent elderly residents dying alone. Thats especially needed country grappling aging population high poverty rates retirees. The speakers built artificial intelligence called Aria lamp turns blue processing voice commands news, music internet searches. The devices use quizzes monitor memory cognitive functions elderly users, potentially useful advising treatments. But difficult SK Telecoms clients use information clear legal guidelines handling health data private networks. Similar reasons impede domestic use health technologies developed Samsung Electronics, recently received approval smartwatch application monitors blood pressure. KT, SK Telecoms telecommunications rival, focused business customers, providing artificial intelligence devices speakers service robots hotels, offices new apartments. President Moon Jaeins administration said datadriven industries critical boosting pandemichit economy. Officials preparing regulations revised data laws lawmakers passed January months wrangling. They aim allow businesses greater freedom collecting analyzing anonymous personal data seeking individual consent. If work intended, optimists laws allow artificial intelligence truly pave way highly customized financial health care services start August. But activist Oh Byoungil said changes bring excessive privacy infringements robust safeguards installed. Companies endless thirst data, all, said. Doctors groups resisted government calls legalizing telemedicine, raising concerns related data security negative impact smaller hospitals. Industrial benefits limited officials right combination techniques process personal information identify individuals. Health government authorities failed pandemic. South Koreas antivirus experience provides lots lessons implications steps datadriven economy, Ko said. With data, bad more, better approach, said. An appropriate control needs baked process, decisions data access based necessity sensitivity restrict access information isnt needed. In Seouls Yangcheon district, officials SK Telecoms tech monitor 200 seniors live alone. Social workers, smartphone apps look like mini version main dashboard, calls visits users dont use devices 24 hours. Its nice talk to, said Lee Changgeun, 89yearold lived small apartment wife died years ago. But I wish developed Aria function opening doors. What good distress signal I die emergency workers try force open door? Recent News Grafton, Jerseyville ready outdoor dining BY Dylan Suttles Chamber sues Pritzker order BY Sanford J. Schmidt MCT reinstate fares, partial Express bus service BY The Telegraph Alton High seniors honored parade BY UPDATED Alton High School graduation parade View Comments 2020 Hearst Communications, . Logo Return Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Careers Advertising Todays EEdition Customer Service Newsroom Connect Facebook Twitter RSS Hearst Newspapers Hearst Communications, . | 2,020 | [
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https://www.pymnts.com/fraud-prevention/2020/report-how-ing-group-is-using-ai-to-fight-financial-crime/ | 2020-08-28T00:00:00 | en | How ING Group Uses AI To Fight Financial Crime | PYMNTS.com | How ING Group Uses AI To Fight Financial Crime | PYMNTS.com Today's NewsRetailB2BOpinionEditors’ PicksStudiesTrackers®PodcastsPYMNTS TVMasterClassTopicsArtificial IntelligenceB2BBankingBig Tech ComplianceCredit UnionsConnected CarsContactless PaymentsCoronavirusCross-Border PaymentsCybersecurityDigital IdenityDigital Payments in Emerging EconomiesEatGig EconomyHealthcare PaymentsInternet of ThingsMain Street SMBsOpen BankingReal-Time PaymentsRestaurant TechnologyRegulateTravel PaymentsSubscribe Sections Today's NewsRetailB2BOPINIONSTUDIESTRACKERS®PodcastsPYMNTS TVTopics Row OneArtificial IntelligenceB2BBankingBig Tech ComplianceCredit UnionsRow TwoConnected CarsContactless PaymentsCoronavirusCross-Border PaymentsCybersecurityRow ThreeDigital IdentityDigital Payments in Emerging EconomiesEatGig EconomyHealthcare PaymentsRow FourInternet of ThingsMain Street SMBsOpen BankingReal-Time PaymentsRestaurant TechnologyRow FiveRegulateTravel PaymentsRow Six Fraud PreventionReport: How ING Group Is Using AI To Fight Financial Crime By PYMNTS Posted on August 28, 2020 Share Tweet Share Share Share Print Email Banks, credit unions and other financial institutions (FIs) were forced to stop more than $25 billion in fraud attempts in 2018 alone, but such efforts can often feel ineffective as fraud continues to grow regardless of FIs’ prevention measures. Sixty-one percent of FIs report that the volume of fraud they fight is increasing over time, and 59 percent report that the total value of fraud attempts they face is rising, as well.FIs are turning to advanced technology such as artificial intelligence (AI) and machine learning (ML) to bring financial crime to heel, as these systems can analyze thousands of transactions and applications every second and pinpoint uncharacteristically large transactions, login attempts from multiple devices in different regions and other warning signs of fraud. Banks have reported increases in fraud detection rates of up to 50 percent through the use of AI and ML, but these tools are still only used by a minority of FIs around the world.The August Preventing Financial Crimes Playbook explores the latest financial crime developments, including growing rates of identity theft, how an increasing number of consumer credentials are available on the dark web and how FIs are leveraging AI and ML to counter the diverse assortment of schemes fraudsters are deploying.Developments Around The Financial Crimes SpaceBanks’ security measures can go a long way toward preventing financial crime, but consumers must also be proactive when safeguarding their data. They seem to have much to learn, however, as a recent study of 2,000 bank customers found that four out of five could not consistently distinguish between legitimate bank messages and those sent by fraudsters. Many fake messages included spelling mistakes, requests for personal information and other telltale signs of deception, as well, revealing that banks must take measures to educate their customers on the warning signs of fraud.Some fraudsters eschew stealing identities themselves and instead purchase stolen credentials from other bad actors online. A recent study from security firm Digital Shadows found that more than 15 billion such stolen credentials — 5 billion of which were unique — were available for purchase on dark web marketplaces. The number of bank account numbers, username-password combinations and other valuable information has increased by 300 percent since 2018, and they are ripe for use in financial crimes.These leaked credentials are primarily used for identity theft, which a recent study found increased by 15 percent between 2018 and 2019. Losses due to identity theft totaled $16.9 billion after reaching a five-year low in 2018, with this rise attributed to an increase in account takeovers (ATOs). Just 12 percent of financial fraud was the result of ATOs in 2015, but they accounted for 53 percent in 2019.For more on these and other financial crime news items, download this month’s Playbook.How AI And ML Are Fighting Rising Corporate Banking FraudFinancial crime is a pervasive threat to FIs, with human analysts and static rules running the risk of being overwhelmed or generating false positives. Automated systems like AI and ML could give banks the edge they need to seamlessly stop fraud, however. In this month’s Feature Story, PYMNTS spoke with Beate Zwijnenberg, chief information security officer for ING Group, about how automated systems detect anomalous transactions that could indicate financial crime.Deep Dive: How harnessing AI and ML boosts FIs’ fraud prevention effortsBanks deploy a wide variety of fraud prevention tools to protect themselves and their customers, but many of these tools have varying degrees of efficacy. Solutions based on human analysis can have false-positive rates of more than 90 percent, frustrating legitimate customers and even putting their loyalty into jeopardy. AI and ML can accelerate these fraud prevention initiatives and reduce customer friction, however. This month’s Deep Dive explores the advantages that AI and ML systems bring to fraud prevention and the obstacles that keep more banks from deploying such tools.About The Playbook The monthly Preventing Financial Crimes Playbook, a NICE Actimize collaboration, offers coverage of the most recent news and trends the financial crime prevention space.——————————
LIVE PYMNTS AND AMAZON PAY CONVERSATION: POWERING THE DIGITAL SHIFT – CONSUMER TRUST
From tiny Main Street shops to the tech giants of Silicon Valley, companies are working fervently to revive and reinvent the economy. With a digital shift clearly dominating post-pandemic commerce, tune in to this three-day series to hear directly from Amazon Pay about new digital priorities, nurturing trust in virtual relationships, and the delicate balance of technology and tenderness that keeps humanity first in ever more digital lives.
Related Items:ACCOUNT TAKEOVERS, artificial intelligence, credit unions, Digital Shadows, fraud, Fraud Prevention, Identity Theft, ING Group, machine learning, Main Feature, News, NICE Actimize, preventing financial crimes playbook, Security, Tracker Series Share Tweet Share Share Share Print EmailRecommended for you Camping’s Pandemic-Inspired Renaissance How SaaS Can Help Optimize eCommerce In A Digital-First World Fortnite, Minecraft Accounts Big Business On Black Market Get our hottest stories delivered to your inbox.Sign up for the PYMNTS.com Newsletter to get updates on top stories and viral hits.email:Post navigationHow SaaS Can Help Optimize eCommerce In A Digital-First WorldCamping’s Pandemic-Inspired RenaissanceTRENDING RIGHT NOW 4.3K Payments InnovationHow AI Helps Visa ‘Step In’ (Smartly) When Issuers Go Offline 3.6K Credit UnionsCredit Unions Help Microbusinesses Go Digital To Stay Afloat 2.9K Partnerships / AcquisitionsWorldRemit To Buy Sendwave Amid Remittance Surge 2.9K BitcoinBitcoin Daily: China Plans To Use Digital Yuan At 2022 Winter Olympics; Authorities Arrest Man Behind Alleged $1.73M Crypto Scheme In Australia 2.7K RetailNordstrom, JCPenney See Continued Revenue Struggles 2.3K InnovationMicrosoft Word To Take Voice Commands, Transcribe Recordings 2.3K PersonnelMaking The Business Case For Employer-Sponsored Financial-Wellness Tools 2.3K eCommerceSwappa CEO: Why Recommerce Marketplaces Are Going Back To School 2.2K Restaurant innovationSeated CEO: It’s Time For Fine Dining To Join The Digital-First Fray 2.2K BusinessThe Digital Transformation Of Buyer/Supplier Dynamics — Beyond The Payment 2.2K CoronavirusMain Street On Lockdown: The COVID-19 Cash Chasm 2.2K RetailWhy The Smart Payments Money Is On Gateway Diversification 2.1K Next-Gen AP AutomationTD Bank: Making AP Departments Digital And Resilient 2.1K Payments InnovationTruist CIO: Overcoming The Roadblocks To Faster Payments 1.8K Social CommerceFacebook Rolls Out In-App Marketplace In Facebook Shop PYMNTS REPORTSStudiesTrackers® NEWSToday's NewsEditor’s PicksRetailB2BOpinion MEDIAMasterclassPayology Podcasts PYMNTS TV SUBSCRIBEMainB2BRetail PARTNERSHIPSPartner With Us SubscribeAboutWork With UsTerms & ConditionsPrivacy PolicyContact© 2020 What’s Next Media and Analytics | How ING Group Uses AI To Fight Financial Crime | How ING Group Uses AI To Fight Financial Crime Todays NewsRetailB2BOpinionEditors PicksStudiesTrackersPodcastsPYMNTS TVMasterClassTopicsArtificial IntelligenceB2BBankingBig Tech ComplianceCredit UnionsConnected Carsless PaymentsCoronavirusCrossBorder PaymentsCybersecurityDigital IdenityDigital Payments Emerging EconomiesEatGig EconomyHealthcare PaymentsInternet ThingsMain Street SMBsOpen BankingRealTime PaymentsRestaurant TechnologyRegulateTravel Payments Sections Todays NewsRetailB2BOPINIONSTUDIESTRACKERSPodcastsPYMNTS TVTopics Row OneArtificial IntelligenceB2BBankingBig Tech ComplianceCredit UnionsRow TwoConnected Carsless PaymentsCoronavirusCrossBorder PaymentsCybersecurityRow ThreeDigital IdentityDigital Payments Emerging EconomiesEatGig EconomyHealthcare PaymentsRow FourInternet ThingsMain Street SMBsOpen BankingRealTime PaymentsRestaurant TechnologyRow FiveRegulateTravel PaymentsRow Six Fraud PreventionReport: How ING Group Is Using AI To Fight Financial Crime By PYMNTS Posted August 28, 2020 Share Tweet Share Share Share Print Email Banks, credit unions financial institutions FIs forced stop 25 billion fraud attempts 2018 alone, efforts feel ineffective fraud continues grow regardless FIs prevention measures. Sixtyone percent FIs report volume fraud fight increasing time, 59 percent report total value fraud attempts face rising, well.FIs turning advanced technology artificial intelligence AI machine learning ML bring financial crime heel, systems analyze thousands transactions applications second pinpoint uncharacteristically large transactions, login attempts multiple devices different regions warning signs fraud. Banks reported increases fraud detection rates 50 percent use AI ML, tools minority FIs world.The August Preventing Financial Crimes Playbook explores latest financial crime developments, including growing rates identity theft, increasing number consumer credentials available dark web FIs leveraging AI ML counter diverse assortment schemes fraudsters deploying.Developments Around The Financial Crimes SpaceBanks security measures long way preventing financial crime, consumers proactive safeguarding data. They learn, however, recent study 2,000 bank customers consistently distinguish legitimate bank messages sent fraudsters. Many fake messages included spelling mistakes, requests personal information telltale signs deception, well, revealing banks measures educate customers warning signs fraud.Some fraudsters eschew stealing identities instead purchase stolen credentials bad actors online. A recent study security firm Digital Shadows 15 billion stolen credentials 5 billion unique available purchase dark web marketplaces. The number bank account numbers, usernamepassword combinations valuable information increased 300 percent 2018, ripe use financial crimes.These leaked credentials primarily identity theft, recent study increased 15 percent 2018 2019. Losses identity theft totaled 16.9 billion reaching fiveyear low 2018, rise attributed increase account takeovers ATOs. Just 12 percent financial fraud result ATOs 2015, accounted 53 percent 2019.For financial crime news items, download months Playbook.How AI And ML Are Fighting Rising Corporate Banking FraudFinancial crime pervasive threat FIs, human analysts static rules running risk overwhelmed generating false positives. Automated systems like AI ML banks edge need seamlessly stop fraud, however. In months Feature Story, PYMNTS spoke Beate Zwijnenberg, chief information security officer ING Group, automated systems detect anomalous transactions indicate financial crime.Deep Dive: How harnessing AI ML boosts FIs fraud prevention effortsBanks deploy wide variety fraud prevention tools protect customers, tools varying degrees efficacy. Solutions based human analysis falsepositive rates 90 percent, frustrating legitimate customers putting loyalty jeopardy. AI ML accelerate fraud prevention initiatives reduce customer friction, however. This months Deep Dive explores advantages AI ML systems bring fraud prevention obstacles banks deploying tools.About The Playbook The monthly Preventing Financial Crimes Playbook, NICE Actimize collaboration, offers coverage recent news trends financial crime prevention space. LIVE PYMNTS AND AMAZON PAY CONVERSATION: POWERING THE DIGITAL SHIFT CONSUMER TRUST From tiny Main Street shops tech giants Silicon Valley, companies working fervently revive reinvent economy. With digital shift clearly dominating postpandemic commerce, tune threeday series hear directly Amazon Pay new digital priorities, nurturing trust virtual relationships, delicate balance technology tenderness keeps humanity digital lives. Related Items:ACCOUNT TAKEOVERS, artificial intelligence, credit unions, Digital Shadows, fraud, Fraud Prevention, Identity Theft, ING Group, machine learning, Main Feature, News, NICE Actimize, preventing financial crimes playbook, Security, Tracker Series Share Tweet Share Share Share Print EmailRecommended Campings PandemicInspired Renaissance How SaaS Can Help Optimize eCommerce In A DigitalFirst World Fortnite, Minecraft Accounts Big Business On Black Market Get hottest stories delivered inbox.Sign Newsletter updates stories viral hits.email:Post navigationHow SaaS Can Help Optimize eCommerce In A DigitalFirst WorldCampings PandemicInspired RenaissanceTRENDING RIGHT NOW 4.3K Payments InnovationHow AI Helps Visa Step In Smartly When Issuers Go Offline 3.6K Credit UnionsCredit Unions Help Microbusinesses Go Digital To Stay Afloat 2.9K Partnerships AcquisitionsWorldRemit To Buy Sendwave Amid Remittance Surge 2.9K BitcoinBitcoin Daily: China Plans To Use Digital Yuan At 2022 Winter Olympics; Authorities Arrest Man Behind Alleged 1.73M Crypto Scheme In Australia 2.7K RetailNordstrom, JCPenney See Continued Revenue Struggles 2.3K InnovationMicrosoft Word To Take Voice Commands, Transcribe Recordings 2.3K PersonnelMaking The Business Case For EmployerSponsored FinancialWellness Tools 2.3K eCommerceSwappa CEO: Why Recommerce Marketplaces Are Going Back To School 2.2K Restaurant innovationSeated CEO: Its Time For Fine Dining To Join The DigitalFirst Fray 2.2K BusinessThe Digital Transformation Of BuyerSupplier Dynamics Beyond The Payment 2.2K CoronavirusMain Street On Lockdown: The COVID19 Cash Chasm 2.2K RetailWhy The Smart Payments Money Is On Gateway Diversification 2.1K NextGen AP AutomationTD Bank: Making AP Departments Digital And Resilient 2.1K Payments InnovationTruist CIO: Overcoming The Roadblocks To Faster Payments 1.8K Social CommerceFacebook Rolls Out InApp Marketplace In Facebook Shop PYMNTS REPORTSStudiesTrackers NEWSTodays NewsEditors PicksRetailB2BOpinion MEDIAMasterclassPayology Podcasts PYMNTS TV SUBSCRIBEMainB2BRetail PARTNERSHIPSPartner With Us AboutWork With UsTerms Conditions 2020 Whats Next Media Analytics | 2,020 | [
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https://monroescoop.com/uncategorized/170311/artificial-intelligence-in-marketing-market-booming-by-size-revenue-and-top-growing-companies-intel-xilinx-samsung-electronics-micron-ibm-alphabet-microsoft-facebook/ | 2020-03-20T00:00:00 | en | Artificial Intelligence in Marketing Market Booming by Size, Revenue and Top Growing Companies – Intel, Xilinx, Samsung Electronics, Micron, IBM, Alphabet, Microsoft, Facebook, – Monroe Scoop |
Artificial Intelligence in Marketing Market Booming by Size, Revenue and Top Growing Companies – Intel, Xilinx, Samsung Electronics, Micron, IBM, Alphabet, Microsoft, Facebook, – Monroe Scoop
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You are hereHomeGlobal NewsArtificial Intelligence in Marketing Market Booming by Size, Revenue and Top Growing Companies – Intel, Xilinx, Samsung Electronics, Micron, IBM, Alphabet, Microsoft, Facebook,
Artificial Intelligence in Marketing Market Booming by Size, Revenue and Top Growing Companies – Intel, Xilinx, Samsung Electronics, Micron, IBM, Alphabet, Microsoft, Facebook,
March 20, 2020March 20, 2020 Navanath R Artificial Intelligence in Marketing Market, Artificial Intelligence in Marketing Market Analysis, Artificial Intelligence in Marketing Market Forecast, Artificial Intelligence in Marketing Market Growth, Artificial Intelligence in Marketing Market Size, Artificial Intelligence in Marketing Market Trends
Verified Market Research offers an overarching research and analysis-based study on the Artificial Intelligence in Marketing Market, covering growth prospects, market development potential, profitability, supply and demand, and other important subjects. The report presented here comes out as a highly reliable source of information and data on the Artificial Intelligence in Marketing market. The researchers and analysts who have prepared the report used an advanced research methodology and authentic primary and secondary sources of market information and data. Readers are provided with clear understanding on the current and future situations of the Artificial Intelligence in Marketing market based on revenue, volume, production, trends, technology, innovation, and other critical factors.
Global Artificial Intelligence in Marketing Market is projected to reach 38.40 billion by 2025 from an estimated value of 4.93 billion in 2017, growing at a CAGR of 29.3% from 2018 to 2025.
Get | Download Sample Copy @ https://www.verifiedmarketresearch.com/download-sample/?rid=3262&utm_source=MSN&utm_medium=003
Artificial Intelligence in Marketing Market Leading Players:
Intel
Xilinx
Samsung Electronics
Micron
IBM
Alphabet
Microsoft
Facebook
The report offers an in-depth assessment of key market dynamics, the competitive landscape, segments, and regions in order to help readers to become better familiar with the Artificial Intelligence in Marketing market. It particularly sheds light on market fluctuations, pricing structure, uncertainties, potential risks, and growth prospects to help players to plan effective strategies for gaining successful in the Artificial Intelligence in Marketing market. Importantly, it allows players to gain deep insights into the business development and market growth of leading companies operating in the Artificial Intelligence in Marketing market. Players will also be able to anticipate future market challenges, sales scenarios, product price changes and other related factors.
Ask for Discount @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=3262&utm_source=MSN&utm_medium=003
Table of Contents :
Executive Summary: It includes key trends of the Artificial Intelligence in Marketing market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the Artificial Intelligence in Marketing market based on production and revenue.
Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.
Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Artificial Intelligence in Marketing market.
Market Segments: This part of the report discusses about product type and application segments of the Artificial Intelligence in Marketing market based on market share, CAGR, market size, and various other factors.
Research Methodology: This section discusses about the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.
Why to Buy this Report?
Exhaustive analysis of business strategies of top players in the Artificial Intelligence in Marketing market, the value chain, raw materials, and industry variables
Easy to understand, to-the-point data, statistics, and information on the Artificial Intelligence in Marketing market, its segments, and sub-segments
Extensive research into distribution channels and distribution chains, including retailers, wholesalers, manufacturers, resellers, suppliers and consumers
Thorough evaluation of key regional Artificial Intelligence in Marketing markets based on CAGR, supply and demand, macroeconomic patterns, customer purchasing patterns, and several other factors
Accurate and comprehensive study of the Artificial Intelligence in Marketing market with the help of SWOT analysis, PESTLE analysis, and opportunity assessment
The report is a perfect example of a detailed and meticulously prepared research study on the Artificial Intelligence in Marketing market. It can be customized as per the requirements of the client. It not only caters to market players but also stakeholders and key decision makers looking for extensive research and analysis on the Artificial Intelligence in Marketing market.
Complete Report is Available @ https://www.verifiedmarketresearch.com/product/global-artificial-intelligence-in-marketing-market-size-and-forecast-to-2025/?utm_source=MSN&utm_medium=003
About us:
Verified market research partners with the customer and offer an insight into strategic and growth analyzes; Data necessary to achieve corporate goals and objectives. Our core values are trust, integrity and authenticity for our customers.
Analysts with a high level of expertise in data collection and governance use industrial techniques to collect and analyze data in all phases. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise and years of collective experience to produce informative and accurate research reports.
Contact us:
Mr. Edwyne FernandesCall: +1 (650) 781 4080Email: [email protected]
Tags: Artificial Intelligence in Marketing Market Size, Artificial Intelligence in Marketing Market Trends, Artificial Intelligence in Marketing Market Forecast, Artificial Intelligence in Marketing Market Growth, Artificial Intelligence in Marketing Market Analysis
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| Artificial Intelligence in Marketing Market Booming by Size, Revenue and Top Growing Companies | Artificial Intelligence Marketing Market Booming Size, Revenue Top Growing Companies Intel, Xilinx, Samsung Electronics, Micron, IBM, Alphabet, Microsoft, Facebook, Monroe Scoop Skip content Friday, March 20, 2020 Us Monroe Scoop Industry Analytics Market News Global News Industry Reports Market Report Analysis Forecast Business Opportunity Consumption Status Emerging Trends Future Demands Growth Prospects Market Study Opportunities Forecast You hereHomeGlobal NewsArtificial Intelligence Marketing Market Booming Size, Revenue Top Growing Companies Intel, Xilinx, Samsung Electronics, Micron, IBM, Alphabet, Microsoft, Facebook, Artificial Intelligence Marketing Market Booming Size, Revenue Top Growing Companies Intel, Xilinx, Samsung Electronics, Micron, IBM, Alphabet, Microsoft, Facebook, March 20, 2020March 20, 2020 Navanath R Artificial Intelligence Marketing Market, Artificial Intelligence Marketing Market Analysis, Artificial Intelligence Marketing Market Forecast, Artificial Intelligence Marketing Market Growth, Artificial Intelligence Marketing Market Size, Artificial Intelligence Marketing Market Trends Verified Market Research offers overarching research analysisbased study Artificial Intelligence Marketing Market, covering growth prospects, market development potential, profitability, supply demand, important subjects. The report presented comes highly reliable source information data Artificial Intelligence Marketing market. The researchers analysts prepared report advanced research methodology authentic primary secondary sources market information data. Readers provided clear understanding current future situations Artificial Intelligence Marketing market based revenue, volume, production, trends, technology, innovation, critical factors. Global Artificial Intelligence Marketing Market projected reach 38.40 billion 2025 estimated value 4.93 billion 2017, growing CAGR 29.3 2018 2025. Get Download Sample Copy @ Artificial Intelligence Marketing Market Leading Players: Intel Xilinx Samsung Electronics Micron IBM Alphabet Microsoft Facebook The report offers indepth assessment key market dynamics, competitive landscape, segments, regions order help readers better familiar Artificial Intelligence Marketing market. It particularly sheds light market fluctuations, pricing structure, uncertainties, potential risks, growth prospects help players plan effective strategies gaining successful Artificial Intelligence Marketing market. Importantly, allows players gain deep insights business development market growth leading companies operating Artificial Intelligence Marketing market. Players able anticipate future market challenges, sales scenarios, product price changes related factors. Ask Discount @ Table Contents : Executive Summary: It includes key trends Artificial Intelligence Marketing market related products, applications, crucial factors. It provides analysis competitive landscape CAGR market size Artificial Intelligence Marketing market based production revenue. Production Consumption Region: It covers regional markets research study relates. Prices key players addition production consumption regional market discussed. Key Players: Here, report throws light financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, gross margin leading prominent companies competing Artificial Intelligence Marketing market. Market Segments: This report discusses product type application segments Artificial Intelligence Marketing market based market share, CAGR, market size, factors. Research Methodology: This section discusses research methodology approach prepare report. It covers data triangulation, market breakdown, market size estimation, research design andor programs. Why Buy Report? Exhaustive analysis business strategies players Artificial Intelligence Marketing market, value chain, raw materials, industry variables Easy understand, tothepoint data, statistics, information Artificial Intelligence Marketing market, segments, subsegments Extensive research distribution channels distribution chains, including retailers, wholesalers, manufacturers, resellers, suppliers consumers Thorough evaluation key regional Artificial Intelligence Marketing markets based CAGR, supply demand, macroeconomic patterns, customer purchasing patterns, factors Accurate comprehensive study Artificial Intelligence Marketing market help SWOT analysis, PESTLE analysis, opportunity assessment The report perfect example detailed meticulously prepared research study Artificial Intelligence Marketing market. It customized requirements client. It caters market players stakeholders key decision makers looking extensive research analysis Artificial Intelligence Marketing market. Complete Report Available @ About us: Verified market research partners customer offer insight strategic growth analyzes; Data necessary achieve corporate goals objectives. Our core values trust, integrity authenticity customers. Analysts high level expertise data collection governance use industrial techniques collect analyze data phases. Our analysts trained combine modern data collection techniques, superior research methodology, expertise years collective experience produce informative accurate research reports. us: Mr. Edwyne FernandesCall: 1 650 781 4080Email: [emailprotected] Tags: Artificial Intelligence Marketing Market Size, Artificial Intelligence Marketing Market Trends, Artificial Intelligence Marketing Market Forecast, Artificial Intelligence Marketing Market Growth, Artificial Intelligence Marketing Market Analysis Our Trending Reports Artificial Intelligence Marketing Market Size, Growth Analysis, Opportunities, Business Outlook Forecast 2026 Post navigation Internet Things Technology Market Booming Size, Revenue Top Growing Companies Cisco Systems, General Electric GE, StartUp Ecosystem, PTC, Qualcomm, IBM, Symantec, Amazon Web Services AWS, Texas Instruments, IntelDigital Signage Market Booming Size, Revenue Top Growing Companies Samsung Electronics Co., LG Display Co., Sharp Corporation, Panasonic Corporation, Sony Corporation, NEC Display Solutions, Au Optronics Corporation, Planar Systems, Scala, Related posts Hypertonic Drinks Market : Indepth Analysis Understand Competitive Outlook Global Industry Future Estimations March 20, 2020 [emailprotected]China Hypertonic Drinks Market Trend, Europe Hypertonic Drinks Market Growth, Hypertonic Drinks, Hypertonic Drinks Industry, Hypertonic Drinks Market, Hypertonic Drinks Market Intelligence, UK H The global Hypertonic Drinks market reached US xx Mn 2019 anticipated grow at... 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https://marketreportobserver.com/online-data-science-training-programs-market-to-witness-high-demand-during-2020-2023-with-top-key-players-are-analytix-lab-coursera-edx-futurelearn/ | 2020-01-06T00:00:00 | en | Online Data Science Training Programs Market to witness high demand during 2020-2023 with top key players are Analytix Lab, Coursera, edX, FutureLearn – Market Reports Observer |
Online Data Science Training Programs Market to witness high demand during 2020-2023 with top key players are Analytix Lab, Coursera, edX, FutureLearn – Market Reports Observer
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Online Data Science Training Programs Market to witness high demand during 2020-2023 with top key players are Analytix Lab, Coursera, edX, FutureLearn
Online Data Science Training Programs Market to witness high demand during 2020-2023 with top key players are Analytix Lab, Coursera, edX, FutureLearn
by [email protected]
in Uncategorized
on January 6, 2020
0
Global Online Data Science Training Programs Market Industry Analysis 2020-2023 :
The Online Data Science Training Programs Market research report offers an outline of the market, which includes market overview, product specifications, definitions, classifications, applications, raw materials, cost structures, and so on. The report further mentions the product price, capacity, profit, growth rate, production, supply, demand, and forecast. In addition to this, the report analyzes the major drivers, industry challenges, opportunities, competitive outlook, and value chain analysis. Furthermore, the report also presents an in-depth analysis of the overall industry, the size, as well as forecasting for the emerging segment within the market. The report can be segmented into product type, application, vertical, and geography.
The study enlists the key manufacturers and vendors in the Online Data Science Training Programs market and the key strategies adopted by them to expand their presence in the market, as well as to survive the competition. One of the major factors expected to help the participants in designing their strategies in an effective manner is by analyzing the recent developments and limitations of the market. The report also proves essential in helping major players to formulate and develop new strategies.
Get Sample Report: https://garnerinsights.com/Global-Online-Data-Science-Training-Programs-Market-Report-2019#request-sample
Top Key Players of the Market: , Analytix Lab, Coursera, edX, FutureLearn, Jigsaw Academy, Simplilearn, Udacity, Udemy, ,
Types covered in this report are: , Professional degree courses, Certification courses, ,
Applications covered in this report are: , Finance and insurance sector, Professional services, IT, ,
Some Of The Major Geographies Included In This Study:
North America (U.S and Canada and Rest of North America)
Europe (Germany, France, Italy and Rest of Europe)
Asia-Pacific (China, Japan, India, South Korea and Rest of Asia-Pacific)
LAMEA (Brazil, Turkey, Saudi Arabia, South Africa and Rest of LAMEA)
The global Online Data Science Training Programs report provides an inclusive perspective of the market while explaining changing market dynamics, deployments, value chain and market driving forces, and restraining factors of the Online Data Science Training Programs Industry. The report presents SWOT and PEST analysis for Online Data Science Training Programs market segments.
To get this report at beneficial rates @https://garnerinsights.com/Global-Online-Data-Science-Training-Programs-Market-Report-2019#discount
The Online Data Science Training Programs Market research report provides the wide-ranging list of Online Data Science Training Programs that are in their development phase. The main aim of this study is to provide a complete secondary research and market analysis of Online Data Science Training Programs pipeline products that are in Phase 3, Phase 2, Phase 1, preclinical and discovery phases across different indications. An in-depth analysis on the key players that are working on Online Data Science Training Programs, including the agreements and acquisitions, has been mentioned in this report.
Online Data Science Training Programs Market report highlights:
In-depth insights on demand forecasts, market trends, and micro- and macroeconomic indicators and governing factors have been mentioned in this report. Furthermore, this report provides insights on the factors that are driving and limiting the demand of Online Data Science Training Programs market. Besides, the study highlights the current market trends and provides forecast based on the analysis. We also have underlined the future trends in the Online Data Science Training Programs market that will influence the demand rates over the coming years. The competitive analysis of Online Data Science Training Programs market throws light on the product usability profiles of the major competitors. Additionally, the study pinpoints the features & pricing, as well as the informant reviews of the key products in the market.
Browse Full [email protected] https://garnerinsights.com/Global-Online-Data-Science-Training-Programs-Market-Report-2019
In the end, the report covers segment data, including industry segment, type segment, channel segment etc., as well as the segments’ market size, both in terms of volume and value. In addition, the report mentions client data of different industries, which is proves significant to the manufacturers. The report has been collated with the in-depth secondary research, comprehending the market access aspects across various geographies.
Contact Us:
Mr.Kevin Thomas
Direct:
+1 513 549 5911 (US)
+44 203 318 2846 (UK)
Email:[email protected]“
This post was originally published on Market Reports Observer
Tags: garnerinsights, Online Data Science Training Programs market growth, Online Data Science Training Programs Market Report, Online Data Science Training Programs market UK, Online Data Science Training Programs market united state
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| Online Data Science Training Programs Market to witness high demand during 2020-2023 with top key players are Analytix Lab, Coursera, edX, FutureLearn | Online Data Science Training Programs Market witness high demand 20202023 key players Analytix Lab, Coursera, edX, FutureLearn Market Reports Observer Skip content 488 E 11th Ave, Eugene, OR 97401, USA 1 5416872347 [emailprotected] Market Reports Observer NASA Space Launches Rockets Satellites About Market Reports Observer NASA Space Launches Rockets Satellites About Online Data Science Training Programs Market witness high demand 20202023 key players Analytix Lab, Coursera, edX, FutureLearn Online Data Science Training Programs Market witness high demand 20202023 key players Analytix Lab, Coursera, edX, FutureLearn [emailprotected] Uncategorized January 6, 2020 0 Global Online Data Science Training Programs Market Industry Analysis 20202023 : The Online Data Science Training Programs Market research report offers outline market, includes market overview, product specifications, definitions, classifications, applications, raw materials, cost structures, on. The report mentions product price, capacity, profit, growth rate, production, supply, demand, forecast. In addition this, report analyzes major drivers, industry challenges, opportunities, competitive outlook, value chain analysis. Furthermore, report presents indepth analysis overall industry, size, forecasting emerging segment market. The report segmented product type, application, vertical, geography. The study enlists key manufacturers vendors Online Data Science Training Programs market key strategies adopted expand presence market, survive competition. One major factors expected help participants designing strategies effective manner analyzing recent developments limitations market. The report proves essential helping major players formulate develop new strategies. Get Sample Report: Top Key Players Market: , Analytix Lab, Coursera, edX, FutureLearn, Jigsaw Academy, Simplilearn, Udacity, Udemy, , Types covered report are: , Professional degree courses, Certification courses, , Applications covered report are: , Finance insurance sector, Professional services, IT, , Some Of The Major Geographies luded In This Study: North America U.S Canada Rest North America Europe Germany, France, Italy Rest Europe AsiaPacific China, Japan, India, South Korea Rest AsiaPacific LAMEA Brazil, Turkey, Saudi Arabia, South Africa Rest LAMEA The global Online Data Science Training Programs report provides inclusive perspective market explaining changing market dynamics, deployments, value chain market driving forces, restraining factors Online Data Science Training Programs Industry. The report presents SWOT PEST analysis Online Data Science Training Programs market segments. To report beneficial rates The Online Data Science Training Programs Market research report provides wideranging list Online Data Science Training Programs development phase. The main aim study provide complete secondary research market analysis Online Data Science Training Programs pipeline products Phase 3, Phase 2, Phase 1, preclinical discovery phases different indications. An indepth analysis key players working Online Data Science Training Programs, including agreements acquisitions, mentioned report. Online Data Science Training ProgramsMarket reporthighlights: Indepth insights demand forecasts, market trends, micro macroeconomic indicators governing factors mentioned report. Furthermore, report provides insights factors driving limiting demand Online Data Science Training Programs market. Besides, study highlights current market trends provides forecast based analysis. We underlined future trends Online Data Science Training Programs market influence demand rates coming years. The competitive analysis Online Data Science Training Programs market throws light product usability profiles major competitors. Additionally, study pinpoints features pricing, informant reviews key products market. Browse Full [emailprotected] In end, report covers segment data, including industry segment, type segment, channel segment etc., segments market size, terms volume value. In addition, report mentions client data different industries, proves significant manufacturers. The report collated indepth secondary research, comprehending market access aspects geographies. Us: Mr.Kevin Thomas Direct: 1 513 549 5911 US 44 203 318 2846 UK Email:[emailprotected] This post originally published Market Reports Observer Tags: garnerinsights, Online Data Science Training Programs market growth, Online Data Science Training Programs Market Report, Online Data Science Training Programs market UK, Online Data Science Training Programs market united state Post navigation Previous: Previous post: Global SMB SME NAS Market 2020 By Segment Forecasts 2025 Western Digital, Seagate, Netgear etc.Next: Next post: North America Enterprise Internet Reputation Management Market Analysis By Industry Size, Development And Demand 20202028 for: Latest News Explore Global Milling CorrectorsMarket forecast 2020 2025 January 6, 2020 Self Adhesive Labels Market Industry Analysis, Growth, Trends, Forecast 2024 January 6, 2020 Cakes Pastries Market Analysis, Recent Trends Regional Growth Forecast 2024 January 6, 2020 US Paper Cups Paper Plates Market Expected Experience strong Growth Forecast Period January 6, 2020 Recent research: Global Handheld Optical Power MeterMarket forecast 2020 2025 January 6, 2020 Global Heavy Bags Market Statistics 2020 Trend Growth Forecast To 2026 January 6, 2020 Global Meat Market Industry Insights, Top Trends, Growth And Forecast To 2026 January 6, 2020 Global Electric Saucepan Market Statistics 2020 Trend Growth Forecast To 2026 January 6, 2020 Global Phone Connector Market 2020 Industry Statistics Analysis 2026 January 6, 2020 Global Electric Shaver Market Analysis 20202026 Industry Growth Business Statistics By Regional Players January 6, 2020 2020Market Reports Observer.Built WordPress Highlight Theme | 2,020 | [
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https://eurowire.co/news/1409581/artificial-intelligence-in-security-market-industry-analysis-growth-trends-and-forecast-2025/ | 2020-12-31T00:00:00 | en | Artificial Intelligence in Security Market Industry Analysis, Growth, Trends and Forecast – 2025 – Eurowire |
Artificial Intelligence in Security Market Industry Analysis, Growth, Trends and Forecast – 2025 – Eurowire
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HomeNewsArtificial Intelligence in Security Market Industry Analysis, Growth, Trends and Forecast – 2025
Artificial Intelligence in Security Market Industry Analysis, Growth, Trends and Forecast – 2025
Posted On: December 31, 2020
Posted By: mukati
Comments: 0
Artificial Intelligence in Security Market was valued at USD 6.78 Billion in 2019 and is projected to reach USD 40.95 Billion by 2025, growing at a CAGR of 31% from 2020 to 2025.
Artificial intelligence is the development of computer systems that can perform tasks that require human intelligence, such as visual recognition, speech recognition, decision making, and translation between languages. Artificial intelligence is also installed to control access to hardware, software and data and to protect against cyber-attacks and corruption.
Get Sample Copy of Artificial Intelligence in Security Market at:https://www.orionmarketreports.com/artificial-intelligence-in-security-market/43497/#ert_pane1-1
some of the major players such as Threatmetrix, Skycure, Sparkcognition, Samsung Electronics, Micron, IBM, Cylance, Nvidia, Securonix, Intel, Xilinx, Amazon, Antivirus Companies, Acalvio , Sift Science and Darktrace .
Artificial Intelligence in Security Market by Security Type
• Cloud Security
• Network Security
• Endpoint Security
• Application Security
A full report of Global Artificial Intelligence in Security Market is available at:https://www.orionmarketreports.com/artificial-intelligence-in-security-market/43497/
Scope of the Report
The research study analyzes the global Artificial Intelligence in Security industry from 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions, considering multiple aspects some of which are listed below as:
Recent Developments
o Market Overview and growth analysis
o Import and Export Overview
o Volume Analysis
o Current Market Trends and Future Outlook
o Market Opportunistic and Attractive Investment Segment
Geographic Coverage
o North America Market Size and/or Volume
o Latin America Market Size and/or Volume
o Europe Market Size and/or Volume
o Asia-Pacific Market Size and/or Volume
o Rest of the world Market Size and/or Volume
Key Questions Answered by Artificial Intelligence in Security Market Report
1. What was the Artificial Intelligence in Security Market size in 2018 and 2019; what are the estimated growth trends and market forecast (2019-2025).
2. What will be the CAGR of Artificial Intelligence in Security Market during the forecast period (2019-2025)?
3. Which segments (product type/applications/end-user) were most attractive for investments in 2018? How these segments are expected to grow during the forecast period (2019-2025).
4. Which manufacturer/vendor/players in the Artificial Intelligence in Security Market was the market leader in 2018?
5. Overview on the existing product portfolio, products in the pipeline, and strategic initiatives taken by key vendors in the market.
For more customized data, request for report customization @https://www.orionmarketreports.com/artificial-intelligence-in-security-market/43497/#ert_pane1-2
About Us:
Orion Market Reports (OMR) endeavors to provide exclusive blend of qualitative and quantitative market research reports to clients across the globe. Our organization helps both multinational and domestic enterprises to bolster their business by providing in-depth market insights and most reliable future market trends. Our reports address all the major aspects of the markets providing insights and market outlook to global clients.
Media Contact:
Company Name: Orion Market Reports
Contact Person: Mr. Anurag Tiwari
Email: [email protected]
Contact no: +91 780-304-0404
Artificial Intelligence in Security Market
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| Artificial Intelligence in Security Market Industry Analysis, Growth, Trends and Forecast | Artificial Intelligence Security Market Industry Analysis, Growth, Trends Forecast 2025 Eurowire Eurowire HomeNewsArtificial Intelligence Security Market Industry Analysis, Growth, Trends Forecast 2025 Artificial Intelligence Security Market Industry Analysis, Growth, Trends Forecast 2025 Posted On: December 31, 2020 Posted By: mukati Comments: 0 Artificial Intelligence Security Market valued USD 6.78 Billion 2019 projected reach USD 40.95 Billion 2025, growing CAGR 31 2020 2025. Artificial intelligence development systems perform tasks require human intelligence, visual recognition, speech recognition, decision making, translation languages. Artificial intelligence installed control access hardware, software data protect cyberattacks corruption. Get Sample Copy Artificial Intelligence Security Market at: major players Threatmetrix, Skycure, Sparkcognition, Samsung Electronics, Micron, IBM, Cylance, Nvidia, Securonix, Intel, Xilinx, Amazon, Antivirus Companies, Acalvio , Sift Science Darktrace . Artificial Intelligence Security Market Security Type Cloud Security Network Security Endpoint Security Application Security A report Global Artificial Intelligence Security Market available at: Scope Report The research study analyzes global Artificial Intelligence Security industry 360degree analysis market thoroughly delivering insights market better business decisions, considering multiple aspects listed as: Recent Developments Market Overview growth analysis Import Export Overview Volume Analysis Current Market Trends Future Outlook Market Opportunistic Attractive Investment Segment Geographic Coverage North America Market Size andor Volume Latin America Market Size andor Volume Europe Market Size andor Volume AsiaPacific Market Size andor Volume Rest world Market Size andor Volume Key Questions Answered Artificial Intelligence Security Market Report 1. What Artificial Intelligence Security Market size 2018 2019; estimated growth trends market forecast 20192025. 2. What CAGR Artificial Intelligence Security Market forecast period 20192025? 3. Which segments product typeapplicationsenduser attractive investments 2018? How segments expected grow forecast period 20192025. 4. Which manufacturervendorplayers Artificial Intelligence Security Market market leader 2018? 5. Overview existing product portfolio, products pipeline, strategic initiatives taken key vendors market. For customized data, request report customization : Orion Market Reports OMR endeavors provide exclusive blend qualitative quantitative market research reports clients globe. Our organization helps multinational domestic enterprises bolster business providing indepth market insights reliable future market trends. Our reports address major aspects markets providing insights market outlook global clients. Media : Company Name: Orion Market Reports Person: Mr. Anurag Tiwari Email: [emailprotected] no: 91 7803040404 Artificial Intelligence Security Market Post navigation Prev PostNext Post Recent Posts Automotive Pump Market 2019 Size, Growth Analysis Report, Forecast 2025 Customer Experience Management Market 2019 Analysis May Set New Growth Story, Forecast 2025 Biometric Service Market Size Growth Analysis Report, 20192025 GTIM Market Trends 2019 Segmentation, Outlook, Industry Report 2025 Interactive Display Market Size Growth Analysis Report, 20192025 Eurowire Everestthemes | 2,020 | [
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https://www.t3.com/us/news/stephen-hawking-warns-ai-could-be-a-real-danger | 2020-06-08T00:00:00 | en | Stephen Hawking warns AI "could be a real danger" | T3 |
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Stephen Hawking warns AI "could be a real danger"
Physicist cautions on artificial intelligence
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Ben Furfie
2014-06-18T08:45:00.168Z
Steven Hawking has warned that the race toward developing artificial intelligence could backfire on us.Speaking on HBO's Last Week Tonight, Hawking warned that “artificial intelligence could be a real danger in the not too distant future”.He said that the danger wasn't in the company that developed it, but rather the system itself further down the line.Referring to Google's self-portray as the good-guys of tech, he said that it was irrelevant and that any AI could simply “design improvements to itself and outsmart us all.”As you'd expect from comedian host John Oliver, he threw in a joke question. “Why should I not be excited about fighting a robot”, he asked Hawking.Hawking replied: “You would lose.”Article continues after videoPerhaps Oliver's biggest joke was questioning whether or not it was Hawking or his computer (pretending to be Hawking) talking to him. “You're an idiot”, was the response from Hawking.That – we'll point out – wasn't a denial.It also wasn't Hawking's only put down. Asked whether parallel universes existed, Hawking replied “Yes. And also a universe where you're funny.”
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| Stephen Hawking warns AI "could be a real danger" | Stephen Hawking warns AI real danger T3 T3 Smarter Living Tech Smart Home Living Fitness Style Outdoors Travel Best Of Reviews More Wellness Watches Auto Deals Magazine Sign newsletter Newsletter Please deactivate ad blocker order subscription offer Trending Best electric scooter Best electric bike Where buy face mask PS5 Disney Plus T3 supported audience. When purchase links site, earn affiliate commission. Learn Home News Stephen Hawking warns AI real danger Physicist cautions artificial intelligence Sign newsletter Newsletter By Ben Furfie 20140618T08:45:00.168Z Steven Hawking warned race developing artificial intelligence backfire us.Speaking HBOs Last Week Tonight, Hawking warned artificial intelligence real danger distant future.He said danger wasnt company developed it, line.Referring Googles selfportray goodguys tech, said irrelevant AI simply design improvements outsmart all.As youd expect comedian host John Oliver, threw joke question. Why I excited fighting robot, asked Hawking.Hawking replied: You lose.Article continues videoPerhaps Olivers biggest joke questioning Hawking pretending Hawking talking him. Youre idiot, response Hawking.That point wasnt denial.It wasnt Hawkings down. Asked parallel universes existed, Hawking replied Yes. And universe youre funny. Latest T3 Awards 2020: Hoka One One Carbon X takes gold running shoes category Simply fastest, efficient best value money running shoes money buy By Matt Kollat 20200608T08:01:59Z T3 Awards 2020: Bowflex SelectTech 1090i Adjustable Dumbbells ultimate weights Do lift, bro? If do, use Bowflex SelectTech 1090i Adjustable Dumbbells home gym By Matt Kollat 20200608T07:30:03Z You like TPLink Deco X60 review: super speedy WiFi 6 mesh networking The TPLink Deco X60 fast WiFi corner home By David Nield 20200528T07:25:31Z Best antivirus 2020: protect PC AV software Your search best antivirus software, free paid for, ends By Carrie Marshall 20200513T09:33:07Z Massive ExpressVPN deal: Get 3 months FREE awesome lockdown sale Get ExpressVPN whopping 15 months, 5 month, stellar deal By Matt Evans 20200422T10:16:25Z Should leave VPN time? How long VPN running sure youre secure online? Its better safe sorry... By Luke Edwards 20200409T16:18:18Z VPN jargon buster: technical terminology virtual private networks explained Dont know DNS kill switch? What encryption IP addresses? You soon VPN jargon busting guide By Luke Edwards 20200407T16:34:35Z 10 reasons people downloading VPNs moment VPNs essential staying safe online, awful lot that. Here 10 good reasons VPN usage booming right By Mo HarberLamond 20200402T15:29:47Z Can VPN hacked tracked? Is VPN super safe secure youd expect be? Or hackers data? By Luke Edwards 20200331T11:22:35Z Does VPN slow internet connection speeds? Can security VPN enjoying highspeed internet connection? By Luke Edwards 20200331T08:38:05Z View More Useful links Features How lose weight home Amazon Prime Day 2020 5G UK explained Best VPN services Top Guides The best vacuum cleaners The best TVs The best smartphones The best mattresses Best Deals Best Memorial Day sales Best SIM deals Best mattress deals Best Apple deals Terms conditions Privacy policy policy T3 Future plc, international media group leading digital publisher. Visit corporate site. Future Publishing Limited Quay House, The Ambury, Bath BA1 1UA. . England Wales company registration number 2008885. | 2,020 | [
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https://germanyenglishnews.com/german-news/2020/04/24/healthcare-artificial-intelligence-market-global-research-report-segment-by-top-players-type-application-industry-marketing-channel-and-region-2015-2027/ | 2020-04-24T00:00:00 | en | Healthcare Artificial Intelligence Market Global Research Report, Segment by Top Players, Type, Application, Industry Marketing Channel, and Region 2015-2027 – German Market Reports |
Healthcare Artificial Intelligence Market Global Research Report, Segment by Top Players, Type, Application, Industry Marketing Channel, and Region 2015-2027 – German Market Reports
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You are hereHomeGerman News2020April24Healthcare Artificial Intelligence Market Global Research Report, Segment by Top Players, Type, Application, Industry Marketing Channel, and Region 2015-2027
Healthcare Artificial Intelligence Market Global Research Report, Segment by Top Players, Type, Application, Industry Marketing Channel, and Region 2015-2027
April 24, 2020April 24, 2020 anita
Global Healthcare Artificial Intelligence market 2020 research report is a solitary device that gives an inside and out analysis of various Healthcare Artificial Intelligence market bits of knowledge, openings, security approaches and political methods for making solid conclusions. The Healthcare Artificial Intelligence market CAGR rate may increment by huge percent over the forecast frame 2020-2026. The Healthcare Artificial Intelligence report likewise centers around disparate market introductions and advancements, an assortment of raw materials utilized as a part of Healthcare Artificial Intelligence industry, amplitudes and reliable change in the structure market. From that point onward, it features the exact situation of the Healthcare Artificial Intelligence market combined with display market risk and security obligations.
The extent of the global Healthcare Artificial Intelligence statistical surveying report:
The Healthcare Artificial Intelligence report a thoroughgoing analysis of global Healthcare Artificial Intelligence industry capturing diverse market proficiencies, deductions, and methods. It directs an important study to break down chronicled information of the Healthcare Artificial Intelligence market in order to anticipate future market developments. Organization’s basic data including gross margin, import/send out points of interest, the cost of the Healthcare Artificial Intelligence product type, and subtle elements are likewise canvassed in the Healthcare Artificial Intelligence report.
Request for a free sample report here https://www.orbisresearch.com/contacts/request-sample/4536035
Worldwide Healthcare Artificial Intelligence market segmentation is given beneath:
Overall Healthcare Artificial Intelligence industry report is essentially isolated based on key makers, geological zones, applications and types over a period from 2020 to 2026. The Healthcare Artificial Intelligence report withstands various merchants on national and global level. Based on top participants players
Modernizing Medicine
Enlitic, Inc.
APIXIO, Inc.
Pathway Genomics Corporation
Butterfly Network, Inc.
Cyrcadia Health Inc.
AiCure
Lifegraph
iCarbonX
Zebra Medical Vision Ltd.
Sophia Genetics
IBM (Watson Health)
Atomwise, Inc.
Sense.ly
Insilico Medicine, Inc.
Welltok
It’s hard to challenge the Healthcare Artificial Intelligence rivals as far as the contraption, trademark, and precision. Breaking down the past Healthcare Artificial Intelligence information and foreseeing future inclinations may help customers, Healthcare Artificial Intelligence specialists, sales representatives, venture chiefs and officials to increase productive assets and correct Healthcare Artificial Intelligence figures in the shape tables, outlines, and diagrams. Overall Healthcare Artificial Intelligence statistical surveying report will enable the makers and contributing associations to effortlessly grip the data, stars, and cons of the Healthcare Artificial Intelligence market. It additionally directs proficient SWOT examination of the significant Healthcare Artificial Intelligence key players and merchants utilizing essential and optional information sources.
The following fragment talks about the Healthcare Artificial Intelligence market types and applications. A thorough analysis of Healthcare Artificial Intelligence type include
Machine Learning
Natural Language Processing
Image Processing
Speech Recognition
Since the most recent decade, Healthcare Artificial Intelligence has infiltrated a lot of utilization application including-
Medical Imaging & Diagnosis
Drug Discovery
Therapy Planning
Hospital Workflow
Wearables
Virtual Assistants
The main conspicuous bound areas secured by World Healthcare Artificial Intelligence industry includes North America, Asia-Pacific Healthcare Artificial Intelligence market, Latin America, Healthcare Artificial Intelligence market of Europe, Healthcare Artificial Intelligence market of the Middle East and Africa. Diverse Healthcare Artificial Intelligence formative strategies, proposition and how they can be executed in global Healthcare Artificial Intelligence industry report.
Ask our Expert if You Have a Query at: https://www.orbisresearch.com/contacts/enquiry-before-buying/4536035
TOC review of global Healthcare Artificial Intelligence market:
1: Healthcare Artificial Intelligence advertise outline comprises of division, region, market elements ponder, confinements, opportunities and so on.
2: Healthcare Artificial Intelligence industry chain examination clarifies upstream material providers, significant players, and cost investigation. Additionally shows the Healthcare Artificial Intelligence creation process examination, channels, and major downstream purchasers.
3: This part illuminates the creation, Healthcare Artificial Intelligence development rate, esteem and value information by type.
4: Next part outlines the Healthcare Artificial Intelligence piece of the overall industry downstream attributes, Healthcare Artificial Intelligence utilization and market by application.
5: This part Healthcare Artificial Intelligence market size, share, and gross edge by regions (2013-2020).
6: Further dissect the utilization together with Healthcare Artificial Intelligence send out/import by regions (2013-2020).
7: In the following part status and SWOT and PESTEL examination by regions of Healthcare Artificial Intelligence industry are depicted.
8: Healthcare Artificial Intelligence focused scene, organization profiles, and status by players is uncovered precisely.
9: Extensive information of Healthcare Artificial Intelligence industry by type, application and regions (2020-2026).
10: Lastly analysis of Healthcare Artificial Intelligence industry attributes and new aspirants SWOT examination. Additionally features the key components and Healthcare Artificial Intelligence venture practicality information.
11: Healthcare Artificial Intelligence conclusions and informative supplement.
Overall, the report delivers a precise figure for various segments of Healthcare Artificial Intelligence market to accomplish the forthcoming market situation and to set the required variables for enhancement. Further, the Healthcare Artificial Intelligence report highlights on market resources, various parameters as well share Healthcare Artificial Intelligence information on market expansion and upcoming trends, innovative cost structure, and market dynamics of global Healthcare Artificial Intelligence market.
Direct Prchase Report @ https://www.orbisresearch.com/contact/purchase-single-user/4536035
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| Healthcare Artificial Intelligence Market Global Research Report, Segment by Top Players, Type, Application, Industry Marketing Channel, and Region 2015-2027 | Healthcare Artificial Intelligence Market Global Research Report, Segment Top Players, Type, Application, Industry Marketing Channel, Region 20152027 German Market Reports Skip content Friday, April 24, 2020 Home Us Our Journalists German Market Reports Space, Satellite Market Reports German News News Space Satellites Crypto Technology Electric Market Report Us You hereHomeGerman News2020April24Healthcare Artificial Intelligence Market Global Research Report, Segment Top Players, Type, Application, Industry Marketing Channel, Region 20152027 Healthcare Artificial Intelligence Market Global Research Report, Segment Top Players, Type, Application, Industry Marketing Channel, Region 20152027 April 24, 2020April 24, 2020 anita Global Healthcare Artificial Intelligence market 2020 research report solitary device gives inside analysis Healthcare Artificial Intelligence market bits knowledge, openings, security approaches political methods making solid conclusions. The Healthcare Artificial Intelligence market CAGR rate increment huge percent forecast frame 20202026. The Healthcare Artificial Intelligence report likewise centers disparate market introductions advancements, assortment raw materials utilized Healthcare Artificial Intelligence industry, amplitudes reliable change structure market. From point onward, features exact situation Healthcare Artificial Intelligence market combined display market risk security obligations. The extent global Healthcare Artificial Intelligence statistical surveying report: The Healthcare Artificial Intelligence report thoroughgoing analysis global Healthcare Artificial Intelligence industry capturing diverse market proficiencies, deductions, methods. It directs important study break chronicled information Healthcare Artificial Intelligence market order anticipate future market developments. Organizations basic data including gross margin, importsend points interest, cost Healthcare Artificial Intelligence product type, subtle elements likewise canvassed Healthcare Artificial Intelligence report. Request free sample report Worldwide Healthcare Artificial Intelligence market segmentation given beneath: Overall Healthcare Artificial Intelligence industry report essentially isolated based key makers, geological zones, applications types period 2020 2026. The Healthcare Artificial Intelligence report withstands merchants national global level. Based participants players Modernizing Medicine Enlitic, . APIXIO, . Pathway Genomics Corporation Butterfly Network, . Cyrcadia Health . AiCure Lifegraph iCarbonX Zebra Medical Vision Ltd. Sophia Genetics IBM Watson Health Atomwise, . Sense.ly Insilico Medicine, . Welltok Its hard challenge Healthcare Artificial Intelligence rivals far contraption, trademark, precision. Breaking past Healthcare Artificial Intelligence information foreseeing future inclinations help customers, Healthcare Artificial Intelligence specialists, sales representatives, venture chiefs officials increase productive assets correct Healthcare Artificial Intelligence figures shape tables, outlines, diagrams. Overall Healthcare Artificial Intelligence statistical surveying report enable makers contributing associations effortlessly grip data, stars, cons Healthcare Artificial Intelligence market. It additionally directs proficient SWOT examination significant Healthcare Artificial Intelligence key players merchants utilizing essential optional information sources. The following fragment talks Healthcare Artificial Intelligence market types applications. A thorough analysis Healthcare Artificial Intelligence type include Machine Learning Natural Language Processing Image Processing Speech Recognition Since recent decade, Healthcare Artificial Intelligence infiltrated lot utilization application including Medical Imaging Diagnosis Drug Discovery Therapy Planning Hospital Workflow Wearables Virtual Assistants The main conspicuous bound areas secured World Healthcare Artificial Intelligence industry includes North America, AsiaPacific Healthcare Artificial Intelligence market, Latin America, Healthcare Artificial Intelligence market Europe, Healthcare Artificial Intelligence market Middle East Africa. Diverse Healthcare Artificial Intelligence formative strategies, proposition executed global Healthcare Artificial Intelligence industry report. Ask Expert You Have Query at: TOC review global Healthcare Artificial Intelligence market: 1: Healthcare Artificial Intelligence advertise outline comprises division, region, market elements ponder, confinements, opportunities on. 2: Healthcare Artificial Intelligence industry chain examination clarifies upstream material providers, significant players, cost investigation. Additionally shows Healthcare Artificial Intelligence creation process examination, channels, major downstream purchasers. 3: This illuminates creation, Healthcare Artificial Intelligence development rate, esteem value information type. 4: Next outlines Healthcare Artificial Intelligence piece overall industry downstream attributes, Healthcare Artificial Intelligence utilization market application. 5: This Healthcare Artificial Intelligence market size, share, gross edge regions 20132020. 6: Further dissect utilization Healthcare Artificial Intelligence send outimport regions 20132020. 7: In following status SWOT PESTEL examination regions Healthcare Artificial Intelligence industry depicted. 8: Healthcare Artificial Intelligence focused scene, organization profiles, status players uncovered precisely. 9: Extensive information Healthcare Artificial Intelligence industry type, application regions 20202026. 10: Lastly analysis Healthcare Artificial Intelligence industry attributes new aspirants SWOT examination. Additionally features key components Healthcare Artificial Intelligence venture practicality information. 11: Healthcare Artificial Intelligence conclusions informative supplement. Overall, report delivers precise figure segments Healthcare Artificial Intelligence market accomplish forthcoming market situation set required variables enhancement. Further, Healthcare Artificial Intelligence report highlights market resources, parameters share Healthcare Artificial Intelligence information market expansion upcoming trends, innovative cost structure, market dynamics global Healthcare Artificial Intelligence market. 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https://www.jpost.com/cybertech/zebra-medical-vision-receives-fda-clearance-for-cancer-screening-ai-636623 | 2020-07-28T00:00:00 | en | Zebra Medical Vision receives FDA clearance for cancer screening AI - The Jerusalem Post |
Zebra Medical Vision receives FDA clearance for cancer screening AI - The Jerusalem Post
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Zebra Medical Vision receives FDA clearance for cancer screening AI
The Israeli company's software for more quickly identifying suspicious mammogram findings can result in more accurate diagnoses, thus helping to save lives
By CYBERTECH
JULY 28, 2020 16:37
Zebra Medical Vision
(photo credit: Courtesy)
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Israel's Zebra Medical Vision announced Monday that the US Food & Drug Administration has approved its AI-based software that helps radiologists identify and prioritize mammograms with abnormal findings. The FDA clearance is the sixth received by the medical imaging analytics company, and the first in the field of oncology. The FDA previously approved Zebra Medical's solutions using X-rays and CT scans to detect such serious issues as spinal fractures and brain bleeds. The solution, dubbed HealthMammo, leverages automated AI to detect suspicious lesions. The software categorizes an image as "suspicious" or "not suspicious" and then sends it to the medtech company's imaging analytics platform for analysis and processing. Radiologists later receive the results via a dedicated application. The solution is intended for use with 2D mammograms. The ability to more quickly identify patients with abnormal findings can result in more accurate diagnoses, thus helping to save lives. The early detection can also reduce the backlog due to cancellations or postponements as a result of the COVID-19 crisis. “With this fully commercial and regulated product, we aim to provide even more value and help patients and providers navigate the new COVID-effected reality we are all facing,” said CEO Ohad Arazi.According to the company, Zebra Medical is the first startup to secure FDA clearances for AI technologies in CT, X-ray, and mammography. The company founded in 2014 is said to have deployed its solutions on five continents and raised nearly $60 million from investors.Read more from Cybertech News: https://www.israeldefense.co.il/en/categories/cybertech
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| Zebra Medical Vision receives FDA clearance for cancer screening AI | Zebra Medical Vision receives FDA clearance cancer screening AI The Jerusalem Post Coronavirus Israel News Opinion Middle East Diaspora U.S. Politics WORLD NEWS Log Out Kabbalah Judaism Gaza News BDS Antisemitism OMG Health Science Business Tech Cybertech Premium Food Advertisement Jerusalem Post Cybertech News Zebra Medical Vision receives FDA clearance cancer screening AI The Israeli companys software quickly identifying suspicious mammogram findings result accurate diagnoses, helping save lives By CYBERTECH JULY 28, 2020 16:37 Zebra Medical Vision photo credit: Courtesy Advertisement Israels Zebra Medical Vision announced Monday US Food Drug Administration approved AIbased software helps radiologists identify prioritize mammograms abnormal findings.The FDA clearance sixth received medical imaging analytics company, field oncology. The FDA previously approved Zebra Medicals solutions Xrays CT scans detect issues spinal fractures brain bleeds. The solution, dubbed HealthMammo, leverages automated AI detect suspicious lesions. The software categorizes image suspicious suspicious sends medtech companys imaging analytics platform analysis processing. Radiologists later receive results dedicated application. The solution intended use 2D mammograms.The ability quickly identify patients abnormal findings result accurate diagnoses, helping save lives. The early detection reduce backlog cancellations postponements result COVID19 crisis.With fully commercial regulated product, aim provide value help patients providers navigate new COVIDeffected reality facing, said CEO Ohad Arazi.According company, Zebra Medical startup secure FDA clearances AI technologies CT, Xray, mammography. The company founded 2014 said deployed solutions continents raised nearly 60 million investors.Read Cybertech News: Tags cybersphere Cyber Cybertech Advertisement daily newsletter By subscribing I accept terms use Hot Opinion Wanted: Leadership By JPOST EDITORIAL Civil rights disappear By EMILY SCHRADER New TV The New Moroccans tackles old issues Israeli society By SUSAN HATTIS ROLEF Is Netanyahu heading elections? By JEFF BARAK Israel needs prepare Biden era opinion By ORI WERTMAN Advertisement Most Read 1 Stephen Miller rejects claim grandmother died COVID 2 Star David taken Twitter, citing hateful imagery 3 People blood type O protected COVID19 studies 4 Netherlands admits paying terrorists killed 17yearold Israeli 5 Iran condemns US warplane flyby panics Iranian airliner passengers Advertisement Information Feedback Staff Emails Advertise Us Terms Of Service r Agreement JPost Jobs Cancel Subscription The Jerusalem Post Group Breaking News Middle East World News Diplomatic Conference IvritTalk Free trial lesson The Jerusalem Report Jerusalem Post Lite March living Shapers Israel Maariv Online Tools services JPost Premium Ulpan Online JPost Newsletter JPost News Ticker Our Magazines Learn Hebrew RSS feed Archive Digital Library Special Content Promo Content Promo Content Himalayan Salt Lamps Undercounter Ice Makers Commercial Carpet Cleaners Commercial Paper Shredders Cash Counting Machines Commercial Zero Turn Mowers Senior Discounts Sites Of Interest The Jerusalem Post Conferences Conference production services Jewish Broadcasting Service Jerusalem Hotels Personas Media KKLJNF Poalim Online The Jerusalem Post Customer Service Center contacted questions requests: Telephone: 2421 Extension 4 Jerusalem Post 037619056 Fax: 035613699Email: subs The center staffed provides answers Sundays Thursdays 07:00 14:00 Fridays handles distribution requests 7:00 13:00 For international customers: The center staffed provides answers Sundays Thursdays 7AM 6PM Toll Free number Israel 1800574574 Telephone 97237619056 Fax: 97235613699 Email: subs 2020 Jpost . Terms Use Designed | 2,020 | [
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https://www.philips.ro/healthcare/nobounds/four-applications-of-ai-in-healthcare | 2020-11-30T00:00:00 | en | Four Applications of AI in Healthcare | Philips Healthcare | Four Applications of AI in Healthcare | Philips Healthcare
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Executive Insights series
Podcast #98 How AI can bring productivity to medical imaging
with Philips executive Homer Pien Listen to the podcast now The potential of AI to improve healthcare delivery is limitless with a wide range of applications and potential in the radiology department, from improved diagnosis, enhanced workflows which will, inevitably, lead to a change in the radiologist’s role. Join host Dennis de Costa as he discusses the future of AI in healthcare with Homer Pien, Chief Technology Officer for Imaging at Philips.
Four applications of AI in healthcare Healthcare is more complex today. Stretched by increasing costs1, a global deficit of health workers2 and operational inefficiencies, the need to address demand for high-quality and efficient care is urgent. For healthcare IT leaders, the goal of operational efficiency looms large alongside the pressure to do more with the huge volumes of data they collect enterprise wide.
A health data insight deficit While AI has been around for decades, most healthcare organizations are still at the very beginning of their AI journeys. AI is now gaining traction in healthcare because of its ability to help generate insights from large amounts of data – offering a much-needed helping hand to overburdened staff. The amount and granularity of the stored digital medical and healthcare data a CIO oversees has increased exponentially, but just a fraction of it is being used to improve the efficiency and quality of care. This huge growth in volume and diversity is a concern for health IT leaders because the speed of data accumulation is far outpacing the ability to analyze it. “What healthcare providers have is incredible data, but very few insights,” says Roy Smythe MD, Chief Medical Officer for Health Informatics, Philips Healthcare. “And what clinicians really want is insights – to tell them what they really need to know. For example, among the 2000 diabetics in their patient population, who are the 10 that they need to bring in for a different intervention? Those are insights that they need.”
AI applications in healthcare The potential of AI to improve the healthcare delivery system is limitless. It offers a unique opportunity to make sense out of clinical data to enable fully integrated healthcare that is more predictive and precise. Getting all aspects of AI-enabled solutions right requires extensive collaboration between clinicians, data scientists, interaction designers, and other experts. Here are four applications of artificial intelligence to transform healthcare delivery:
1. Improve operational efficiency and performance On a departmental and enterprise level, the ability of AI to sift through large amounts of data can help hospital administrators to optimize performance, drive productivity, and improve the use of existing resources, generating time and cost savings. For example, in a radiology department, AI could make a difference in the management of referrals, patient scheduling, and exam preparations. Improvements here can help to enhance patient experience and will allow a more effective and efficient use of the facilities at examination sites.
2. Aiding clinical decision support AI-enabled solutions can help to combine large amounts of clinical data to generate a more holistic view of patients. This supports healthcare providers in their decision making, leading to better patient outcomes and improved population health. “The need for insights and for those insights to lead to clinical operations support is tremendous,” says Dr. Smythe. “Whether that is the accuracy of interventions or the effective use of manpower – these are things that physicians struggle with. That is the imperative.”
3. Enabling population health management Combining clinical decision support systems with patient self-management, population health management can also benefit from AI. Using predictive analytics with patient populations, healthcare providers will be able to take preventative action, reduce health risk, and save unnecessary costs. As the population ages, so does a desire to age in place when possible, and to maximize not only disease management, but quality of life as we do so. The possibility of aggregating, analyzing and activating health data from millions of consumers will enable hospitals to see how socio-economic, behavioral, genetic and clinical factors correlate and can offer more targeted, preventative healthcare outside the four walls of the hospital.
4. Empowering consumers, improving patient care As recently as 2015 patients reported physically carrying x-rays, test results, and other critical health data from one healthcare provider’s office to another3. The burden of multiple referrals, explaining symptoms to new physicians and finding out that their medical history has gaps in it were all too real. Patients now are demanding more personalized, sophisticated and convenient healthcare services. The great motivation behind AI in healthcare is that increasingly, as patients become more engaged with their own healthcare and better understand their own needs, healthcare will have to take steps towards them and meet them where they are, providing them with health services when they need them, not just when they are ill.
Share this page with a colleague 1 US Centers for Medicare & Medicaid Services 2 WHO, ‘Global health workforce shortage to reach 12.9 million in coming decades’ 3 HBR, ‘Giving Patients an Active Role in Their Health Care’ Download your copy of “Using AI to meet operational, clinical goals” now You might also be interested in: • Whitepaper: interoperability in healthcare at an enterprise wide level • Executive insights: Five tips for preventing healthcare data breaches Watch video Watch: Benefits of clinical informatics and artificial intelligence
Meeting the top challenges in health informatics Visit the Philips health informatics hub
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Let's talk What are your biggest challenges in informatics? Whether its interoperability across your enterprise or achieving greater standardization of care, we partner with you to deeply understand your infrastructure and operations, and deliver solutions that help your transform your health system. Reach out using the form below to get started. Cum vă putem ajuta? * Selectaţi* Приобретение медицинского оборудования, консалтинг Сервисная поддержка медицинского оборудования Потребительские товары Световые решения Работа в Philips Je suis intéressé(e) par les solutions/produits de santé - pour les professionnels de santé. Je recherche une assistance technique pour les solutions/produits de santé. Je suis intéressé(e) par les produits pour les consommateurs grand public. Je suis intéressé(e) par les produits luminaires (lighting -Signify). J’aimerai travailler chez Philips. Interesse commerciale per un prodotto o soluzione medicale Richiesta materiale informativo per un prodotto o soluzione medicale Assistenza tecnica per un prodotto o soluzione medicale Informazioni su un prodotto per i consumatori Opportunità lavorative in Philips Ik heb interesse in een healthcare-oplossing voor professionals Ik zoek (technische) ondersteuning voor mijn healthcare-oplossing Ik heb interesse in een consumentenproduct Ik heb interesse in verlichting (Signify) Ik wil werken bij Philips Ik heb een vraag over sponsoring Ik heb interesse in een healthcare-oplossing voor professionals Ik zoek (technische) ondersteuning voor mijn healthcare-oplossing Ik heb interesse in een consumentenproduct Ik heb interesse in verlichting (Signify) Ik wil werken bij Philips Ich interessiere mich für Lösungen für medizinisches Fachpersonal Ich suche (technischen) Support für meine Healthcare-Lösungen Ich suche Support für Konsumentenprodukte von Philips Ich interessiere mich für Beleuchtung (Signify) Ich möchte bei Philips arbeiten Ich interessiere mich für Lösungen für medizinisches Fachpersonal Ich suche (technischen) Support für meine Healthcare-Lösungen Ich suche Support für Konsumentenprodukte von Philips Ich interessiere mich für Beleuchtung (Signify) Ich möchte bei Philips arbeiten Estou procurando soluções para profissionais de saúde Estou procurando suporte (técnico) para minha solução de assistência médica Estou procurando produtos Philips para consumidores Estou procurando produtos de iluminação Philips Quero trabalhar na Philips Tenho uma pergunta sobre patrocínio Me interesa encontrar soluciones para profesionales de la salud Busco asistencia (técnica) para mi solución de cuidados de salud Busco productos de consumo Philips Busco soluciones de Iluminación Philips (Signify) Deseo trabajar en Philips Tengo una pregunta sobre patrocinios Me interesa encontrar soluciones para profesionales de la salud Busco asistencia (técnica) para mi solución de cuidados de salud Busco productos de consumo Philips Busco soluciones de Iluminación Philips (Signify) Deseo trabajar en Philips Tengo una pregunta sobre patrocinios Me interesa encontrar soluciones para profesionales de la salud Busco asistencia (técnica) para mi solución de cuidados de salud Busco productos de consumo Philips Busco soluciones de Iluminación Philips (Signify) Deseo trabajar en Philips Tengo una pregunta sobre patrocinios Me interesa encontrar soluciones para profesionales de la salud Busco asistencia (técnica) para mi solución de cuidados de salud Busco productos de consumo Philips Busco soluciones de Iluminación Philips (Signify) Deseo trabajar en Philips Tengo una pregunta sobre patrocinios Me interesa encontrar soluciones para profesionales de la salud Busco asistencia (técnica) para mi solución de cuidados de salud Busco productos de consumo Philips Busco soluciones de Iluminación Philips (Signify) Deseo trabajar en Philips Tengo una pregunta sobre patrocinios Me interesa encontrar soluciones para profesionales de la salud Busco asistencia (técnica) para mi solución de cuidados de salud Busco productos de consumo Philips Busco soluciones de Iluminación Philips (Signify) Deseo trabajar en Philips Tengo una pregunta sobre patrocinios I'm interested in healthcare solutions for professionals I'm looking for (technical) support for my healthcare solution I'm interested in consumer products of Philips I'm interested in Philips Lighting solutions (Signify) I want to work for Philips I'm interested in healthcare solutions for professionals I'm looking for (technical) support for my healthcare solution I'm interested in consumer products of Philips I'm interested in Philips Lighting solutions (Signify) I want to work for Philips I’m interested in healthcare solutions I’m looking for technical support I’m interested in consumer products I’m interested in Philips Lighting I want to work for Philips I’m interested in healthcare solutions I’m looking for technical support I’m interested in consumer products I’m interested in Philips Lighting I want to work for Philips Contact information * This field is mandatory 1 Contact details 2 Business details 3 Contact information Țară * România Afganistan Africa de Sud Albania Algeria Andorra Angola Anguilla Antarctica Antigua și Barbuda Arabia Saudită Argentina Armenia Aruba Australia Austria Azerbaidjan Bahamas Bahrain Bangladesh Barbados Belarus Belgia Belize Benin Bermuda Bhutan Bolivia Bosnia și Herțegovina Botswana Brazilia Brunei Bulgaria Burkina Faso Burundi Cambodgia Camerun Canada Capul Verde Chile China Ciad Cipru Columbia Comore Congo - 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I understand | Four Applications of AI in Healthcare | Four Applications AI Healthcare Philips Healthcare Home Products Services napoi Products Services Products Products Services Products Advanced Molecular Imaging Computed Tomography Machines Solutions Diagnostic ECG Diagnostic informatics Emergency Care Resuscitation Enterprise telehealth Hospital Respiratory Care Image Guided Therapy Devices Image Guided Therapy Systems Mother Child Care MRI Systems Solutions Oncology Pathology Patient Monitoring Radiation Oncology Radiography Xray Fluoroscopy Solutions Refurbished Systems Sleep Respiratory Care Ultrasound Value Products Ventilation Arata tot Services Products Services Services Planning services Implementation services Optimization services Maintenance services Upgrading services Enabling technologies Healthcare consulting Solutions Products Services Solutions Alarm management Ambient Experience Dosewise Early Warning Scoring EWS Integrated Cardiovascular Solutions Managed Technology Services Patient reported outcomes PerformanceBridge HealthSuite Digital Platform Enterprise telehealth Specialties napoi Specialties Clinical specialties Specialties Clinical specialties Cardiology Critical care General care Home respiratory care Mother child care Oncology Radiology Sleep apnea care Business government Specialties Business government Emergency Response Workplace community AED Nonclinical specialties Specialties Nonclinical specialties Healthcare management IT Management Covid19 Response Innovation napoi Innovation Our innovation story Research Exploration HealthSuite Digital Platform Thought Leadership Philips Ventures About napoi About About Careers Customer experience center Events calendar Investor relations News Partnerships Press Support napoi Support Customer Support Education training Support Education training Browse catalog Education clinical application Education professional role Documents resources Support Documents resources Instructions use Product documentation Distributors Selfservice support portals Support Selfservice support portals My Philips Professionals Customer Services Portal Security standards Support Security standards IT standards Product security Compliance programs Online sales Support Online sales Hospital supplies equipment Sleep respiratory products Publications Support Publications Field Strength Surgery Pulse Covid19 Response foundationgeneric.search Cutare termeni No bounds Health knows bounds Applications AI Healthcare improve efficiency Lets talk Health professionals: talk biggest challenges Health professionals: talk breaking boundaries Fill form 97865935008 a.m. 6 p.m. EST Lets talk Executive Insights series Podcast 98 How AI bring productivity medical imaging Philips executive Homer Pien Listen podcast The potential AI improve healthcare delivery limitless wide range applications potential radiology department, improved diagnosis, enhanced workflows will, inevitably, lead change radiologists role. Join host Dennis Costa discusses future AI healthcare Homer Pien, Chief Technology Officer Imaging Philips. Four applications AI healthcare Healthcare complex today. Stretched increasing costs1, global deficit health workers2 operational inefficiencies, need address demand highquality efficient care urgent. For healthcare IT leaders, goal operational efficiency looms large alongside pressure huge volumes data collect enterprise wide. A health data insight deficit While AI decades, healthcare organizations beginning AI journeys. AI gaining traction healthcare ability help generate insights large amounts data offering muchneeded helping hand overburdened staff. The granularity stored digital medical healthcare data CIO oversees increased exponentially, fraction improve efficiency quality care. This huge growth volume diversity concern health IT leaders speed data accumulation far outpacing ability analyze it. What healthcare providers incredible data, insights, says Roy Smythe MD, Chief Medical Officer Health Informatics, Philips Healthcare. And clinicians want insights tell need know. For example, 2000 diabetics patient population, 10 need bring different intervention? Those insights need. AI applications healthcare The potential AI improve healthcare delivery limitless. It offers unique opportunity sense clinical data enable fully integrated healthcare predictive precise. Getting aspects AIenabled solutions right requires extensive collaboration clinicians, data scientists, interaction designers, experts. Here applications artificial intelligence transform healthcare delivery: 1. Improve operational efficiency performance On departmental enterprise level, ability AI sift large amounts data help hospital administrators optimize performance, drive productivity, improve use existing resources, generating time cost savings. For example, radiology department, AI difference management referrals, patient scheduling, exam preparations. Improvements help enhance patient experience allow effective efficient use facilities examination sites. 2. Aiding clinical decision support AIenabled solutions help combine large amounts clinical data generate holistic view patients. This supports healthcare providers decision making, leading better patient outcomes improved population health. The need insights insights lead clinical operations support tremendous, says Dr. Smythe. Whether accuracy interventions effective use manpower things physicians struggle with. That imperative. 3. Enabling population health management Combining clinical decision support systems patient selfmanagement, population health management benefit AI. Using predictive analytics patient populations, healthcare providers able preventative action, reduce health risk, save unnecessary costs. As population ages, desire age place possible, maximize disease management, quality life so. The possibility aggregating, analyzing activating health data millions consumers enable hospitals socioeconomic, behavioral, genetic clinical factors correlate offer targeted, preventative healthcare outside walls hospital. 4. Empowering consumers, improving patient care As recently 2015 patients reported physically carrying xrays, test results, critical health data healthcare providers office another3. The burden multiple referrals, explaining symptoms new physicians finding medical history gaps real. Patients demanding personalized, sophisticated convenient healthcare services. The great motivation AI healthcare increasingly, patients engaged healthcare better understand needs, healthcare steps meet are, providing health services need them, ill. Share colleague 1 US Centers Medicare Medicaid Services 2 WHO, Global health workforce shortage reach 12.9 million coming decades 3 HBR, Giving Patients Active Role Their Health Care Download copy Using AI meet operational, clinical goals You interested in: Whitepaper: interoperability healthcare enterprise wide level Executive insights: Five tips preventing healthcare data breaches Watch video Watch: Benefits clinical informatics artificial intelligence Meeting challenges health informatics Visit Philips health informatics hub Building partnerships. Breaking barriers. We work partnership health systems help drive innovation, support financial operational goals, enable transformation valuedriven era. The result operational excellence connected, predictive personalized care delivery. See support enterprise Phoenix Childrens Hospital partnership Childrens Hospital Medical Center partnership Banner Health partnership AU Health partnership Marin General Hospital partnership WMC Health partnership Bon Secours partnership MUSC Health partnership Mackenzie Health partnership Lets talk What biggest challenges informatics? Whether interoperability enterprise achieving greater standardization care, partner deeply understand infrastructure operations, deliver solutions help transform health system. Reach form started. Cum v putem ajuta? Selectai , Philips Je suis intresse par les solutionsproduits sant pour les professionnels sant. Je recherche une assistance technique pour les solutionsproduits sant. Je suis intresse par les produits pour les consommateurs grand public. Je suis intresse par les produits luminaires lighting Signify. Jaimerai travailler chez Philips. Interesse commerciale prodotto soluzione medicale Richiesta materiale informativo prodotto soluzione medicale Assistenza tecnica prodotto soluzione medicale Informazioni su prodotto consumatori Opportunit lavorative Philips Ik heb interesse een healthcareoplossing voor professionals Ik zoek technische ondersteuning voor mijn healthcareoplossing Ik heb interesse een consumentenproduct Ik heb interesse verlichting Signify Ik wil werken bij Philips Ik heb een vraag sponsoring Ik heb interesse een healthcareoplossing voor professionals Ik zoek technische ondersteuning voor mijn healthcareoplossing Ik heb interesse een consumentenproduct Ik heb interesse verlichting Signify Ik wil werken bij Philips Ich interessiere mich fr Lsungen fr medizinisches Fachpersonal Ich suche technischen Support fr meine HealthcareLsungen Ich suche Support fr Konsumentenprodukte von Philips Ich interessiere mich fr Beleuchtung Signify Ich mchte bei Philips arbeiten Ich interessiere mich fr Lsungen fr 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We work partners distributors contact Philips product behalf. Informaii ulterioare Informaii ulterioare din partea unui reprezentant autorizat vnzri Cotaie pre Demonstraie Doar documentaie Metoda contact preferat Metoda contact preferat Email lucru Telefon Intervalul orar care doreti fii contactat Intervalul orar care doreti fii contactat Dimineata devreme Dimineata tarziu Dupamiaz timpurie Dupaamiaza tarziu Intervalul timp estimat pn la momentul unei achiziii Intervalul timp estimat pn la momentul unei achiziii Urgent 03 luni 312 luni 12 luni Comentarii I agree crossborder transfer personal information. I agree crossborder transfer personal information. Prin prezenta mi dau acordul primesc, prin email sau prin telefon, informaii despre produsele, serviciile, evenimentele promoiile Philips, inclusiv informaii despre coresponden, care sunt relevante pentru n ceea ce privete activitile preferinele mele, inclusiv ateptrile pe care leam indicat n acest formular.<br><a target=_blank href=contentB2B_HCro_ROaboutcontactdefaultmqlpopupone.html>Ce nseamn acest lucru? <a> Prin prezenta mi dau acordul primesc, prin email sau prin telefon, informaii despre produsele, serviciile, evenimentele promoiile Philips, inclusiv informaii despre coresponden, care sunt relevante pentru n ceea ce privete activitile preferinele mele, inclusiv ateptrile pe care leam indicat n acest formular.Ce nseamn acest lucru? Sunt acord ca Philips mi poat partaja datele personale cu distribuitorii afiliai ai produselor dispozitivelor Philips, cu scopul ami ndeplini ateptrile indicate n acest formular.<br><a target=_blank href=contentB2B_HCro_ROaboutcontactdefaultmqlpopuptwo.html>Ce nseamn acest lucru? <a><br> Sunt acord ca Philips mi poat partaja datele personale cu distribuitorii afiliai ai produselor dispozitivelor Philips, cu scopul ami ndeplini ateptrile indicate n acest formular.Ce nseamn acest lucru? Prin prezenta mi dau acordul primesc, prin email sau prin telefon, informaii despre produsele, serviciile, evenimentele promoiile Philips, inclusiv informaii despre coresponden, care sunt relevante pentru n ceea ce privete activitile preferinele mele, inclusiv ateptrile pe care leam indicat n acest formular.<br> Prin prezenta mi dau acordul primesc, prin email sau prin telefon, informaii despre produsele, serviciile, evenimentele promoiile Philips, inclusiv informaii despre coresponden, care sunt relevante pentru n ceea ce privete activitile preferinele mele, inclusiv ateptrile pe care leam indicat n acest formular. Ce inseamna asta? Philips apreciaz respect confidenialitatea clienilor si. V putei retrage permisiunile n orice moment. Pentru mai multe informaii, citii Politica confidenialitate Philips. napoi By clicking link, leaving official Royal Philips Healthcare Philips website. Any links thirdparty websites appear site provided convenience way represent affiliation endorsement information provided linked websites. Philips makes representations warranties kind regard thirdparty websites information contained therein. I understand Connect Philips Country Romnia Romn Investor Relations Careers Philips Privacy notice Terms use Product security Facebook Twitter notice Sitemap Koninklijke Philips N.V., 2004 2020. Toate drepturile rezervate. By clicking link, leaving official Royal Philips Healthcare Philips website. Any links thirdparty websites appear site provided convenience way represent affiliation endorsement information provided linked websites. Philips makes representations warranties kind regard thirdparty websites information contained therein. I understand | 2,020 | [
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https://thezimbabwedaily.com/news/509499-can-artificial-intelligence-replace-emotional-intelligence.html | 2020-09-16T00:00:00 | en | Can artificial intelligence replace emotional intelligence? | The Zimbabwe Daily |
Can artificial intelligence replace emotional intelligence? | The Zimbabwe Daily
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Home News Can artificial intelligence replace emotional intelligence?Can artificial intelligence replace emotional intelligence?
15th September 2020guest column:Emmanuel ZvadaIT is clear that the coronavirus pandemic has changed how human resources (HR) personnel think about the use of technology. It is an undeniable fact that the traditional business function is being replaced with artificial intelligence.The rise of artificial intelligence (AI) is one of the defining business opportunities for HR leaders today though the fear is if artificial intelligence (AI) is coming to displace all jobs.If organisations wish to remain competitive in today’s global economy, they must look at ways to incorporate conversational AI for HR transactions in their decision-making process and other practices.What is artificial intelligence?
AI refers to technology used to do a task that requires some level of intelligence to accomplish. In other words, they are tools trained to do what a human can do. AI is different from ordinary softwares because it has high-speed computation, a huge amount of quality data and advanced algorithms.AI technologies offer significant opportunities to improve HR functions, such as self-service transactions, recruiting and talent acquisition, payroll, reporting, access policies and procedures.HR executives have faith that merging AI with their administration functions will benefit and improve the overall employee experience.AI is reinventing HR in a way not seen before by automating the repetitive task of hiring, onboarding, learning, and development, allowing HR teams to focus more on creative and strategic work. AI is being used in HR to automate repetitive, low-value tasks, thus increasing the focus on more strategic work.Many fear that the rise of AI will lead to machines and robots replacing human workers and view this progression in technology as a threat rather than a tool to better ourselves.Let me deal with all the fears and resistance of AI by enlightening all HR practitioners that they are not being replaced, but HR processes, systems and practices are just being reinvented.Why AIAdopting a workplace AI leads to more automatic processing of tasks that a company works through each day. It is crucial to note that the beauty of AI in the workplace is that with its aid, the amount of work that can be done in a day or two by employees, can be done in a matter of hours.This means productivity and efficiency is enhanced. Using AI in the workplace is also easier than many think. AI in the workplace allows a company and its employees to reach maximum efficiency levels, leaving more time for projects and networking.Substitute manual processes with automationAI automates processes eliminating repetitive, manual processes with automation. Think about how much time is wasted on repetitive processes that could be performed with automation.By automating many of the physical and redundant processes performed by your workforce, you can allocate more time, resources and brainpower to larger endeavours like sales strategy and customer satisfaction.Saves timeA chatbot is a service powered by pre-programmed rules that you interact with through a chat interface.Chatbots have actually been around for years, but they have had a recent renaissance with the rise of AI.These easy-to-use tools are incredibly useful in the workplace since they allow for instant communication, ergo faster decision-making.AI chatbots become smarter over time and give better answers to frequently asked questions, freeing up time for management to focus on more strategic tasks.These virtual robots are an effective form of bridging communication gaps between employees and management and make internal information easily accessible.AI improves productivityThe main objective of an organisation is to earn maximum profit by utilising minimum manpower.Through technical improvements and automation software, multiple tasks in the office are achieved effortlessly and the work of the employees become much simpler.The advancement of technology works as an important tool, but at the same time, increases the complexity at the workplace. Not only does AI increase productivity, it also improves overall quality.With any job, human-error is always a factor, whereas AI software is less likely to malfunction.It also enables deeper personalisation by understanding what customers want over time, resulting in better quality products and services.Reduces human biasHumans usually have a bias in most choices or decisions they make. Even when striving for inclusiveness, HR professionals may subconsciously lean towards a particular candidate, for example in recruitment.Now, with AI, algorithms can be designed to help employers identify and remove these biases.That potentially translates to better hiring communication, attracting a more diverse group of candidates.Those same algorithms can also identify candidates who may have been screened out due to human bias.Is AI going to invade our human capabilities?It’s easy to say and conclude that AI could somehow replace humans in the near future — largely due to conventional wisdom.But if you think that way, then you don’t have enough knowledge of how computers work.The automation of tasks through AI technology allows for the freeing of HR professionals to focus on uniquely human abilities such as critical thinking, creativity, and empathy. While they are involved with the more human tasks, technology, in the meantime, can handle the more ordinary tasks.AI cannot replace empathyEven if the array of technologies can offer brilliant solutions, it is difficult for them to mimic empathy. Why?Because at the core of empathy, there is the process of building trust, listening to the other person, paying attention to their needs, expressing the feeling of compassion and responding in a manner that the other person knows they were understood.AI will not replace emotional intelligenceThose that want to stay relevant in their professions will need to focus on skills and capabilities that artificial intelligence has trouble replicating.AI now has the capability to not only gather, analyse, and interpret data, but also to develop an action plan to implement a solution.What can humans do that machines cannot? The answer is simple, understanding, motivating, and interacting with humans and this is where the importance of emotional intelligence (EQ) comes in.Leaders who have the ability to empathise, inspire, and develop meaningful relationships with their people will begin to differentiate themselves in a constantly evolving and uncertain world.Will the future tech actually displace humans and their jobs? That is a NO in block letters because as more and more AI is entering the world, more and more emotional intelligence must follow suit in leadership.Emmanuel Zvada is an award-winning Most Fabulous Global HR Practitioner 2020, HR disrupter and trusted coach. For comments, inbox or call +263771467441Do you have a coronavirus story? You can email us on: [email protected] this:Click to print (Opens in new window)Click to email this to a friend (Opens in new window)Click to share on WhatsApp (Opens in new window)Click to share on Twitter (Opens in new window)Click to share on Facebook (Opens in new window)Click to share on Pinterest (Opens in new window)Click to share on Reddit (Opens in new window)Click to share on Tumblr (Opens in new window)Click to share on Pocket (Opens in new window)Click to share on Telegram (Opens in new window)Click to share on Skype (Opens in new window)Like this:Like Loading...Related
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| Can artificial intelligence replace emotional intelligence? | Can artificial intelligence replace emotional intelligence? The Zimbabwe Daily Sign inHomeAdvertisingSubmit story opinionPrivacy Sign WelcomeLog accountyour usernameyour password Forgot password? Password recoveryRecover passwordyour email 17.1 CHarare16th September 2020Sign Join Tel: 263 78 6729125 Email: info International: 1 724 726 1658 Sign inWelcome Log accountyour usernameyour password Forgot password? Get helpPassword recoveryRecover passwordyour email A password emailed you. The Zimbabwe Daily HomeAdvertisingSubmit story opinionPrivacy Home News Can artificial intelligence replace emotional intelligence?Can artificial intelligence replace emotional intelligence? 15th September 2020guest column:Emmanuel ZvadaIT clear coronavirus pandemic changed human resources HR personnel think use technology. It undeniable fact traditional business function replaced artificial intelligence.The rise artificial intelligence AI defining business opportunities HR leaders today fear artificial intelligence AI coming displace jobs.If organisations wish remain competitive todays global economy, look ways incorporate conversational AI HR transactions decisionmaking process practices.What artificial intelligence? AI refers technology task requires level intelligence accomplish. In words, tools trained human do. AI different ordinary softwares highspeed computation, huge quality data advanced algorithms.AI technologies offer significant opportunities improve HR functions, selfservice transactions, recruiting talent acquisition, payroll, reporting, access policies procedures.HR executives faith merging AI administration functions benefit improve overall employee experience.AI reinventing HR way seen automating repetitive task hiring, onboarding, learning, development, allowing HR teams focus creative strategic work. AI HR automate repetitive, lowvalue tasks, increasing focus strategic work.Many fear rise AI lead machines robots replacing human workers view progression technology threat tool better ourselves.Let deal fears resistance AI enlightening HR practitioners replaced, HR processes, systems practices reinvented.Why AIAdopting workplace AI leads automatic processing tasks company works day. It crucial note beauty AI workplace aid, work day employees, matter hours.This means productivity efficiency enhanced. Using AI workplace easier think. AI workplace allows company employees reach maximum efficiency levels, leaving time projects networking.Substitute manual processes automationAI automates processes eliminating repetitive, manual processes automation. Think time wasted repetitive processes performed automation.By automating physical redundant processes performed workforce, allocate time, resources brainpower larger endeavours like sales strategy customer satisfaction.Saves timeA chatbot service powered preprogrammed rules interact chat interface.Chatbots actually years, recent renaissance rise AI.These easytouse tools incredibly useful workplace allow instant communication, ergo faster decisionmaking.AI chatbots smarter time better answers frequently asked questions, freeing time management focus strategic tasks.These virtual robots effective form bridging communication gaps employees management internal information easily accessible.AI improves productivityThe main objective organisation earn maximum profit utilising minimum manpower.Through technical improvements automation software, multiple tasks office achieved effortlessly work employees simpler.The advancement technology works important tool, time, increases complexity workplace. Not AI increase productivity, improves overall quality.With job, humanerror factor, AI software likely malfunction.It enables deeper personalisation understanding customers want time, resulting better quality products services.Reduces human biasHumans usually bias choices decisions make. Even striving inclusiveness, HR professionals subconsciously lean particular candidate, example recruitment.Now, AI, algorithms designed help employers identify remove biases.That potentially translates better hiring communication, attracting diverse group candidates.Those algorithms identify candidates screened human bias.Is AI going invade human capabilities?Its easy conclude AI replace humans near future largely conventional wisdom.But think way, dont knowledge computers work.The automation tasks AI technology allows freeing HR professionals focus uniquely human abilities critical thinking, creativity, empathy. While involved human tasks, technology, meantime, handle ordinary tasks.AI replace empathyEven array technologies offer brilliant solutions, difficult mimic empathy. Why?Because core empathy, process building trust, listening person, paying attention needs, expressing feeling compassion responding manner person knows understood.AI replace emotional intelligenceThose want stay relevant professions need focus skills capabilities artificial intelligence trouble replicating.AI capability gather, analyse, interpret data, develop action plan implement solution.What humans machines cannot? The answer simple, understanding, motivating, interacting humans importance emotional intelligence EQ comes in.Leaders ability empathise, inspire, develop meaningful relationships people begin differentiate constantly evolving uncertain world.Will future tech actually displace humans jobs? That NO block letters AI entering world, emotional intelligence follow suit leadership.Emmanuel Zvada awardwinning Most Fabulous Global HR Practitioner 2020, HR disrupter trusted coach. For comments, inbox 263771467441Do coronavirus story? You email on: news this:Click print Opens new windowClick email friend Opens new windowClick share WhatsApp Opens new windowClick share Twitter Opens new windowClick share Facebook Opens new windowClick share Pinterest Opens new windowClick share Reddit Opens new windowClick share Tumblr Opens new windowClick share Pocket Opens new windowClick share Telegram Opens new windowClick share Skype Opens new windowLike this:Like Loading...Related Facebook Twitter WhatsApp Linkedin ReddIt Email Print RELATED ARTICLESMORE FROM AUTHOR NewsUnderstanding ILO Convention Violence Harassment No. 190 NewsCOVID19 stalled 20 years progress: Latest Goalkeepers report NewsAfrican Leaders Nutrition leaders embed nutrition Covid19 response recovery NewsNew antibody drug joins Oxford University trial Coronavirus treatments NewsCOVID19 seasonal virus NewsStudy Finds Ibuprofen Likely Doesnt Make COVID19 Symptoms WorseRecent Posts Understanding ILO Convention Violence Harassment No. 190 16th September 2020 COVID19 stalled 20 years progress: Latest Goalkeepers report 16th September 2020 African Leaders Nutrition leaders embed nutrition Covid19 response recovery 16th September 2020 New antibody drug joins Oxford University trial Coronavirus treatments 16th September 2020 COVID19 seasonal virus 16th September 2020 Study Finds Ibuprofen Likely Doesnt Make COVID19 Symptoms Worse 16th September 2020 Climateproofed Presidential Input Scheme launched 15th September 2020 Woman scalds husband cooking oil 15th September 2020 Government opens economy 15th September 2020 MDCT recalls Bulawayo councillors 15th September 2020 Parliament engage Ministry Term 2 school fees demand 15th September 2020 Transitional Stabilisation Programme yields macroeconomic stability 15th September 2020 Zimsec extends registration November O ALevel exams 15th September 2020 President salutes parents birthday 15th September 2020 Intercity bus services resume 15th September 2020ABOUT US us: info US HomeAdvertisingSubmit story opinionPrivacy The Zimbabwe Daily Add The Zimbabwe Daily HomescreenAdd Send Email Address Your Name Your Email Address Cancel Post sent check email addresses Email check failed, try Sorry, blog share posts email. bloggers like this: Enable Notifications. 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https://www.milfordmirror.com/news/article/Dissident-Ai-Weiwei-protests-possible-extradition-15602451.php | 2020-09-28T00:00:00 | en | Dissident Ai Weiwei protests possible extradition of Assange - Milford Mirror |
Dissident Ai Weiwei protests possible extradition of Assange - Milford Mirror
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https://www.milfordmirror.com/news/article/Dissident-Ai-Weiwei-protests-possible-extradition-15602451.php
Dissident Ai Weiwei protests possible extradition of Assange
Pan Pylas, Associated Press
Updated
1:33 pm EDT, Monday, September 28, 2020
Chinese contemporary artist and activist Ai Weiwei stands with protesters outside the Old Bailey in support of Julian Assange's bid for freedom during his extradition hearing, in London, Monday, Sept. 28, 2020.
Chinese contemporary artist and activist Ai Weiwei stands with protesters outside the Old Bailey in support of Julian Assange's bid for freedom during his extradition hearing, in London, Monday, Sept. 28, 2020.
Photo: Kirsty Wigglesworth, AP
Photo: Kirsty Wigglesworth, AP
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Chinese contemporary artist and activist Ai Weiwei stands with protesters outside the Old Bailey in support of Julian Assange's bid for freedom during his extradition hearing, in London, Monday, Sept. 28, 2020.
Chinese contemporary artist and activist Ai Weiwei stands with protesters outside the Old Bailey in support of Julian Assange's bid for freedom during his extradition hearing, in London, Monday, Sept. 28, 2020.
Photo: Kirsty Wigglesworth, AP
Dissident Ai Weiwei protests possible extradition of Assange
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LONDON (AP) — The dissident Chinese contemporary artist Ai Weiwei staged a silent protest outside London's Old Bailey court on Monday against the possible extradition of WikiLeaks founder Julian Assange to the United States, where he is wanted on an array of espionage charges.
The court, meanwhile, heard that Assange, if convicted in the U.S., could end up spending the rest of his life imprisoned in the federal Supermax prison in Florence, Colorado. The facility is home to Unabomber Ted Kaczynski, Mexican drug lord Joaquin “El Chapo” Guzman, 1993 World Trade Center mastermind Ramzi Yousef and Zacarias Moussaoui, the only man ever convicted in a U.S. court for a role in the Sept. 11 attacks.
Ai, who visited Assange at the Ecuadorian Embassy in London where he was holed up for seven years and subsequently at Britain's Belmarsh high security prison, said the authorities have a responsibility to protect the freedom of the press.
“He is prepared to fight, but this is not fair to him," he said. “Free him, let him be a free man.”
U.S. prosecutors have indicted the 49-year-old Assange on 17 espionage charges and one charge of computer misuse over WikiLeaks’ publication of secret American military documents a decade ago. The charges carry a maximum sentence of 175 years in prison.
As well as arguing that the extradition would pose a threat to Assange’s life, his defense team say that Assange is a journalist and entitled to First Amendment protections for the publication of leaked documents that exposed U.S. military wrongdoing in Iraq and Afghanistan.
“He truly represents a core value of why we are free — because we have freedom of the press.," Ai said. “We need a lot of protesting, and it can take any form. I’m an artist, if I cannot use my art, it’s very limited, then I’d rather just be silent.”
Assange’s father, John Shipton, was also protesting outside the court.
“Ai Weiwei is an artist of gigantic international standing, he stands alongside Julian to give the fight international meaning,” he said.
Ai, 63, is one of the world’s most successful artists, famous around the world for his installations of bicycles and sunflower seeds. In his native China, he was alternately encouraged, tolerated and harassed, spending time in detention and being barred for years from leaving the country. He was arrested at Beijing’s airport in April 2011 and held for 81 days without explanation during a wider crackdown on dissent. He is now based in Berlin and in the U.K.
On Monday, the court heard from two witnesses who said Assange would face intolerable conditions if extradited.
It is widely mooted that Assange would be moved to the pre-trial facilities at Alexandria Detention Center in Virginia if extradited. Other recent high-profile federal defendants there include President Donald Trump's 2016 campaign chairman Paul Manafort and Chelsea Manning, the former intelligence analyst who leaked a trove of documents to WikiLeaks and who tried to take her own life earlier this year at the facility.
Yancey Ellis, a Virginia-based lawyer who has had clients at the facility, said Assange would likely be put into an administrative segregation unit for months or even years that would be akin to “solitary confinement.”
And Joel Sickler, who heads the Justice Advocacy Group, said Assange would face “no meaningful interaction” in pre-trial confinement in a cell the size of "a parking space.”
Sickler, who has decades of experience in the field of the U.S. prison system, also said Assange would face the “real risk” of special administrative measures, or SAMs, being imposed on him by the U.S. Attorney General if convicted. The imposition of such measures could further curtail Assange's links and communications to the outside world as well as his movements within prison.
Sickler said it was highly likely that Assange could be sent to the Supermax facility in Colorado. The prison, also known as ADX, is so secure, remote and austere it has been dubbed the “Alcatraz of the Rockies.”
“Should Mr. Assange be sent to ADX he will almost certainly spend all his time in ADX in solitary," Sickler said in written testimony to the court. “While conditions at a penitentiary are severe, nothing compares to the near permanent solitary life of an inmate at ADX.”
Assange’s lawyers have argued that their client could very well try to kill himself if extradited to the U.S., while those acting on behalf of the U.S. government have sought to show that his mental state is not as bad as claimed and that he wouldn’t be subjected to improper conditions.
Assange's extradition hearing, which was delayed by the coronavirus pandemic, is due to end this week.
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| Dissident Ai Weiwei protests possible extradition of Assange | Dissident Ai Weiwei protests possible extradition Assange Milford Mirror Home Sign Up For EMail Alerts Print Archives Todays Print Ads Print Edition Submission Guidelines Submissions St. Marys thanks Jimmys Apizza Businesses, performing arts gear Phase 3 Trick Trot 5K benefit BethEl Center Shelter Registrars Voters office open complete preliminary voter News Business Politics Elections Town Government Community People Schools Police Fire Regional Entertainment St. Marys thanks Jimmys Apizza Businesses, performing arts gear Phase 3 Trick Trot 5K benefit BethEl Center Shelter Registrars Voters office open complete preliminary voter Obituaries Obituaries Prior 2019 St. Marys thanks Jimmys Apizza Businesses, performing arts gear Phase 3 Trick Trot 5K benefit BethEl Center Shelter Registrars Voters office open complete preliminary voter Sports Other Sports Sports Features Youth Sports Recreational Sports High School Sports Law, Foran boys soccer teams eager start season Foran, Lauralton, Law represented AllSCC teams Hall makes right choice VMI Jillian Hall taking soccer skills VMI Opinion Cartoon Gallery Did I that? 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Kneads Cravings Bill Fairs Kids Stuff Lively Arts On Exhibit On Stage Something New Sound Music Weekend Movie Menu Test Drive Did I Say That?: A selfcheckout mistake marks Joe Pisani Drive: You pay 2020 Lexus RX 450h Reel Dad: Bill Murray shines Sofia Coppola film On Kneads Cravings: Pumpkin spice things nice light Help Delivery Problems Us Privacy Notice Terms Use Automotive Classifieds MenuSections Dissident Ai Weiwei protests possible extradition Assange Pan Pylas, Associated Press Updated 1:33pm EDT, Monday, September 28, 2020 Chinese contemporary artist activist Ai Weiwei stands protesters outside Old Bailey support Julian Assanges bid freedom extradition hearing, London, Monday, Sept. 28, 2020. Chinese contemporary artist activist Ai Weiwei stands protesters outside Old Bailey support Julian Assanges bid freedom extradition hearing, London, Monday, Sept. 28, 2020. Photo: Kirsty Wigglesworth, AP Photo: Kirsty Wigglesworth, AP Image 1 15 Caption Close Image 1 15 Chinese contemporary artist activist Ai Weiwei stands protesters outside Old Bailey support Julian Assanges bid freedom extradition hearing, London, Monday, Sept. 28, 2020. Chinese contemporary artist activist Ai Weiwei stands protesters outside Old Bailey support Julian Assanges bid freedom extradition hearing, London, Monday, Sept. 28, 2020. Photo: Kirsty Wigglesworth, AP Dissident Ai Weiwei protests possible extradition Assange 1 15 Back Gallery LONDON AP The dissident Chinese contemporary artist Ai Weiwei staged silent protest outside Londons Old Bailey court Monday possible extradition WikiLeaks founder Julian Assange United States, wanted array espionage charges. The court, meanwhile, heard Assange, convicted U.S., end spending rest life imprisoned federal Supermax prison Florence, Colorado. The facility home Unabomber Ted Kaczynski, Mexican drug lord Joaquin El Chapo Guzman, 1993 World Trade Center mastermind Ramzi Yousef Zacarias Moussaoui, man convicted U.S. court role Sept. 11 attacks. Ai, visited Assange Ecuadorian Embassy London holed seven years subsequently Britains Belmarsh high security prison, said authorities responsibility protect freedom press. He prepared fight, fair him, said. Free him, let free man. U.S. prosecutors indicted 49yearold Assange 17 espionage charges charge misuse WikiLeaks publication secret American military documents decade ago. The charges carry maximum sentence 175 years prison. As arguing extradition pose threat Assanges life, defense team Assange journalist entitled First Amendment protections publication leaked documents exposed U.S. military wrongdoing Iraq Afghanistan. He truly represents core value free freedom press., Ai said. We need lot protesting, form. Im artist, I use art, limited, Id silent. Assanges father, John Shipton, protesting outside court. Ai Weiwei artist gigantic international standing, stands alongside Julian fight international meaning, said. Ai, 63, worlds successful artists, famous world installations bicycles sunflower seeds. In native China, alternately encouraged, tolerated harassed, spending time detention barred years leaving country. He arrested Beijings airport April 2011 held 81 days explanation wider crackdown dissent. He based Berlin U.K. On Monday, court heard witnesses said Assange face intolerable conditions extradited. It widely mooted Assange moved pretrial facilities Alexandria Detention Center Virginia extradited. Other recent highprofile federal defendants include President Donald Trumps 2016 campaign chairman Paul Manafort Chelsea Manning, intelligence analyst leaked trove documents WikiLeaks tried life earlier year facility. Yancey Ellis, Virginiabased lawyer clients facility, said Assange likely administrative segregation unit months years akin solitary confinement. And Joel Sickler, heads Justice Advocacy Group, said Assange face meaningful interaction pretrial confinement cell size parking space. Sickler, decades experience field U.S. prison system, said Assange face real risk special administrative measures, SAMs, imposed U.S. Attorney General convicted. The imposition measures curtail Assanges links communications outside world movements prison. Sickler said highly likely Assange sent Supermax facility Colorado. The prison, known ADX, secure, remote austere dubbed Alcatraz Rockies. Should Mr. Assange sent ADX certainly spend time ADX solitary, Sickler said written testimony court. While conditions penitentiary severe, compares near permanent solitary life inmate ADX. Assanges lawyers argued client try kill extradited U.S., acting behalf U.S. government sought mental state bad claimed wouldnt subjected improper conditions. Assanges extradition hearing, delayed coronavirus pandemic, end week. View Comments 2020 Hearst Communications, . Logo Return Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use r Services Advertising Careers FAQ Us eEdition Connect Facebook Twitter Hearst Newspapers Hearst Newspapers, II LLC | 2,020 | [
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https://myfox8.com/news/fired-florida-data-scientist-rebekah-jones-named-forbes-technology-person-of-the-year/ | 2020-12-30T00:00:00 | en | Fired Florida data scientist Rebekah Jones named Forbes ‘Technology Person of the Year’ | myfox8.com |
Fired Florida data scientist Rebekah Jones named Forbes ‘Technology Person of the Year’ | myfox8.com
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Fired Florida data scientist Rebekah Jones named Forbes ‘Technology Person of the Year’
News
by: WFLA 8 On Your Side Staff and Nexstar Media Wire
Posted: Dec 30, 2020 / 08:56 AM EST
/ Updated: Dec 30, 2020 / 08:56 AM EST
TAMPA (WFLA) – Forbes has named former Florida data scientist Rebekah Jones its “Technology Person of the Year.”
Jones, the data curator who was fired for unauthorized public comments about Florida’s coronavirus numbers back in May, created her own dashboard to track coronavirus numbers. She later launched a national dashboard to track school-related cases.
She claims she was fired for being too transparent in regard to COVID-19 numbers and refusing to manipulate data.
Authorities release full body camera footage of raid on home of fired Florida data scientist
“Regardless, she is the latest technologist who stepped up to fill the vacuum left by governments during COVID-19,” the article on Forbes’ website reads.
On Dec. 7, Florida Department of Law Enforcement agents served a search warrant on Jones’ home.According to an FDLE spokesperson, agents believe someone at the Tallahassee home where they performed the search warrant illegally accessed the Florida Department of Health’s messaging system.
On Dec. 21, Jones filed a lawsuit, stating that FDLE “violated her rights under the First, Fourth, and Fourteenth Amendments,” and “terrorized” her family by coming in with “guns drawn.”
Jones is the first-ever recipient of the magazine’s Technology Person of the Year distinction.
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| Fired Florida data scientist Rebekah Jones named Forbes ‘Technology Person of the Year’ | Fired Florida data scientist Rebekah Jones named Forbes Technology Person Year Skip content Greensboro 34 Sponsored By Toggle Menu Open Navigation Close Navigation Primary Menu News Coronavirus FOX8 Digital Exclusives Veterans Voices Offbeat Video Game News Buckley Report Newsmakers Entertainment Zoo Filez Made NC Project Pet Newsfeed Now On Your Side Washington DC Bureau Traffic House Call Pass Fail Money Matters Mommy Matters Successful Aging Horoscopes Your Local Election HQ Election Results Your Local Election HQ candidate guide Voter Guide NC Senate Debate preshow Sports Carolina Panthers ACC Football The Big Game Big Tournament Chase For The Championship Japan 2020 Masters Report Big Race Daytona Friday Night Football Weather Daily Forecast FOX8 Chief Meteorologist Van Denton shares winter weather predictions Emily Byrds winter weather predictions FOX8s Kate Garner shares winter weather predictions Charles Ewings winter weather predictions FOX8 Interactive Radar Vans Weather School Watches Warnings Closings Delays Vans Weather Kids FOX8 Hurricane Tracker Watch On Air Live Events Video Center FOX8Old Dominion Triad Holiday Concert Podcasts Hauntings Piedmont Who Killed Grandma Nancy? 57 Shots 90 Seconds Murder Pilot Mountain Deadly Secrets: Lawson Family Murder The Day Helen Disappeared Seduced Satan What Happened Baby Doe Caitlin Cant Remember Who Killed Jennifer Short? 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Jones, data curator fired unauthorized public comments Floridas coronavirus numbers May, created dashboard track coronavirus numbers. She later launched national dashboard track schoolrelated cases. She claims fired transparent regard COVID19 numbers refusing manipulate data. Authorities release body camera footage raid home fired Florida data scientist Regardless, latest technologist stepped vacuum left governments COVID19, article Forbes website reads. On Dec. 7, Florida Department Law Enforcement agents served search warrant Jones home.According FDLE spokesperson, agents believe Tallahassee home performed search warrant illegally accessed Florida Department Healths messaging system. On Dec. 21, Jones filed lawsuit, stating FDLE violated rights First, Fourth, Fourteenth Amendments, terrorized family coming guns drawn. Jones firstever recipient magazines Technology Person Year distinction. Latest headlines FOX8 2 suspects arrested home invasion Rowan County Fired Florida data scientist Rebekah Jones named Forbes Technology Person Year Duke doctor says COVID19 lead psychosis rare cases It filling up: Nearly 1 5 NC hospitals 90 percent full, federal data UK approves use 2nd COVID19 vaccine easier storage Close Modal Suggest Correction Your namerequired Your emailrequired Report typo grammatical errorrequired Submit Suggest Correction Share story MustSee Stories It filling up: Nearly 1 5 NC hospitals 90 percent full, federal data News 1 hour ago Video First known US case coronavirus variant detected Colorado man travel history News 2 hours ago Video Will vaccines protect new COVID strain? What know variant US News 14 hours ago Video Thieves Piedmont Triad steal catalytic converters News 14 hours ago Video Americans receive stimulus payments early tonight, Mnuchin says News 11 hours ago McConnell introduces 2,000 aid checks tied social media immunity election fraud News 10 hours ago Video More MustSee Stories More News Stories 2 suspects arrested home invasion Rowan County FOX8 Digital Desk Dec 30, 2020 ROWAN COUNTY, N.C. Two men arrested allegedly invading womans home Mount Ulla, according Rowan County Sheriffs Office. At 9:28 a.m. Tuesday, deputies responded reported home invasion 12900 block N.C. 801 Mount Ulla. Read Full Article Duke doctor says COVID19 lead psychosis rare cases Maggie Newland, WNCN Dec 30, 2020 RALEIGH, N.C. WNCN Doctors world, including Triangle, reporting extremely rare cases severe psychiatric symptoms brought COVID19. Dr. Brian Kincaid medical director psychiatric emergency department services Duke University Hospital. Read Full Article Video It filling up: Nearly 1 5 NC hospitals 90 percent full, federal data Joedy McCreary, WNCN Dec 30, 2020 RALEIGH, N.C. WNCN Nearly 1 5 hospitals North Carolina responding weekly federal survey said 90 percent recent reporting period. The data U.S. Department Health Human Services, covers sevenday period ended Dec. 24, paints sobering picture states hospital situation advanced stage COVID19 pandemic. Read Full Article Video Top Stories 2 suspects arrested home invasion Rowan County Duke doctor says COVID19 lead psychosis rare cases Video It filling up: Nearly 1 5 NC hospitals 90 percent full, federal data Video UK approves use 2nd COVID19 vaccine easier storage Shy affectionate River use good home help come shell Video Greensboro nonprofit We The People International aims educate entertainment Video First known US case coronavirus variant detected Colorado man travel history Video Man shot multiple times Burlington gas station; police ask help identifying suspect Gallery Local universities prepare students return COVID measures place Video Nashville police records reveal previous complaint Anthony Warner making bombs RV Presidentelect Biden says years vaccinate American people current pace Louisiana Congressmanelect Luke Letlow dies 41 COVID19 complications Read stories More Stories Video shows ranger tasing Native American man New Mexicos Petroglyph National Monument Video Former Panthers linebacker Thomas Davis retire end season More 63,000 vaccinated COVID19 North Carolina Video Like bathtub filling up: Alabama slammed virus Read stories 3Day weather forecast Current 34 Mostly Cloudy Tonight 38 Showers Precip: 40percnt; Tomorrow 59 PM Showers Precip: 50percnt; MOST POPULAR North Carolinians apply online help energy costs beginning Monday Second Stimulus Check: Americans waiting payments face IRS deadline Man shot multiple times Burlington gas station; police ask help identifying suspect Gallery Duke doctor says COVID19 lead psychosis rare cases Video It filling up: Nearly 1 5 NC hospitals 90 percent full, federal data Video Weather Pandemic hitting downtown WinstonSalem businesses hard Video Christmas Day brings gift 25,000 year life Davidson County truck driver Thieves Piedmont Triad steal catalytic converters Video Americans receive stimulus payments early tonight, Mnuchin says Follow FOX8 TwitterTweets myfox8 Facebook Twitter Pinterest YouTube Email News App Weather App News Your Local Election HQ Sports Weather Watch Podcasts Community Jobs About Online Public File NewsNation Now Public File Help Terms Of Use Covers VENN.tv Gaming News Do Not Sell My Personal Information FCC Applications Public File Assistance 1998 2020 Nexstar . . 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https://www.gamesradar.com/uk/blizzard-says-overwatch-and-world-of-warcraft-toxicity-has-dropped-thanks-to-machine-learning/ | 2020-11-03T00:00:00 | en | Blizzard says Overwatch and World of Warcraft toxicity has dropped thanks to machine learning | GamesRadar+ |
Blizzard says Overwatch and World of Warcraft toxicity has dropped thanks to machine learning | GamesRadar+
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Blizzard says Overwatch and World of Warcraft toxicity has dropped thanks to machine learning
By
Connor Sheridan
03 November 2020
"These are small steps, but they can add up to lasting change"
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(Image credit: Blizzard)
Blizzard's giving fans an update on its year so far, and one of the company's proudest achievements is using new tech to cut down on in-game toxicity.Blizzard president J. Allen Brack delivered a "fireside chat" to stand in for Blizzcon, which normally happens around this time of year but was postponed and moved online due to the pandemic. He brought up the company's work on a new machine learning system that helps Blizzard more quickly verify player reports about offensive behavior and language. The system has been in place in Overwatch and Heroes of the Storm for a while."It allows us to issue appropriate penalties quicker, and we've seen an incredible decrease not only in toxic text chat, but an overall decrease in reoffense rates," Brack said. "A few months ago we expanded this system into World of Warcraft's public channels, and we've already seen a decrease in the time disruptive players stick around by half, and we're continuing to improve the speed and the accuracy of this system."Blizzard also added more options for profanity filtering to Overwatch, with options to customize them on a per-channel basis. Ideal for keeping the general and team chat chaos locked down but cutting loose a bit more with your party."These are small steps, but they can add up to lasting change," Brack added. "Combatting offensive behavior, and encouraging inclusivity in all of our games and our workplaces will always be an ongoing effort for us. Games have been a home to many of us for many years, and they, as well as the communities surrounding them, are worth protecting."Check out everything we know about Diablo 4 for the latest updates on one of Blizzard's most-anticipated projects.
Connor Sheridan
Connor has been doing news and feature things for GamesRadar+ since 2012, which is suddenly a long time ago. How on earth did that happen?
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| Blizzard says Overwatch and World of Warcraft toxicity has dropped thanks to machine learning | Blizzard says Overwatch World Warcraft toxicity dropped thanks machine learning GamesRadar Skip main content GamesRadar The Games, Movies TV You Love Please deactivate ad blocker order subscription offer News Deals Guides Reviews Video Magazines Total Film Edge Retro Gamer Official PlayStation SFX PopularBlack Friday dealsPS5Xbox Series XGolden Joystick Awards 2020Stories GamesRadar supported audience. When purchase links site, earn affiliate commission. Learn Home News Blizzard says Overwatch World Warcraft toxicity dropped thanks machine learning By Connor Sheridan 03 November 2020 These small steps, add lasting change Comments Shares Image credit: Blizzard Blizzards giving fans update year far, companys proudest achievements new tech cut ingame toxicity.Blizzard president J. Allen Brack delivered fireside chat stand Blizzcon, normally happens time year postponed moved online pandemic. He brought companys work new machine learning helps Blizzard quickly verify player reports offensive behavior language. The place Overwatch Heroes Storm while.It allows issue appropriate penalties quicker, weve seen incredible decrease toxic text chat, overall decrease reoffense rates, Brack said. A months ago expanded World Warcrafts public channels, weve seen decrease time disruptive players stick half, continuing improve speed accuracy system.Blizzard added options profanity filtering Overwatch, options customize perchannel basis. Ideal keeping general team chat chaos locked cutting loose bit party.These small steps, add lasting change, Brack added. Combatting offensive behavior, encouraging inclusivity games workplaces ongoing effort us. Games home years, they, communities surrounding them, worth protecting.Check know Diablo 4 latest updates Blizzards mostanticipated projects. Connor Sheridan Connor news feature things GamesRadar 2012, suddenly long time ago. How earth happen? Topics news games Overwatch World Warcraft Show Load Comments Game Reviews Movie Reviews TV Reviews 1 Hocus Pocus board game review: A difficult fun challenge overcome 2 The Dark Pictures: Little Hope review: Supermassives best game Until Dawn 3 Pikmin 3 Deluxe review: Absolutely deserves chance sun 4 Watch Dogs Legion review: Royally shakes template Play As Anyone mechanic 5 Godtear board game review: Easy learn, quick, accommodating 1 Borat Subsequent Moviefilm review: A niiice surprise Sacha Baron Cohen 2 The Witches review: Anne Hathaway aims hammy, funny villainy, whale time 3 The Trial Chicago 7 review: An emotionally tough exhilarating watch 4 Rebecca review: Handsome, risktaking Netflix remake sacrifices suspense sweeping sadness 5 Pixars Soul review: Will leave blubbing tinsel come Christmas 1 The Mandalorian season 2, episode 1 review: Another wonderful adventure galaxy far, far away 2 Star Trek: Discovery season 3, episode 3 review: So political, easily retitled Make Earth Great Again 3 Star Trek: Discovery season 3, episode 2 review: Potentially closest thing TrekWars crossover 4 Star Trek: Discovery season 3, episode 1 review recap: An unrecognisable vision future 5 The Haunting Bly Manor review: A fun Netflix horror leave feeling uneasy FIND A PRODUCT PS4 headsets PS4 Storage Xbox headsets Xbox Storage Nintendo headsets Gaming laptop Gaming PC Gaming chairs Most Popular The best Xbox One external hard drives 2020 The best PS4 external hard drives 2020 The best PS4 SSD 2020 Gaming deals, prizes latest news Get best gaming deals, reviews, product advice, competitions, unmissable gaming news Receive news offers brands? Yes No Receive mail behalf trusted partners sponsors? Yes No Thank signing GamesRadar. You receive verification email shortly. There problem. Please refresh try again. No spam, promise. You unsubscribe time share details permission. GamesRadar Future plc, international media group leading digital publisher. Visit corporate site. Terms conditions Privacy policy policy Advertise Accessibility Statement Future Publishing Limited Quay House, The Ambury, Bath BA1 1UA. . England Wales company registration number 2008885. | 2,020 | [
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https://illadelink.com/thriving-future-of-the-global-edge-ai-software-market/ | 2020-10-29T00:00:00 | en | Thriving: Future of the Global Edge AI Software Market – Illadel Graff Supply |
Thriving: Future of the Global Edge AI Software Market – Illadel Graff Supply
Thursday, October 29 2020
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Thriving: Future of the Global Edge AI Software Market
Research DiveOctober 29, 2020
A latest report published by Research Dive reveals that the global edge AI software market is estimated to exceed $3,093.2 million by 2027, growing at a CAGR of 28.8% from 2020 to 2027.
This report endows exhaustive data and analysis of the current scenario and future growth of the market. The report is a reliable research study, delivering detailed market statistics for new players, stakeholders, investors, market players, shareholders, etc.
Factors Impacting the Market Growth:
According to the report, the increased use of edge AI software in the telecom sector, due to its benefits like contextual push intelligence, 360 insight capability across the connected systems, accessibility to productivity tools in one place, and many more, is leading to the growth of the global edge AI software market. Rising usage of the Internet worldwide has paved way for innovations and advancements in the edge AI software, thus delivering enhanced working capacity in connected networks. The report segments the market into component, data source, application, end-user, and region.
Download Sample Report of the Edge AI Software Market @ https://www.researchdive.com/download-sample/399
Solution Segment to Show Enormous Growth amidst the Forecast Period
By component, the report divides the market into solution and services. Among these, the solution segment is projected to seize the highest share of the market by growing at a CAGR of 27.9% during the course of the estimated timeframe. This is mainly due to advanced features of the solution component, such as ability to captured data and design models, and application scenarios and the application software that helps in functioning edge AI software on different IoT devices.
Video and Image Recognition Segment to Seize Major Market Share during the Forecast Period
By data source, the report divides the market into video and image recognition, speech recognition, bio-metric data, sensor data, and mobile data. Among these, the video and image recognition segment is estimated to show significant growth by growing with a CAGR of 27.9% during the forecast timeframe. This growth is mainly due to augmented use of video and image data source for efficiently identifying suspects in AI accelerated systems for analyzing and processing of images and videos in various application areas.
North American Market to Exhibit Remarkable Growth
The report evaluates the global edge AI software market across several regions including Asia Pacific, North America, Europe, and LAMEA. Among these, the North American market is projected to grow with a CAGR of 27.5% during the projected timeframe. This is mainly due to the presence of large number of companies and implementation of numerous advanced technologies in the region.
Check out How COVID-19 impact on the Edge AI Software Market. Click here to Connect with Analyst @ https://www.researchdive.com/connect-to-analyst/399
Effect of COVID-19 on the Market Growth:
The COVID-19 pandemic has made an optimistic impact on the global edge AI software industry as many businesses are adopting edge AI software for complete automation in work processes and run the operational flow efficiently in the course of the pandemic. However, the shutdown of edge AI software production companies amidst the lockdown has affected the market growth to a certain extent.
Leading Players in the Market:
The leading players listed in the report are:
Anagog Ltd.
International Business Machine (IBM)
Imagimob AB
TIBCO Software Inc.
Microsoft Corporation
Foghorn Systems, Inc.
Tact.ai Technologies Inc.
Veea Inc.
In Vision AI
Amazon Web Services (AWS)
The report delivers several business policies and strategies of the foremost players functioning in the industry, which includes latest strategic moves & advances, product/service offerings, business performance, and SWOT analysis.
About Us:
Research Dive is a market research firm based in Pune, India. Maintaining the integrity and authenticity of the services, the firm provides the services that are solely based on its exclusive data model, compelled by the 360-degree research methodology, which guarantees comprehensive and accurate analysis. With unprecedented access to several paid data resources, team of expert researchers, and strict work ethic, the firm offers insights that are extremely precise and reliable. Scrutinizing relevant news releases, government publications, decades of trade data, and technical & white papers, Research dive deliver the required services to its clients well within the required timeframe. Its expertise is focused on examining niche markets, targeting its major driving factors, and spotting threatening hindrances. Complementarily, it also has a seamless collaboration with the major industry aficionado that further offers its research an edge.
Contact us:
Mr. Abhishek Paliwal
Research Dive
30 Wall St. 8th Floor, New York
NY 10005 (P)
+ 91 (788) 802-9103 (India)
+1 (917) 444-1262 (US)
Toll Free: +1-888-961-4454
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| Thriving: Future of the Global Edge AI Software Market | Thriving: Future Global Edge AI Software Market Illadel Graff Supply Thursday, October 29 2020 Breaking News Global Nylon 11 12 Market 2020 Industry Analysis Manufacturers Evonik, UBE Industries, Arkema, Wanhua Chemical Group, EMSGrivory, BASF, RTP Company Global Cocamide MEA CAS 68140001 Market 2020 Industry Analysis Manufacturers BASF, Shnaghai Xinchenchemical, Hancole Group, Croda International Global RFID Software Market 2020 Industry Analysis Manufacturers IBM, Barco, Oracle, IMPINJ, Infinid Technologies, ODIN, RVB Systems Group, SimplyRFID, Barcodes Global RFID Access Control Card Readers Market 2020 Industry Analysis Manufacturers Honeywell, TSL, Impinj, Datalogic, ThingMagic, Zebra, Mojix, Unitech Global OilSoluble Warming Agent Market 2020 Industry Analysis Manufacturers Symrise, Vantage Specialty Ingredients, Hangzhou Lianzheng Chemicals, Cosphatec GmbH Global UV Filters Food Packaging Market 2020 Industry Analysis Manufacturers Symrise, Sunjin Beauty Science, DSM, BASF, Croda, Ashland, TRIK Industries Global Food Packaging Wax Market 2020 Industry Analysis Manufacturers CGP Coating Innovation, Griff Paper Film, Grantham Manufacturing, MilSpec Packaging Global Connected Healthcare Systems Market 2020 Industry Analysis Manufacturers Accenture, Medtronic, GE Healthcare, IBM, Airstrip Technology, SAP Global Foldable Crates Market 2020 Industry Analysis Manufacturers Viscount Plastics Ltd, Shanghai Join Plastic Products Co.,Ltd., Sino Holdings Group Global Microwave Trays Market 2020 Industry Analysis Manufacturers Bemis Company, .Amcor, Sonoco Products Company, Tokan Kogyo Co., Ltd. Sidebar Random Article Log In Menu Illadel Graff Supply Business Health Science Technology World Publish PRs HomeBusinessThriving: Future Global Edge AI Software Market Business Thriving: Future Global Edge AI Software Market Research DiveOctober 29, 2020 A latest report published Research Dive reveals global edge AI software market estimated exceed 3,093.2 million 2027, growing CAGR 28.8 2020 2027. This report endows exhaustive data analysis current scenario future growth market. The report reliable research study, delivering detailed market statistics new players, stakeholders, investors, market players, shareholders, etc. Factors Impacting Market Growth: According report, increased use edge AI software telecom sector, benefits like contextual push intelligence, 360 insight capability connected systems, accessibility productivity tools place, more, leading growth theglobal edge AI software market. Rising usage Internet worldwide paved way innovations advancements edge AI software, delivering enhanced working capacity connected networks. The report segments market component, data source, application, enduser, region. Download Sample Report Edge AI Software Market @ Solution Segment Show Enormous Growth amidst Forecast Period By component, report divides market solution services. Among these, solution segment projected seize highest share market growing CAGR 27.9 course estimated timeframe. This mainly advanced features solution component, ability captured data design models, application scenarios application software helps functioning edge AI software different IoT devices. Video Image Recognition Segment Seize Major Market Share Forecast Period By data source, report divides market video image recognition, speech recognition, biometric data, sensor data, mobile data. Among these, video image recognition segment estimated significant growth growing CAGR 27.9 forecast timeframe. This growth mainly augmented use video image data source efficiently identifying suspects AI accelerated systems analyzing processing images videos application areas. North American Market Exhibit Remarkable Growth The report evaluates global edge AI software market regions including Asia Pacific, North America, Europe, LAMEA. Among these, North American market projected grow CAGR 27.5 projected timeframe. This mainly presence large number companies implementation numerous advanced technologies region. Check How COVID19 impact Edge AI Software Market. Click Connect Analyst @ Effect COVID19 Market Growth: The COVID19 pandemic optimistic impact global edge AI software industry businesses adopting edge AI software complete automation work processes run operational flow efficiently course pandemic. However, shutdown edge AI software production companies amidst lockdown affected market growth certain extent. Leading Players Market: The leading players listed report are: Anagog Ltd. International Business Machine IBM Imagimob AB TIBCO Software . Microsoft Corporation Foghorn Systems, . Tact.ai Technologies . Veea . In Vision AI Amazon Web Services AWS The report delivers business policies strategies foremost players functioning industry, includes latest strategic moves advances, productservice offerings, business performance, SWOT analysis. : Research Dive market research firm based Pune, India. Maintaining integrity authenticity services, firm provides services solely based exclusive data model, compelled 360degree research methodology, guarantees comprehensive accurate analysis. With unprecedented access paid data resources, team expert researchers, strict work ethic, firm offers insights extremely precise reliable. Scrutinizing relevant news releases, government publications, decades trade data, technical white papers, Research dive deliver required services clients required timeframe. Its expertise focused examining niche markets, targeting major driving factors, spotting threatening hindrances. Complementarily, seamless collaboration major industry aficionado offers research edge. us: Mr. Abhishek Paliwal Research Dive 30 Wall St. 8th Floor, New York NY 10005 P 91 788 8029103 India 1 917 4441262 US Toll Free: 18889614454 Email: support LinkedIn: Twitter: Facebook: Blog: Follow us: Research DiveOctober 29, 2020 Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share Email Print Research Dive Related Articles Top Scenario: North America Mechanical Ventilator Market 2020 Witness Excellent LongTerm Growth Outlook Report Research Dive October 27, 2020 Trending: Generate Huge profit COVID19 Connected Motorcycle Market October 29, 2020 Boom: Future Business Scope Global Pipeline Security Market October 27, 2020 Trending News: 3D Cell Culture Market Expected Witness Rapid Expansion End 2027 October 28, 2020 Industry Verticals: Deep COVID19 Impact analysis report Artificial Intelligence Agriculture Market October 28, 2020 Informative: What Future Global VHF Station Air Ground Communication Market October 29, 2020 Recent Posts October 29, 2020 Profit Opportunity: What Expect EV Charging Cable Market 2020? October 29, 2020 Upsurge: Future Business Scope COVID19 Impact analysis Global Ship Bridge Simulator Market October 29, 2020 Informative: What Future Global EV Charging Infrastructure Market October 29, 2020 Trending: Generate Huge profit COVID19 Connected Motorcycle Market October 29, 2020 Escalation: Future Growth, Challenges, Solutions, Share, Size, Top Players Active Seat Belt System Market October 29, 2020 Upgrade: Future Demand COVID19 Impact analysis Data Center Power Market October 29, 2020 Pre Post COVID19 impact overview Global Mobile Device Management Market October 29, 2020 Trending: Generate Huge profit COVID19 Lease Management Market October 29, 2020 Upturn: Impact COVID19 Video Streaming Software Market October 29, 2020 Investment: Future Global Security Testing Market Facebook Twitter WhatsApp Telegram Back button Close for: Close Close Log In Forget? Remember Log In | 2,020 | [
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https://www.forbes.com/sites/oracle/2020/05/21/ellison-institute-uses-ai-to-accelerate-cancer-diagnosis-and-treatment/ | 2020-05-21T00:00:00 | en | Oracle BrandVoice: Ellison Institute Uses AI To Accelerate Cancer Diagnosis And Treatment | Oracle BrandVoice: Ellison Institute Uses AI To Accelerate Cancer Diagnosis And TreatmentSign in to your Forbes account orregisterPlease help us continue to provide you with free, quality journalism by turning off your ad blocker on our site.For instructions on how to disable your ad blocker, click here.I’ve Turned Off My Ad BlockerOr Sign In To Continue Using An Ad BlockerThank you for signing in.If this is your first time registering, please check your inbox for more information about the benefits of your Forbes account and what you can do next!I agree to receive occasional updates and announcements about Forbes products and services. You may opt out at any time.I'd like to receive the Forbes Daily Dozen newsletter to get the top 12 headlines every morning.Forbes takes privacy seriously and is committed to transparency. We will never share your email address with third parties without your permission. By signing in, you are indicating that you accept our Terms of Service and Privacy Statement.BillionairesAll BillionairesWorld's BillionairesForbes 400America's Richest Self-Made WomenChina's RichestIndia's RichestIndonesia's RichestKorea's RichestThailand's RichestJapan's RichestAustralia's RichestTaiwan's RichestSingapore's RichestPhilippines' RichestHong Kong's RichestMalaysia's RichestMoney & Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCIO NetworkCloudCloud 100Consumer TechCybersecurityEnterprise TechEverbridge BrandVoice | Paid ProgramGamesGreen TechHealthcareIBM Security BrandVoice | Paid ProgramJumio BrandVoice | Paid ProgramOracle BrandVoice | Paid ProgramSAP BrandVoice | Paid ProgramScienceServiceNow BrandVoice | Paid ProgramSocial MediaT-Mobile For Business BrandVoice | Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCMO NetworkDeloitte BrandVoice | Paid ProgramDiversity & InclusionEducationForbesWomenGoogle Cloud BrandVoice | Paid ProgramLeadership StrategyUnder 30Working RemoteMoneyAll MoneyBanking & InsuranceCrypto & BlockchainETFs & Mutual FundsFintechHedge Funds & Private EquityInvestingMarketsPersonal FinancePremium Investing NewslettersRetirementTaxesWealth ManagementBusinessAll BusinessAerospace & DefenseEnergyFood & DrinkHollywood & EntertainmentManufacturingMediaMitsubishi Heavy Industries BrandVoice | Paid ProgramPolicyReal EstateRetailSportsMoneyTransportationSmall BusinessAll Small BusinessEntrepreneursFranchisesSmall Business StrategyLifestyleAll LifestyleAmway BrandVoice | Paid ProgramArtsBoats & PlanesCars & BikesDiningForbesLifeForbes Travel GuideSpiritsStyle & BeautyTravelVicesWatchesListsAll ListsAdvisorAll AdvisorThe Best Credit Cards Of 2020Best Personal LoansBest Savings AccountsBest Balance Transfer Credit CardsBest Student LoansBest Checking AccountsBest 0% APR Credit CardsAuto Loan CalculatorBest CD RatesBest Cash Back Credit CardsPersonal Loan CalculatorYour Money & CoronavirusBest Rewards Credit CardsBest Car Insurance RatesStimulus Check CalculatorBest Business Credit CardsBest Travel Insurance CompaniesAdvisor NowBrowse All Credit CardsBest Life Insurance RatesFeatured30 Under 30 2020AARP BrandVoice | Paid ProgramAthene BrandVoice | Paid ProgramDNA Of SuccessForbes AI: IBM Forbes Insights | Paid ProgramForbes Analytics Plus With Teradata | Paid ProgramForbes Small Giants: 25 Companies That Believe Smaller Is BetterMoney 2020ServiceNow BrandVoice | Paid ProgramVoices Of SuccessBreakingAll BreakingCoronavirusMoreForbes Daily Cover StoriesForbes Editors' PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue of ForbesSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints & Permissions© 2020 Forbes Media LLC. All Rights ReservedBETAThis is a BETA experience. You may opt-out by clicking hereEdit StoryMay 21, 2020,10:59am EDTEllison Institute Uses AI To Accelerate Cancer Diagnosis And TreatmentMargaret LindquistBrand ContributorOracleBRANDVOICEStorytelling and expertise from marketers| Paid ProgramInnovationShare to FacebookShare to TwitterShare to LinkedinNearly 150 years after the introduction of modern tissue staining to detect cancer, doctors are still diagnosing the disease much the way they did then. They still look at each biopsy sample under a microscope and hone in on suspicious areas, although new technologies are now allowing them to identify the molecular markers, like DNA mutations, that indicate whether a patient would respond best to one therapy or another.
But that diagnostic odyssey is beginning to change, thanks in part to groundbreaking research conducted at the Lawrence J. Ellison Institute for Transformative Medicine of USC. There, the introduction of artificial intelligence into cancer research and treatment has the potential to revolutionize both oncology fields, just as AI is doing in transportation (self-driving cars and self-flying planes), education (chatbot advisers), finance (predictive investment models), and a range of other sectors.
A wet lab at the Lawrence J. Ellison Institute for Transformative Medicine of USC.
Oracle
“I asked a pathologist, ‘If there’s one thing a computer could do for you, what would it be?’ He said, ‘I want it to tell me where to look,’” says Dr. Dan Ruderman, director of analytics and machine learning at the institute and assistant professor of research medicine at the Keck School of Medicine at the University of Southern California. “Digital pathology is how the medical field is going to catch up with Silicon Valley. Computers are showing us that they can see things we can’t, so we’re taking these techniques that have been perfected for other domains and transferring all that knowledge over to pathology.”
The institute is scanning slides that show slices of biopsies and analyzing that visual data with AI algorithms trained to recognize areas of concern. After enough training, the algorithm will be able to not only recognize cancer, but even recommend a course of treatment. The use of deep learning and neural networks will make sophisticated diagnoses available even in developing countries, where there may be only one doctor in a region who has experience with diagnosing cancer.
“There’s a basic diagnostic slide that is taken for every patient—but not every place has someone who can read the slide and determine the subtype of cancer and be able to recommend a specific course of drugs,” Dr. Ruderman says. “If the AI can handle that, it will not only save these hospitals money, but it should also result in better patient care.”
Unique Combination
The Ellison Institute is unique among research facilities, Dr. Ruderman notes, because it combines an established research group with an established clinical group, both focused on discovering new ways to diagnose and treat cancer.
Facilitated through the Oracle for Research program, the Ellison Institute’s extended research team also includes Oracle computing experts and technology resources.
Oracle
The Ellison Institute is building a new, wireless 5G-enabled building in West Los Angeles that will be home to a community outreach team, a health policy think tank, educational sessions—even an art gallery. Most importantly, the new facility is designed to bring together researchers and patients, making it possible to follow a patient’s progress from diagnosis through outcome.
“The notion of bringing patients and researchers together is really novel,” Dr. Ruderman says. “Patients are able to tour the research labs and talk to researchers about what they're doing. Researchers will be better able to understand what patients are going through.”
Facilitated through the Oracle for Research program, the Ellison Institute’s extended research team also includes Oracle computing experts and technology resources, enabling Dr. Ruderman and other scientists to conduct computational experiments alongside their laboratory research.
“Oracle for Research was developed to enable researchers to use the power of cloud computing to solve some of the world’s hardest problems,” says Oracle for Research vice president Alison Derbenwick Miller. “We provide access to Oracle Cloud and to technical advisors who collaborate with researchers. At the Ellison Institute, this further expands the patient-doctor-researcher team and broadens the approach to improving patient diagnosis and treatment.”
Intense Workloads Are Just the Beginning
The 3D imaging at the center of the pathology research is computationally intense and requires massive amounts of storage. For example, the data for just 1,000 patients, with 100 images per patient at 10 gigabytes per image, requires 1 petabyte—or a million gigabytes—of storage. Patient data comes not only from the patients at the clinic, but also from public sources such as The Cancer Genome Atlas and the Australian Breast Cancer Tissue Bank.
To handle its intensive, scalable computing needs, the institute is using Oracle Autonomous Database, Oracle Cloud Infrastructure bare metal compute instances, and Oracle Cloud storage, as well as Oracle Cloud Infrastructure FastConnect for network connectivity.
“We've been building neural networks using Oracle Cloud, and now that we are working in three dimensions, we have much, much more data,” Dr. Ruderman says. “It's going to be taxing the system a lot more and requiring a lot more computation.”
We want to answer a very basic question—whether we can learn a lot more about a patient by looking at this added dimension in pathology.
Dr. Dan Ruderman, director of analytics and machine learning at the institute
“Using Oracle’s autonomous capabilities eliminates much of the manual IT labor that’s required for standard databases,” says Muhammad Suhail, Oracle Cloud Infrastructure principal product manager. “Dr. Ruderman’s team was using four CPUs, and they wanted to go to eight,” Suhail says. “All we did was tell them where to find the button. They clicked it, and now the data warehouse is running with eight CPUs without needing any downtime.”
Dr. Ruderman says the institute stopped worrying about scaling issues once it started using Oracle Autonomous Database. “Now I can think more about science and less about technology,” he says.
And there is more to come. The most revolutionary aspect of the institute’s work is still on the horizon: using AI not just for diagnosis, but also for experimentation—whereby, in effect, scientists are running experiments within the computer. For example, Ruderman says that the plan is to use artificial intelligence to interpret complex 3D patterns and determine whether those images provide more information than can be derived from 2D views. “We want to answer a very basic question—whether we can learn a lot more about a patient by looking at this added dimension in pathology,” says Dr. Ruderman.
Dr. Ruderman is particularly excited about applying the institute’s research to better the lives of clinic patients. “We want to understand everything about the patient pipeline. Rather than focusing on just the piece that we think is important, we focus on all the pieces,” he says. “It gives us perspective on the patient's journey and how we can improve it. I hope that everybody on my team would be able to answer this question: ‘How does your work impact a patient's care?’”
This unique vision of the future of patient care and research is a crucial benefit that Derbenwick Miller emphasizes. “We want to bring together patients, clinicians, researchers, and cloud computing into a single setting. The Ellison Institute’s approach seeks to rapidly advance and improve the diagnosis and treatment of cancer, and this should ultimately result in a better quality of life and prognosis for patients,” says Derbenwick Miller.Margaret LindquistMargaret Lindquist is senior director of content for Oracle brand marketing.PrintSite FeedbackTipsCorrectionsReprints & PermissionsTermsPrivacy© 2020 Forbes Media LLC. All Rights Reserved.AdChoices | Oracle BrandVoice: Ellison Institute Uses AI To Accelerate Cancer Diagnosis And Treatment | Oracle BrandVoice: Ellison Institute Uses AI To Accelerate Cancer Diagnosis And TreatmentSign Forbes accountorregisterPlease help continue provide free, quality journalism turning ad blocker site.For instructions disable ad blocker,click here.Ive Turned Off My Ad BlockerOr To Continue Using An Ad BlockerThank signing in.If time registering, check inbox information benefits Forbes account nextI agree receive occasional updates announcements Forbes products services. You opt time.Id like receive Forbes Daily Dozen newsletter 12 headlines morning.Forbes takes privacy seriously committed transparency. We share email address parties permission. 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BETAThis BETA experience. You optout byclicking hereEdit StoryMay 21, 2020,10:59am EDTEllison Institute Uses AI To Accelerate Cancer Diagnosis And TreatmentMargaret LindquistBrand ContributorOracleBRANDVOICEStorytelling expertise marketers Paid ProgramInnovationShare FacebookShare TwitterShare LinkedinNearly 150 years introduction modern tissue staining detect cancer, doctors diagnosing disease way then. They look biopsy sample microscope hone suspicious areas, new technologies allowing identify molecular markers, like DNA mutations, indicate patient respond best therapy another. But diagnostic odyssey beginning change, thanks groundbreaking research conducted Lawrence J. Ellison Institute Transformative Medicine USC. There, introduction artificial intelligence cancer research treatment potential revolutionize oncology fields, AI transportation selfdriving cars selfflying planes, education chatbot advisers, finance predictive investment models, range sectors. A wet lab Lawrence J. Ellison Institute Transformative Medicine USC. Oracle I asked pathologist, If theres thing you, be? He said, I want tell look, says Dr. Dan Ruderman, director analytics machine learning institute assistant professor research medicine Keck School Medicine University Southern California. Digital pathology medical field going catch Silicon Valley. Computers showing things cant, taking techniques perfected domains transferring knowledge pathology. The institute scanning slides slices biopsies analyzing visual data AI algorithms trained recognize areas concern. After training, algorithm able recognize cancer, recommend course treatment. The use deep learning neural networks sophisticated diagnoses available developing countries, doctor region experience diagnosing cancer. Theres basic diagnostic slide taken patientbut place read slide determine subtype cancer able recommend specific course drugs, Dr. Ruderman says. If AI handle that, save hospitals money, result better patient care. Unique Combination The Ellison Institute unique research facilities, Dr. Ruderman notes, combines established research group established clinical group, focused discovering new ways diagnose treat cancer. Facilitated Oracle Research program, Ellison Institutes extended research team includes Oracle computing experts technology resources. Oracle The Ellison Institute building new, wireless 5Genabled building West Los Angeles home community outreach team, health policy think tank, educational sessionseven art gallery. Most importantly, new facility designed bring researchers patients, making possible follow patients progress diagnosis outcome. The notion bringing patients researchers novel, Dr. Ruderman says. Patients able tour research labs talk researchers theyre doing. Researchers better able understand patients going through. Facilitated Oracle Research program, Ellison Institutes extended research team includes Oracle computing experts technology resources, enabling Dr. Ruderman scientists conduct computational experiments alongside laboratory research. Oracle Research developed enable researchers use power cloud computing solve worlds hardest problems, says Oracle Research vice president Alison Derbenwick Miller. We provide access Oracle Cloud technical advisors collaborate researchers. At Ellison Institute, expands patientdoctorresearcher team broadens approach improving patient diagnosis treatment. Intense Workloads Are Just Beginning The 3D imaging center pathology research computationally intense requires massive amounts storage. For example, data 1,000 patients, 100 images patient 10 gigabytes image, requires 1 petabyteor million gigabytesof storage. Patient data comes patients clinic, public sources The Cancer Genome Atlas Australian Breast Cancer Tissue Bank. To handle intensive, scalable computing needs, institute Oracle Autonomous Database, Oracle Cloud Infrastructure bare metal compute instances, Oracle Cloud storage, Oracle Cloud Infrastructure FastConnect network connectivity. Weve building neural networks Oracle Cloud, working dimensions, much, data, Dr. Ruderman says. Its going taxing lot requiring lot computation. We want answer basic questionwhether learn lot patient looking added dimension pathology. Dr. Dan Ruderman, director analytics machine learning institute Using Oracles autonomous capabilities eliminates manual IT labor thats required standard databases, says Muhammad Suhail, Oracle Cloud Infrastructure principal product manager. Dr. Rudermans team CPUs, wanted eight, Suhail says. All tell button. They clicked it, data warehouse running CPUs needing downtime. Dr. Ruderman says institute stopped worrying scaling issues started Oracle Autonomous Database. Now I think science technology, says. And come. The revolutionary aspect institutes work horizon: AI diagnosis, experimentationwhereby, effect, scientists running experiments computer. For example, Ruderman says plan use artificial intelligence interpret complex 3D patterns determine images provide information derived 2D views. We want answer basic questionwhether learn lot patient looking added dimension pathology, says Dr. Ruderman. Dr. Ruderman particularly excited applying institutes research better lives clinic patients. We want understand patient pipeline. Rather focusing piece think important, focus pieces, says. It gives perspective patients journey improve it. I hope everybody team able answer question: How work impact patients care? This unique vision future patient care research crucial benefit Derbenwick Miller emphasizes. We want bring patients, clinicians, researchers, cloud computing single setting. The Ellison Institutes approach seeks rapidly advance improve diagnosis treatment cancer, ultimately result better quality life prognosis patients, says Derbenwick Miller.Margaret LindquistMargaret Lindquist senior director content Oracle brand marketing.PrintSite FeedbackTipsCorrectionsReprints PermissionsTermsPrivacy 2020 Forbes Media LLC. .AdChoices | 2,020 | [
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] | 1 | NEGATIVE | 272 |
https://germanyenglishnews.com/german-news/2020/07/22/artificial-intelligence-ai-in-cybersecurity-market-volume-revenue-cagr-swot-study-and-pestel-analysis-forecast-2020-2029/ | 2020-07-22T00:00:00 | en | Artificial Intelligence (AI) in Cybersecurity Market Volume, Revenue, CAGR, SWOT Study and PESTEL Analysis Forecast 2020-2029 – German Market Reports |
Artificial Intelligence (AI) in Cybersecurity Market Volume, Revenue, CAGR, SWOT Study and PESTEL Analysis Forecast 2020-2029 – German Market Reports
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You are hereHomeGerman News2020July22Artificial Intelligence (AI) in Cybersecurity Market Volume, Revenue, CAGR, SWOT Study and PESTEL Analysis Forecast 2020-2029
Artificial Intelligence (AI) in Cybersecurity Market Volume, Revenue, CAGR, SWOT Study and PESTEL Analysis Forecast 2020-2029
July 22, 2020 Frank
The global report of Artificial Intelligence (AI) in Cybersecurity market highlights the key issue of current economic affairs and offers an outline of the worldwide market. The Artificial Intelligence (AI) in Cybersecurity research report contains a careful analysis of a small and political economy issue that square measure touching the expansion of the industry. The Artificial Intelligence (AI) in Cybersecurity market has cardinal frameworks that embrace industrial outlook, current methods, institution, size, revenue, and latest trends of Artificial Intelligence (AI) in Cybersecurity market from 2017-2026.
The Artificial Intelligence (AI) in Cybersecurity research report examines and guides all issue that affects the event of Artificial Intelligence (AI) in Cybersecurity market. The Artificial Intelligence (AI) in Cybersecurity report conjointly has a detail analysis of great growth and concentrates on this scenario for the institution of the Artificial Intelligence (AI) in Cybersecurity report. For the client, it’ll provide detail regarding purchaser analysis, competitive outlook, current Artificial Intelligence (AI) in Cybersecurity market trends, and future situation.
Access to have a free PDF sample report: https://marketresearch.biz/report/artificial-intelligence-ai-in-cybersecurity-market/request-sample
(***Our FREE SAMPLE COPY of the report gives a brief introduction to the research report outlook, TOC, list of tables and figures, an outlook to key players of the market and comprising key regions.***)
The Artificial Intelligence (AI) in Cybersecurity report conjointly offers an outline of producing knowledge that includes: size, revenue(US$), statistics, development, price, and value. The analysis for Artificial Intelligence (AI) in Cybersecurity report analyzes current and future prospects to understand the steadiness of Artificial Intelligence (AI) in Cybersecurity during a market. the worldwide Artificial Intelligence (AI) in Cybersecurity market has a comprehensive prospect that covers the assorted facet of Artificial Intelligence (AI) in Cybersecurity market. The Artificial Intelligence (AI) in Cybersecurity report is organized by the existing fantastic and current market scenario.
Various tools like practicability that helps to investigate the Artificial Intelligence (AI) in Cybersecurity market and attract to review overall image for up in step with the industrial condition. The report customizes international Artificial Intelligence (AI) in Cybersecurity market by value updates, revenue and market hypothesis from (2017-2026). It conjointly offers data regarding the practicability of the merchandise within the industrial report relates to their development value, price, supply-demand worth, and description of the worldwide market in terms of revenue.
We Provide COVID 19 Impact Analysis On Artificial Intelligence (AI) in Cybersecurity Market, To Get The Details Click On the Link: https://marketresearch.biz/report/artificial-intelligence-ai-in-cybersecurity-market/covid-19-impact
***NOTE: Our Team of Industry Researchers are Studying Covid19 and its Impact on Artificial Intelligence (AI) in Cybersecurity Market Growth and wherever necessary we will be considering Covid19 Footmark for Better Analysis of Market and Industries. Congenially get in Touch for More Details Information.
Key Players Includes: IBM Corporation, Darktrace, Cylance Inc, Sift Science, Micron Technology, Acalvio Technologies, NVIDIA Corporation, Samsung Electronics Co, Vectra AI, Ltd, Xilinx Inc, ThreatMetrix Inc, SparkCognition Inc., Inc, Amazon Web Services, Intel Corporation, Securonix Inc, Inc and Inc.
Market Segmentation:
By Offering: Hardware, Software, Service. By Deployment Type: Cloud, On-Premise. By Security Type: Network Security, Endpoint Security, Application Security, Cloud Security. By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing. By Application: Identity & Access Management, Risk & Compliance Management, Data Loss Prevention, Unified Threat Management, Security & Vulnerability Management, Antivirus/Antimalware, Fraud Detection/Anti-Fraud, Intrusion Detection/Prevention System, Threat Intelligence, Others (firewall, disaster recovery, DDoS mitigation, web filtering, application whitelisting, and patch management). By End-user: BFSI, Retail, Government & Defense, Manufacturing, Infrastructure, Enterprise, Healthcare, Automotive & Transportation, Others (oil & gas, education, energy)
The factual behind this report defines the standardization, significant growth, industrial landscape, availability, and Artificial Intelligence (AI) in Cybersecurity market future. It helps to examine the standing and prediction market earning, price, value, revenue forecast, and also flexibility and stability in the future for the market.
Key Reasons to shop for the report:
1 To induce a discriminating survey of Artificial Intelligence (AI) in Cybersecurity and have a big that means of the worldwide Artificial Intelligence (AI) in Cybersecurity market and its comprehensive landscape
2 To grasp the foremost huge drives and restraint forces in Artificial Intelligence (AI) in Cybersecurity and its collision within the international market
3 To possess a summary of market methods that are being applied by leading individual industries
4 To possess a comprehensive outlook and prospects for Artificial Intelligence (AI) in Cybersecurity
5 To have the vital information of the Artificial Intelligence (AI) in Cybersecurity market and their production.
6 To grasp the Artificial Intelligence (AI) in Cybersecurity market earning, revenue, cost value of current and future market
To have an inquiry about the report: https://marketresearch.biz/report/artificial-intelligence-ai-in-cybersecurity-market/#inquiry
Global Artificial Intelligence (AI) in Cybersecurity market in the main highlights:-
1 The key data associated with Artificial Intelligence (AI) in Cybersecurity trade just like the product detail, price, kind of applications, demand, and provide analysis are coated during this report.
2 comprehensive study of the most important Artificial Intelligence (AI) in Cybersecurity can facilitate all the key players in analyzing the present trends and segments.
3 The study of rising Artificial Intelligence (AI) in Cybersecurity segments planes the business methods and proceed in step with the current market trends.
4 Global Artificial Intelligence (AI) in Cybersecurity figures the assembly value and share region wise and their application until 2026.
5 The study for comprehensive landscape and statistics for industrial growth and development
6 To have the systematic footprint of Artificial Intelligence (AI) in Cybersecurity industry and future.
Table of Contents:-
Part 1 Industry Overview
1.1 Artificial Intelligence (AI) in Cybersecurity Industry
1.2 Industry Chain (Upstream, Technology, Cost Structure, Consumer Preference, Downstream)
Part 2 Industry Overall
Part 3 Artificial Intelligence (AI) in Cybersecurity Market by Product
3.1 Products List of Major Companies
3.2 Market Size
3.3 Market Forecast
Part 4 Key Companies List
Part 5 Market Competition
5.1 Companies Competition
5.2 Industry Competition Structure Analysis
Part 6 Artificial Intelligence (AI) in Cybersecurity Market Demand by Segment
6.1 Demand Situation
6.1.1 Industry Application Status
6.1.2 Industry SWOT Analysis
6.2 Major Customer Survey
6.3 Demand Forecast
Part 7 Region Operation
7.1 Regional Market
7.2 Production and Sales by Region
7.3 Regional Forecast
Part 8 Artificial Intelligence (AI) in Cybersecurity Market Investment
8.1 Market Features
8.2 Investment Opportunity
8.3 Investment Calculation
Part 9 Conclusion
Part 10 Appendix
Click to View Figures, TOC, and Companies Mentioned in the Artificial Intelligence (AI) in Cybersecurity Market Report at:https://marketresearch.biz/report/artificial-intelligence-ai-in-cybersecurity-market/#toc
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| Artificial Intelligence (AI) in Cybersecurity Market Volume, Revenue, CAGR, SWOT Study and PESTEL Analysis Forecast 2020-2029 | Artificial Intelligence AI Cybersecurity Market Volume, Revenue, CAGR, SWOT Study PESTEL Analysis Forecast 20202029 German Market Reports Skip content Wednesday, July 22, 2020 Home Us Our Journalists German Market Reports Space, Satellite Market Reports Market Report Analysis Forecast Business Report COVID19 Impact Market Outlook Market Price Us You hereHomeGerman News2020July22Artificial Intelligence AI Cybersecurity Market Volume, Revenue, CAGR, SWOT Study PESTEL Analysis Forecast 20202029 Artificial Intelligence AI Cybersecurity Market Volume, Revenue, CAGR, SWOT Study PESTEL Analysis Forecast 20202029 July 22, 2020 Frank The global report Artificial Intelligence AI Cybersecurity market highlights key issue current economic affairs offers outline worldwide market. The Artificial Intelligence AI Cybersecurity research report contains careful analysis small political economy issue square measure touching expansion industry. The Artificial Intelligence AI Cybersecurity market cardinal frameworks embrace industrial outlook, current methods, institution, size, revenue, latest trends Artificial Intelligence AI Cybersecurity market 20172026. The Artificial Intelligence AI Cybersecurity research report examines guides issue affects event Artificial Intelligence AI Cybersecurity market. The Artificial Intelligence AI Cybersecurity report conjointly analysis great growth concentrates scenario institution Artificial Intelligence AI Cybersecurity report. For client, itll provide purchaser analysis, competitive outlook, current Artificial Intelligence AI Cybersecurity market trends, future situation. Access free PDF sample report: Our FREE SAMPLE COPY report gives brief introduction research report outlook, TOC, list tables figures, outlook key players market comprising key regions. The Artificial Intelligence AI Cybersecurity report conjointly offers outline producing knowledge includes: size, revenueUS, statistics, development, price, value. The analysis Artificial Intelligence AI Cybersecurity report analyzes current future prospects understand steadiness Artificial Intelligence AI Cybersecurity market. worldwide Artificial Intelligence AI Cybersecurity market comprehensive prospect covers assorted facet Artificial Intelligence AI Cybersecurity market. The Artificial Intelligence AI Cybersecurity report organized existing fantastic current market scenario. Various tools like practicability helps investigate Artificial Intelligence AI Cybersecurity market attract review overall image step industrial condition. The report customizes international Artificial Intelligence AI Cybersecurity market value updates, revenue market hypothesis 20172026. It conjointly offers data practicability merchandise industrial report relates development value, price, supplydemand worth, description worldwide market terms revenue. We Provide COVID 19 Impact Analysis On Artificial Intelligence AI Cybersecurity Market, To Get The Details Click On Link: NOTE: Our Team Industry Researchers Studying Covid19 Impact Artificial Intelligence AI Cybersecurity Market Growth necessary considering Covid19 Footmark Better Analysis Market Industries. Congenially Touch More Details Information. Key Players ludes: IBM Corporation, Darktrace, Cylance , Sift Science, Micron Technology, Acalvio Technologies, NVIDIA Corporation, Samsung Electronics Co, Vectra AI, Ltd, Xilinx , ThreatMetrix , SparkCognition ., , Amazon Web Services, Intel Corporation, Securonix , . Market Segmentation: By Offering: Hardware, Software, Service. By Deployment Type: Cloud, OnPremise. By Security Type: Network Security, Endpoint Security, Application Security, Cloud Security. By Technology: Machine Learning, Natural Language Processing, ContextAware Computing. By Application: Identity Access Management, Risk Compliance Management, Data Loss Prevention, Unified Threat Management, Security Vulnerability Management, AntivirusAntimalware, Fraud DetectionAntiFraud, Intrusion DetectionPrevention System, Threat Intelligence, Others firewall, disaster recovery, DDoS mitigation, web filtering, application whitelisting, patch management. By Enduser: BFSI, Retail, Government Defense, Manufacturing, Infrastructure, Enterprise, Healthcare, Automotive Transportation, Others oil gas, education, energy The factual report defines standardization, significant growth, industrial landscape, availability, Artificial Intelligence AI Cybersecurity market future. It helps examine standing prediction market earning, price, value, revenue forecast, flexibility stability future market. Key Reasons shop report: 1 To induce discriminating survey Artificial Intelligence AI Cybersecurity big means worldwide Artificial Intelligence AI Cybersecurity market comprehensive landscape 2 To grasp foremost huge drives restraint forces Artificial Intelligence AI Cybersecurity collision international market 3 To possess summary market methods applied leading individual industries 4 To possess comprehensive outlook prospects Artificial Intelligence AI Cybersecurity 5 To vital information Artificial Intelligence AI Cybersecurity market production. 6 To grasp Artificial Intelligence AI Cybersecurity market earning, revenue, cost value current future market To inquiry report: Global Artificial Intelligence AI Cybersecurity market main highlights: 1 The key data associated Artificial Intelligence AI Cybersecurity trade like product detail, price, kind applications, demand, provide analysis coated report. 2 comprehensive study important Artificial Intelligence AI Cybersecurity facilitate key players analyzing present trends segments. 3 The study rising Artificial Intelligence AI Cybersecurity segments planes business methods proceed step current market trends. 4 Global Artificial Intelligence AI Cybersecurity figures assembly value share region wise application 2026. 5 The study comprehensive landscape statistics industrial growth development 6 To systematic footprint Artificial Intelligence AI Cybersecurity industry future. Table Contents: Part 1 Industry Overview 1.1 Artificial Intelligence AI Cybersecurity Industry 1.2 Industry Chain Upstream, Technology, Cost Structure, Consumer Preference, Downstream Part 2 Industry Overall Part 3 Artificial Intelligence AI Cybersecurity Market Product 3.1 Products List Major Companies 3.2 Market Size 3.3 Market Forecast Part 4 Key Companies List Part 5 Market Competition 5.1 Companies Competition 5.2 Industry Competition Structure Analysis Part 6 Artificial Intelligence AI Cybersecurity Market Demand Segment 6.1 Demand Situation 6.1.1 Industry Application Status 6.1.2 Industry SWOT Analysis 6.2 Major Customer Survey 6.3 Demand Forecast Part 7 Region Operation 7.1 Regional Market 7.2 Production Sales Region 7.3 Regional Forecast Part 8 Artificial Intelligence AI Cybersecurity Market Investment 8.1 Market Features 8.2 Investment Opportunity 8.3 Investment Calculation Part 9 Conclusion Part 10 Appendix Click View Figures, TOC, Companies Mentioned Artificial Intelligence AI Cybersecurity Market Report at: Us: Mr. Benni Johnson Prudour Pvt. Ltd. 420 Lexington Avenue, Suite 300 New York City, NY 10170, United States Tel: 13478261876 Email ID: [emailprotected] Website: Author Recent Posts Frank Latest posts Frank Skin Toner Market PESTEL Analysis, Volume, Revenue, CAGR SWOT Study Forecast 20202029 July 22, 2020 Fire Safety Equipment Market SWOT Study, PESTEL Analysis, Revenue, CAGR Volume Forecast 20202029 July 22, 2020 Artificial Intelligence AI Cybersecurity Market Volume, Revenue, CAGR, SWOT Study PESTEL Analysis Forecast 20202029 July 22, 2020 Post navigation Animation Market Volume, CAGR, SWOT Study, PESTEL Analysis Revenue Forecast 20202029Fire Safety Equipment Market SWOT Study, PESTEL Analysis, Revenue, CAGR Volume Forecast 20202029 Related posts Skin Toner Market PESTEL Analysis, Volume, Revenue, CAGR SWOT Study Forecast 20202029 July 22, 2020 Frank The global report Skin Toner market highlights key issue current economic affairs and... 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https://dailyscience.me/2020/04/21/global-artificial-intelligence-ai-in-security-market-2020-analysis-on-key-regions-types-and-application-with-2025-forecasts/ | 2020-04-21T00:00:00 | en | Global Artificial Intelligence (AI) in Security Market 2020 Analysis on Key Regions, Types and Application with 2025 Forecasts – Daily Science |
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Global Artificial Intelligence (AI) in Security Market 2020 Analysis on Key Regions, Types and Application with 2025 Forecasts
April 21, 2020
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“The research repot of Artificial Intelligence (AI) in Security Market presents the in the depth analysis on the basis of different parameters. The research report on Global Artificial Intelligence (AI) in Security Market includes various segments. The study report presents the market overview as market size, revenue, share, forecast and market drivers. In addition, report offers an in depth analysis about the product scope and market opportunities and market risks for the participants. The report contains various subjects. Reports provides the description about the profile of the top manufacturers of the Global Artificial Intelligence (AI) in Security Market. Also the information about market price, revenue, sales analysis and market Global market share from the base year 2019 to 2025 is provided.
This study covers following key players:
Amazon
Fortinet, Inc.
IBM Corporation
Intel
Google
Palo Alto Networks Inc.
Micron Technology Inc.
Samsung Electronics Co., Ltd.
Nvidia Corporation
Request a sample of this report @ https://www.orbisresearch.com/contacts/request-sample/4595595?utm_source=Ancy
In this report, Market driving forces along with the market risks are presented. The market is segmented on the basis of application and market share & market growth rate by product type. Market breakdown data are shown on the regional and country level to present the sales and revenue of the market in the world. Competitive situation of the vendors is presented and analysed emphatically by landscape contrast. This section is important as it sheds light on the sales growth of various country level and regional level Global Artificial Intelligence (AI) in Security Market. Furthermore, study report provides an analysis for the consumers to break the sales data at the country level across the globe.
In addition, the research report on Global Artificial Intelligence (AI) in Security Market gives the in depth analysis of data source, appendix, research findings, customers, distributors, sales channel and conclusion of the market. Furthermore, reports presents come key drivers which contribute to the growth of the Global Artificial Intelligence (AI) in Security Market. In addition, report provides some key reasons which can hamper the growth of the market during the forecast period. Thus study offers the growth estimation of the market on the basis of calculation by various segmentation and past and current data. This way research report can help the consumers to take the strategic initiatives for their growth in the Artificial Intelligence (AI) in Security industry.
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Market segment by Type, the product can be split into
Platform
Services
Market segment by Application, split into
BFSI
Retail
IT & Telecommunication
Automotive & Transportation
Manufacturing
Government & Defence
Others
Moreover, the study report presents the company profiles of players functioning in the market as well as the new entrants for the competition. Thus the competitive landscape provides the detailed information about the company with total revenue, Global presence, market potential and sales analysis of each player participating in the industry. Thus the report is beneficial for any client to expand the market growth in this industry by studying every segment covered in this research report.
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Some TOC Points:
1 Scope of the Report
2 Executive Summary
3 Global Artificial Intelligence (AI) in Security by Company
4 Artificial Intelligence (AI) in Security by Regions
…Continued
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| Global Artificial Intelligence (AI) in Security Market 2020 Analysis on Key Regions, Types and Application with 2025 Forecasts | Global Artificial Intelligence AI Security Market 2020 Analysis Key Regions, Types Application 2025 Forecasts Daily Science Daily Science Science Market Research Menu Menu Market Reports Science News Industry Analytics Industry Reports Market Outlook Business Opportunity Emerging Trends Growth Prospects Market Study Global Artificial Intelligence AI Security Market 2020 Analysis Key Regions, Types Application 2025 Forecasts April 21, 2020 No Comments The research repot Artificial Intelligence AI Security Market presents depth analysis basis different parameters. The research report Global Artificial Intelligence AI Security Market includes segments. The study report presents market overview market size, revenue, share, forecast market drivers. In addition, report offers depth analysis product scope market opportunities market risks participants. The report contains subjects. Reports provides description profile manufacturers Global Artificial Intelligence AI Security Market. Also information market price, revenue, sales analysis market Global market share base year 2019 2025 provided. This study covers following key players: Amazon Fortinet, . IBM Corporation Intel Google Palo Alto Networks . Micron Technology . Samsung Electronics Co., Ltd. Nvidia Corporation Request sample report @ In report, Market driving forces market risks presented. The market segmented basis application market share market growth rate product type. Market breakdown data shown regional country level present sales revenue market world. Competitive situation vendors presented analysed emphatically landscape contrast. This section important sheds light sales growth country level regional level Global Artificial Intelligence AI Security Market. Furthermore, study report provides analysis consumers break sales data country level globe. 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Thus competitive landscape provides detailed information company total revenue, Global presence, market potential sales analysis player participating industry. Thus report beneficial client expand market growth industry studying segment covered research report. For Enquiry buying report @ Some TOC Points: 1 Scope Report 2 Executive Summary 3 Global Artificial Intelligence AI Security Company 4 Artificial Intelligence AI Security Regions Continued : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Author Recent Posts vaibhav Latest posts vaibhav Global Modern Aged Care Management Services Market Size 2020 Growing Demand, Latest Trends, Future Growth, Business Opportunity, Technological Innovations, Top Players Regional Outlook 2025 April 21, 2020 Global Telemedicine Service Systems Market 2020 grow CAGR Forecast Period 2025 April 21, 2020 Global Data Mapping Software Market 20202025 New Culture Launch, Acquisitions Mergers, Culture Regional Growth, Key Manufacturers, Investments Potential Forecast April 21, 2020 Post navigation Global AR VR Training Market 2020 By Growth Trends, Innovations, Developments, Service Providers, Technology, Major Opportunities, Demand Forecast 2025 The Economic Impact Coronavirus Defatted Soya Flour Market Growth Forecast 20192025 About contact About Disclaimer Our Writers Recent Posts The impact coronavirus Concrete Cutting Walk Behind Saw Market Size, Analytical Overview, Growth Factors, Demand, Trends Forecast 2026 COVID19: Responding business impacts Emergency Notification System Market: Future Forecast Indicates Impressive Growth Rate Wearable Digital WalkieTalkie Market Size, Analysis, Forecast Report 20192025 World coronavirus Dispatch: Promising Opportunities North America Europe Propel Growth Farm Tires Market 2018 2027 Coronavirus business impact: Caravan RV Market Key Development 2025 COVID19: Potential impact Resin Bonded Abrasive Discs Market Regulations Competitive Landscape Outlook 20192025 The impact coronavirus Rubella German Measles Clinical Trials Market Segments, Opportunity, Growth Forecast Enduse Idustry 20192025 How Coronavirus Pandemic Will Impact Research report covers Industrial Spiral Gear Market Forecasts Growth, 20192025 Assessing Fallout From Coronavirus Pandemic Electric Wall Heaters Market Forecasted To Surpass The Value Of US XX MnBn By 2063 2018 2027 How Coronavirus Impacting Wireless Sensor Network Market Size, Statistics, Growth, Revenue, Analysis Trends Industry Forecast Report 20192025 ClOSE SIDEBAR OPEN SIDEBAR Daily Science 2019 Sendy review 2020 | 2,020 | [
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] | 1 | POSITIVE | 274 |
https://wfpk.org/2020/nicolas-godin-talks-architecture-air-and-artificial-intelligence-in-a-year-from-now-we-will-have-albums-by-singers-that-dont-exist/ | 2020-02-21T00:00:00 | en | Nicolas Godin Talks Architecture, Air, and Artificial Intelligence: "In a year from now we will have albums by singers that don't exist." - 91.9 WFPK Independent Louisville |
Nicolas Godin Talks Architecture, Air, and Artificial Intelligence: "In a year from now we will have albums by singers that don't exist." - 91.9 WFPK Independent Louisville
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Nicolas Godin Talks Architecture, Air, and Artificial Intelligence: “In a year from now we will have albums by singers that don’t exist.”
Nicolas Godin Talks Architecture, Air, and Artificial Intelligence: “In a year from now we will have albums by singers that don’t exist.”
By
Kyle Meredith
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In the Studio
February 21, 2020
Nicola Godin of the band Air gives Kyle Meredith a call to discuss his latest solo album, Concrete and Glass, a concept record that has roots in his love for architecture and an installation that he was commissioned to do. Godin speaks about the larger topics in play, especially in the first single The Border, as well as working with Alexis Taylor from Hot Chip. On another cut, Godin uses the voice heard on GPS navigation as the lead, and it’s with that robotic vocal that Nicolas predicts that we’ll have entire AI made music on the charts within a year. The two also explore the current trend of minimalism in pop music, his love for sensuality within his own songs, and finally his thoughts on the 20th anniversary of the Virgin Suicides soundtrack, and his hopes to one day provide music for a sci-fi movie.
Listen to the interview above and then check out the videos below.
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Kyle Meredith @kylemeredith
Kyle is the WFPK Music Director.
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Kyle Meredith @kylemeredith
Kyle is the WFPK Music Director.
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| Nicolas Godin Talks Architecture, Air, and Artificial Intelligence: "In a year from now we will have albums by singers that don't exist." | Nicolas Godin Talks Architecture, Air, Artificial Intelligence: In year albums singers dont exist. 91.9 WFPK Independent Louisville Toggle navigation Blog Blog Top Stories Latest News 502unesAlbum WeekIn StudioLive LunchToday WFPKTracksWaterfront Wednesday Donate Listen live Coming See schedule Top Stories Latest News 502unesAlbum WeekIn StudioLive LunchToday WFPKTracksWaterfront Wednesday Schedule Programs Events Listen Live Calendar Donate Recently played songs Nicolas Godin Talks Architecture, Air, Artificial Intelligence: In year albums singers dont exist. Nicolas Godin Talks Architecture, Air, Artificial Intelligence: In year albums singers dont exist. By Kyle Meredith Photo: Nicolas Godin Blog In Studio February 21, 2020 Nicola Godin band Air gives Kyle Meredith discuss latest solo album, Concrete Glass, concept record roots love architecture installation commissioned do. Godin speaks larger topics play, especially single The Border, working Alexis Taylor Hot Chip. On cut, Godin uses voice heard GPS navigation lead, robotic vocal Nicolas predicts entire AI music charts year. The explore current trend minimalism pop music, love sensuality songs, finally thoughts 20th anniversary Virgin Suicides soundtrack, hopes day provide music scifi movie. Listen interview check videos below. Share Twitter Share Facebook By Kyle Meredith Kyle WFPK Music Director. By Kyle Meredith Kyle WFPK Music Director. Ad 1 Become Sponsor Events Calendar View More Events Ad 2 Become Sponsor Get WFPK news delivered weekly Email Sign About About WFPK Meet Hosts Reports Filings FCC Public File Career Opportunities Contest Policy Interact Email DJ Us Become Member Business Sponsorship Local Music Submissions Instrumental Partners Shop Listen How Stream On Demand Content iPhone App Android App Podcast Help Programs Today WFPK Live Lunch Waterfront Wednesday Program Guide Playlists | 2,020 | [
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http://crypto-daily.news/news/501768/global-suction-catheters-market-2020-size-share-trends-with-major-players-advanced-medical-solutions-group-plc-bard-medical-bd-pennine-healthcare/ | 2020-10-02T00:00:00 | en | Global Suction Catheters Market 2020 Size, Share, Trends With Major Players : ( Advanced Medical Solutions Group plc, Bard Medical, BD, Pennine Healthcare ) – Crypto Daily |
Global Suction Catheters Market 2020 Size, Share, Trends With Major Players : ( Advanced Medical Solutions Group plc, Bard Medical, BD, Pennine Healthcare ) – Crypto Daily
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Global Suction Catheters Market 2020 Size, Share, Trends With Major Players : ( Advanced Medical Solutions Group plc, Bard Medical, BD, Pennine Healthcare )
eon October 2, 2020
According to a new study, added recently to the repository of Eonmarketresearch.com the market for Suction Catheters is witnessing a noticeable surge across the world. The research report, titled “Global Suction Catheters Market 2020 Research Report,” explores the past and current appearance of this market in a bid to earn a clear insight into its future potentials. It also takes the driving forces, challenges, prominent trends, opportunities, and various other factors that influence the growth of this market in consideration to discover the market’s scope in the years to come.
This report is a complete analysis of the Suction Catheters market based on primary and secondary in-depth analysis. The scope of the Suction Catheters market report includes the ‘global’ and ‘regional’ sale, product consumption in terms of ‘volume’, and ‘value’. The Suction Catheters market report provides an estimate of revenue, CAGR, and aggregate revenue. The collected knowledge about Suction Catheters global business is represented in the figures, tables, pie chart, and graphs.
Request Free Sample Report: https://www.eonmarketresearch.com/sample/68607
This report examines the global Suction Catheters market size (value and volume) by manufacturers, key regions/countries, products and applications, history data from 2014 to 2018, and forecast to 2025.
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This report focuses on the top manufacturers in the United States, Europe, China, Japan, South Korea, and Taiwan and additional regions.
The major manufacturers covered in this Suction Catheters market report:
Medline Industries, Bard Medical, BD, Pennine Healthcare, Smiths Medical, B Braun, Merit Medical Systems, Medtronic, QualiMed Innovative Medizinprodukte GmbH, PFM Medical, Lepu Medical, Halyard Health, Reliamed, Dynarex Corporation, Amsino International
On the basis of product, this Suction Catheters market report displays the production, revenue, price, market share, and growth rate of each type, primarily split into:
By Catheter Type
Latex Catheters
Rubber Catheters
By Suction Catheter Type
Open Suction Catheter
Closed Suction Catheter
On the basis of the applications/end users, this Suction Catheters study report concentrates on the status and forecast for major applications/end users, consumption (sales), market share and growth rate for each application, including:
Hospitals
Homecare Settings
Specialty Clinics
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The layout of the exploration report:
• Gives the essential quantifiable data on the current status of Industry is a significant guide and bearing for organizations and individuals related with the market.
• The business headway examples and market directs were inspected in this investigation report.
• It assesses the market size and future advancement capacity of the market transversely over different areas.
• The market is foreseen to be the fastest creating business area during the guess time span from 2020 to 2025.
• Statistical data is given through a couple of frameworks, graphs and structures to appreciate the market in a straightforward way.
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| Global Suction Catheters Market 2020 Size, Share, Trends With Major Players : ( Advanced Medical Solutions Group plc, Bard Medical, BD, Pennine Healthcare ) | Global Suction Catheters Market 2020 Size, Share, Trends With Major Players : Advanced Medical Solutions Group plc, Bard Medical, BD, Pennine Healthcare Crypto Daily Skip content Menu Energy News Space Top stories for: Crypto Daily Menu Energy News Space Top stories for: Flash News COVID19 Impact: Global Infrared LED Market Ready Set Outstanding Growth 2020 Osram Opto Semiconductors, Royal Philips, Epistar, Nichia High Pressure Commercial Toilet Market 2020 Overview Emerging Technologies, Targeted Consumers, Online Marketplace, CAGR Statistics Growth Forecast 2026 Global Electronic Payment Devices Market 20202027 Growth Analysis By Verifone, Taxis, GD, Posdata Group SelfCleaning Cartridge Dust Collector Market Will Reflect Significant Growth Prospects US Mn 20202025 Major Key Player: AB SHOT TECNICS, S.L., Air Quality Engineering, DencoHappel, Diversitech Global Linear Accelerator Sales Market 2020 Application Insights, Product Demand,Wellness Benefits, Consumption Analysis, Top Manufacturers Business Opportunities 2025 Agarose Market 2020 Trends, Growth Insight, Share, Competitive Analysis, Statistics, Regional Global Industry Forecast To 2025 COVID19 Impact: Corrugated Pipe Market Strategic Industry Evolutionary Analysis Focus Leading Key Players Revenue Growth Analysis Forecast To 2025 Cyclohexane Market 2020 Overview Key Players Analysis, Emerging Opportunities, Comprehensive Research Study, Competitive Landscape Potential Industry Forecast 2025 Global Capsule Smart Mini Projectors Market Growth, Key Players, Drivers Restraints, Trends Developments Contrive Datum Insights Xylitol Market 20202025 Consumption, Demand Growth, Production Analysis, Research Statistics, Key Players Detailed Regional Overview Friday, October 02, 2020 News Global Suction Catheters Market 2020 Size, Share, Trends With Major Players : Advanced Medical Solutions Group plc, Bard Medical, BD, Pennine Healthcare eon October 2, 2020 According new study, added recently repository market Suction Catheters witnessing noticeable surge world. The research report, titled Global Suction Catheters Market 2020 Research Report, explores past current appearance market bid earn clear insight future potentials. It takes driving forces, challenges, prominent trends, opportunities, factors influence growth market consideration discover markets scope years come. This report complete analysis Suction Catheters market based primary secondary indepth analysis. The scope Suction Catheters market report includes global regional sale, product consumption terms volume, value. The Suction Catheters market report provides estimate revenue, CAGR, aggregate revenue. The collected knowledge Suction Catheters global business represented figures, tables, pie chart, graphs. Request Free Sample Report: This report examines global Suction Catheters market size value volume manufacturers, key regionscountries, products applications, history data 2014 2018, forecast 2025. Why Choose Us: 247 Research Support Custom Research Service 360 Degree Approach 100 Customer Satisfaction Assured Quality This report focuses manufacturers United States, Europe, China, Japan, South Korea, Taiwan additional regions. The major manufacturers covered Suction Catheters market report: Medline Industries, Bard Medical, BD, Pennine Healthcare, Smiths Medical, B Braun, Merit Medical Systems, Medtronic, QualiMed Innovative Medizinprodukte GmbH, PFM Medical, Lepu Medical, Halyard Health, Reliamed, Dynarex Corporation, Amsino International On basis product, Suction Catheters market report displays production, revenue, price, market share, growth rate type, primarily split into: By Catheter Type Latex Catheters Rubber Catheters By Suction Catheter Type Open Suction Catheter Closed Suction Catheter On basis applicationsend users, Suction Catheters study report concentrates status forecast major applicationsend users, consumption sales, market share growth rate application, including: Hospitals Homecare Settings Specialty Clinics To Purchase This Premium Report Click Here: The layout exploration report: Gives essential quantifiable data current status Industry significant guide bearing organizations individuals related market. The business headway examples market directs inspected investigation report. It assesses market size future advancement capacity market transversely different areas. The market foreseen fastest creating business area guess time span 2020 2025. Statistical data given couple frameworks, graphs structures appreciate market straightforward way. Place An Inquiry Before Buying @ : Eon Market Research EMR market intelligence company, providing global business information reports services. Our exclusive blend quantitative forecasting trends analysis provides forwardlooking insight thousands decisionmakers. Discover More Reports: Us: Eon Market Research Phone: 1 703 879 7090 Email: [emailprotected] Global Suction Catheters Market ShareGlobal Suction Catheters Market SizeGlobal Suction Catheters Market TrendsSuction Catheters Market 2020 Post navigation Trending News: Fine Pitch LED Display Market Overview Forecast Report 20202026 Top players: Leyard, Unilumin, Liantronics, Absen, SANSI, etc. InForGrowthGlobal XRay Test Bed Market 2020 Covid19 Impact Analysis: Growth, Latest Trend Analysis Forecast 2025 for: Recent Posts COVID19 Impact: Global Infrared LED Market Ready Set Outstanding Growth 2020 Osram Opto Semiconductors, Royal Philips, Epistar, Nichia High Pressure Commercial Toilet Market 2020 Overview Emerging Technologies, Targeted Consumers, Online Marketplace, CAGR Statistics Growth Forecast 2026 Global Electronic Payment Devices Market 20202027 Growth Analysis By Verifone, Taxis, GD, Posdata Group SelfCleaning Cartridge Dust Collector Market Will Reflect Significant Growth Prospects US Mn 20202025 Major Key Player: AB SHOT TECNICS, S.L., Air Quality Engineering, DencoHappel, Diversitech Global Linear Accelerator Sales Market 2020 Application Insights, Product Demand,Wellness Benefits, Consumption Analysis, Top Manufacturers Business Opportunities 2025 Archives October 2020 September 2020 August 2020 Categories Energy News Space Top stories Meta Log Entries feed Comments feed Proudly powered WordPress Theme: TimesNews By . 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] | 1 | NEGATIVE | 276 |
https://yourstory.com/2020/10/ravi-shankar-prasad-responsibe-ai-social-empowerment-dunzo | 2020-10-06T00:00:00 | en | Union Minister Ravi Shankar Prasad writes on responsible AI for social empowerment; Inside Dunzo's merchant-fi | Union Minister Ravi Shankar Prasad writes on responsible AI for social empowerment; Inside Dunzo's merchant-fiLOGINYourStoryEducationHerStorySocialStorySMBStoryYourStoryTVMoreCompaniesAdvertise With UsMakers-IndiaAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginDaily CapsuleUnion Minister Ravi Shankar Prasad writes on responsible AI for social empowerment; Inside Dunzo's merchant-first strategyBy Team YS|6th Oct 2020RAISE 2020 is seeking global collaboration for the development of an AI ecosystem committed towards social empowerment. 0 claps+0 Share on0 claps+0 Share onShare onRavi Shankar Prasad on RAISE 2020RAISE 2020 is seeking global collaboration for the development of an AI ecosystem committed towards social empowerment. Inside Dunzo’s merchant-first strategyDunzo is helping kiranas go digital by providing an alternative platform for ecommerce logistics, inventory management, and more. Helping people make better financial decisionsFinoramic’s mobile app Figg analyses the finances and expenses of users and suggests whether they should make investments.Startups on Google deferring in-app purchase levyImage Source: ShutterstockGoogle plans to engage closely with Indian app developers to understand their concerns and find a solution agreeable to all.Paytm First Games to fund gaming studios Photo: YSPaytm wants to promote Indian heritage and folk tales through gaming. It will support and promote developers doing that. Helping women achieve financial independenceNishtha Yogesh, Founder of Hunar Online Hunar Online offers more than 30 skill-based courses and aims to help homemakers in India achieve financial independence. TB survivor helping street children in KolkataArup Sengupta is impacting hundreds of street children in Kolkata with various social initiatives, inspired by Mother Teresa. The story of Rs 165 Cr company Jivo WellnessJivo Wellness is a supplier of canola oil and claims to have an 80 percent market share in the Indian canola oil market. Building a luxury kitchen brands businessSukriti Sharma, Partner, PluschMumbai-based SIS Imports, now called Plusch, brings German luxury modular kitchen, wardrobe, and furniture brands to India.Now get the Daily Capsule in your inbox. Subscribe to our newsletter today!India’s most prolific entrepreneurship conference TechSparks is back! With it comes an opportunity for early-stage startups to scale and succeed. Apply for Tech30 and get a chance to get funding of up to Rs 50 lakh and pitch to top investors live online.Shri Ravi Shankar PrasadPaytm First GamesRAISE20200 Shares+0 Share on0 Shares+0 Share onShare onTrending NowTrending Stories5 Delhi-NCR based foodtech startups that have raised funding amidst pandemicTrisha Medhi‘If you build relationships, business will build itself’ – 25 quotes from Indian startup journeysMadanmohan Rao[Funding alert] Fintech startup Uni raises $18.5M from Lightspeed India Partners and Accel IndiaSindhu Kashyaap[YS Learn] Here’s how founders can master business strategy with five top movesSindhu KashyaapDaily CapsuleUnion Minister Ravi Shankar Prasad writes on responsible AI for social empowerment; Inside Dunzo's merchant-first strategyRead the full storyLatestUpdates from around the worldSnapdeal opens new logistics centres in Jalandhar, LudhianaPress Trust of IndiaFestive season spend may dip by 33 pc this year; property, auto to bear the bruntPress Trust of India5 Delhi-NCR based foodtech startups that have raised funding amidst pandemicTrisha Medhi‘If you build relationships, business will build itself’ – 25 quotes from Indian startup journeysMadanmohan Rao[YS Learn] Here’s how founders can master business strategy with five top movesSindhu Kashyaap[Funding alert] Fintech startup Uni raises $18.5M from Lightspeed India Partners and Accel IndiaSindhu KashyaapDidn't find what you were looking for?Search for what you want, categories, tags, keywords, authors, events, anything under YourStorySEARCHTopicsStartupsApp FridayTechie TuesdaysIn DepthFunding InvestmentsResourcesExpert OpinionAboutAdvertise with usAboutMeet the teamReport an issueSupport CenterContact UsWork with usEvents© 2020 YourStory Media Pvt. Ltd.Privacy Policyv2.2.825Built with ♥ in India | Union Minister Ravi Shankar Prasad writes on responsible AI for social empowerment; Inside Dunzo's merchant-fi | Union Minister Ravi Shankar Prasad writes responsible AI social empowerment; Inside Dunzos merchantfiLOGINYourStoryEducationHerStorySocialStorySMBStoryYourStoryTVMoreCompaniesAdvertise With UsMakersIndiaAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduDaily CapsuleUnion Minister Ravi Shankar Prasad writes responsible AI social empowerment; Inside Dunzos merchantfirst strategyBy Team YS6th Oct 2020RAISE 2020 seeking global collaboration development AI ecosystem committed social empowerment. 0 claps0 Share on0 claps0 Share onShare onRavi Shankar Prasad RAISE 2020RAISE 2020 seeking global collaboration development AI ecosystem committed social empowerment.Inside Dunzos merchantfirst strategyDunzo helping kiranas digital providing alternative platform ecommerce logistics, inventory management, more.Helping people better financial decisionsFinoramics mobile app Figg analyses finances expenses users suggests investments.StartupsonGoogle deferringinapp purchase levyImage Source: ShutterstockGoogle plans engage closely Indian app developers understand concerns solution agreeable all.Paytm First Games fund gaming studiosPhoto: YSPaytm wants promote Indian heritage folk tales gaming. It support promote developers that.Helping women achieve financial independenceNishtha Yogesh, Founder Hunar Online Hunar Online offers 30 skillbased courses aims help homemakers India achieve financial independence.TB survivor helping street children KolkataArup Sengupta impacting hundreds street children Kolkata social initiatives, inspired Mother Teresa.The story Rs 165 Cr company Jivo WellnessJivo Wellness supplier canola oil claims 80 percent market share Indian canola oil market.Building luxury kitchen brands businessSukriti Sharma, Partner, PluschMumbaibased SIS Imports, called Plusch, brings German luxury modular kitchen, wardrobe, furniture brands India.Now Daily Capsule inbox. newsletter todayIndias prolific entrepreneurship conference TechSparks With comes opportunity earlystage startups scale succeed. Apply Tech30 chance funding Rs 50 lakh pitch investors live online.Shri Ravi Shankar PrasadPaytm First GamesRAISE20200 Shares0 Share on0 Shares0 Share onShare onTrending NowTrending Stories5 DelhiNCR based foodtech startups raised funding amidst pandemicTrisha MedhiIf build relationships, business build 25 quotes Indian startup journeysMadanmohan Rao[Funding alert] Fintech startup Uni raises 18.5M Lightspeed India Partners Accel IndiaSindhu Kashyaap[YS Learn] Heres founders master business strategy movesSindhu KashyaapDaily CapsuleUnion Minister Ravi Shankar Prasad writes responsible AI social empowerment; Inside Dunzos merchantfirst strategyRead storyLatestUpdates worldSnapdeal opens new logistics centres Jalandhar, LudhianaPress Trust IndiaFestive season spend dip 33 pc year; property, auto bear bruntPress Trust India5 DelhiNCR based foodtech startups raised funding amidst pandemicTrisha MedhiIf build relationships, business build 25 quotes Indian startup journeysMadanmohan Rao[YS Learn] Heres founders master business strategy movesSindhu Kashyaap[Funding alert] Fintech startup Uni raises 18.5M Lightspeed India Partners Accel IndiaSindhu KashyaapDidnt looking for? want, categories, tags, keywords, authors, events, YourStorySEARCHTopicsStartupsApp FridayTechie TuesdaysIn DepthFunding InvestmentsResourcesExpert OpinionAboutAdvertise usAboutMeet teamReport issueSupport Center UsWork usEvents 2020 YourStory Media Pvt. 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https://www.business-standard.com/article/technology/artificial-intelligence-drives-content-in-fight-against-covid-19-pandemic-120042501212_1.html | 2020-04-25T00:00:00 | en | Artificial intelligence drives content in fight against Covid-19 pandemic | Business Standard News |
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Artificial intelligence drives content in fight against Covid-19 pandemic
Executives say there are many websites that aggregate data and provide a user interface, but lack human curation that works to synergise raw data and is harvested through AI
Pavan Lall |
Mumbai
Last Updated at April 25, 2020 23:44 IST
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Mumbai-based Cactus Communications, a knowledge process outsourcing firm, has launched a global research platform driven by artificial intelligence.
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Amid new business models driven by online delivery, web applications, and software for communication, some companies are building tools for entities that aim to tackle the root of Covid-19. Mumbai-based Cactus Communications, a knowledge process outsourcing firm, has launched a global research platform driven by artificial intelligence.
Specifically, the research available on the website that went live recently is directed at researchers across different disciplines in health care, globally. Virologists need to be aware of and work with public health experts, and immunologists need to work with respiratory care specialists, while geneticists need to know about emergency care.
People in different disciplines need to understand how they can cross-function for creating the best possible approach to cures, vaccines, and solutions for the epidemic.
The site, which is in English, uses natural language processing to allow access for categorised and topical research from white papers, journals, and publications. It will also feature Chinese, Japanese, and Korean sources.
ALSO READ: Virus of cyber kind: Only behavioural change can ensure digital security
Abhishek Goel, co-founder of Cactus, says the site does not require log-ins or a sign-up fee, and has seen as many as 2,000 unique visitors daily since its beta launch last week.
The site features 70,000 unique papers on coronavirus, of which 5,000 were written after the virus became a pandemic. He says insights from one discipline may lead to a breakthrough in another.
“We know that lessons from the past may have new relevance in new times. We know that even the most specialist researcher, working in isolation, wants to learn these lessons.” So how is Cactus’ site different from the ones operated by WHO, governments, or universities across the world?
Executives say there are many sites around the world that aggregate data and provide a user interface, but lack human curation that works to synergise raw data and is harvested through AI.
“Real-world researchers, paper recommendations, knowledge sharing, and answering questions is what makes this site different,” Goel says. Cactus is also setting up crowd-funding opportunities for research into Covid-19. Sameer Sah, partner at law firm Khaitan & Co who specialises in life sciences, said:
“Everyone is aware that data is the new oil and while collecting data is important, it is equally important to extract, refine, and distribute that oil.”
ALSO READ: Trump's disinfectant suggestion prompts aggressive pushback
Sah further said that during such times of disruption and uncertainty, data analytics provides the answer. The Covid-19 pandemic is global, and the solution can’t be achieved in a geographically restricted manner. Therefore, a free flow of research will not only help address information flow but also help address regulatory issues associated with clinical research and efficacy, he added.
The platform for the site was built over a month, with a team of 30 people that included employees from India, Japan, Denmark and China. The overarching objective is to “answer questions where research is currently stuck”, says Goel.
Cactus Life Sciences, a division of Cactus Communications helps pharma, biotech, and medical device organisations with content strategy, development, and dissemination.
There are other institutions that are involved in similar work, from the WHO, US government, and universities including Johns Hopkins, and more.
“Real-world researchers, recommending papers, sharing problems, and answering questions is the difference,” says Goel.
“We are analysing a specific sub-set of published research papers and pre-prints, and enriching these sources with NLP and concept linking. AI is being used for extraction of concepts from papers — concepts that occur frequently in published research. Whether for off-label use of medicines, effectiveness and approval of ventilators and alternatives, PPE, or actual medicines — global data collaboration is the key,” Sah said.
Read our full coverage on Coronavirus
First Published: Sat, April 25 2020. 23:09 IST
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| Artificial intelligence drives content in fight against Covid-19 pandemic | Artificial intelligence drives content fight Covid19 pandemic Business Standard News By continuing use site consent use cookies device described Policy disabled them. You change Settings time parts site function correctly them. 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X You here: Home Technology News India feature phone market declines 24 quarter 2020: Report Business Standard Artificial intelligence drives content fight Covid19 pandemic Executives websites aggregate data provide user interface, lack human curation works synergise raw data harvested AI Pavan Lall Mumbai Last Updated April 25, 2020 23:44 IST email article Message: Recipients Email: Type address separated commas Your Email: Enter characters shown image. Send copy: Mumbaibased Cactus Communications, knowledge process outsourcing firm, launched global research platform driven artificial intelligence. ALSO READ Edtech firms offer free access courses amid Coronavirus crisis Newage warriors coronavirus: Robots, drones, chatbots, apps Observe.AI, provider AI solutions centre agents, raises 26 mn AI rescue Regulating technology Amid new business models driven online delivery, web applications, software communication, companies building tools entities aim tackle root Covid19. Mumbaibased Cactus Communications, knowledge process outsourcing firm, launched global research platform driven artificial intelligence. Specifically, research available website went live recently directed researchers different disciplines health care, globally. Virologists need aware work public health experts, immunologists need work respiratory care specialists, geneticists need know emergency care. People different disciplines need understand crossfunction creating best possible approach cures, vaccines, solutions epidemic. The site, English, uses natural language processing allow access categorised topical research white papers, journals, publications. It feature Chinese, Japanese, Korean sources. ALSO READ: Virus cyber kind: Only behavioural change ensure digital security Abhishek Goel, cofounder Cactus, says site require logins signup fee, seen 2,000 unique visitors daily beta launch week. The site features 70,000 unique papers coronavirus, 5,000 written virus pandemic. He says insights discipline lead breakthrough another. We know lessons past new relevance new times. We know specialist researcher, working isolation, wants learn lessons. So Cactus site different ones operated WHO, governments, universities world? Executives sites world aggregate data provide user interface, lack human curation works synergise raw data harvested AI. Realworld researchers, paper recommendations, knowledge sharing, answering questions makes site different, Goel says. Cactus setting crowdfunding opportunities research Covid19. Sameer Sah, partner law firm Khaitan Co specialises life sciences, said: Everyone aware data new oil collecting data important, equally important extract, refine, distribute oil. ALSO READ: Trumps disinfectant suggestion prompts aggressive pushback Sah said times disruption uncertainty, data analytics provides answer. The Covid19 pandemic global, solution achieved geographically restricted manner. Therefore, free flow research help address information flow help address regulatory issues associated clinical research efficacy, added. The platform site built month, team 30 people included employees India, Japan, Denmark China. The overarching objective answer questions research currently stuck, says Goel. Cactus Life Sciences, division Cactus Communications helps pharma, biotech, medical device organisations content strategy, development, dissemination. There institutions involved similar work, WHO, US government, universities including Johns Hopkins, more. Realworld researchers, recommending papers, sharing problems, answering questions difference, says Goel. We analysing specific subset published research papers preprints, enriching sources NLP concept linking. AI extraction concepts papers concepts occur frequently published research. Whether offlabel use medicines, effectiveness approval ventilators alternatives, PPE, actual medicines global data collaboration key, Sah said. 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] | 1 | NEGATIVE | 278 |
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**We Provide Impact Analysis on Artificial Intelligence as a Service Market Due To CORONA Virus/COVID19 – [Request COVID-19 Impact Analysis]If you want to know more about Artificial Intelligence as a Service Market studies, then you definitely are at the right place. Here, we (MarketResearch.Biz) are imparting particular examine of “Global Artificial Intelligence as a Service Market (Volume and Revenue) , Trends, Premium Insights, Application, End-User, and Regional Analysis, Industry Analysis, Import-Export Analysis, Key Buyers, Intellectual Property Analysis, Traders/Distributors, Market Attractiveness, Competitive Landscape, Forecast Period 2020–2029”.Our best analysts have surveyed the Artificial Intelligence as a Service market report with the reference of inventories and data given by the key players:SAP SE SAS Institute Capgemini SE IBM Corporation Infosys Limited Intel Corporation BAE Systems, Inc. com, Inc. Amazon Web Service, Inc. HCL Technologies LimitedEach market player encompassed in the Artificial Intelligence as a Service market study is assessed according to its market share, production footprint, current launches, agreements, ongoing R&D projects, and business tactics. In addition, the Artificial Intelligence as a Service market study scrutinizes the strengths, weaknesses, opportunities and threats (SWOT) analysis.|| Checkout Free Report Sample of Artificial Intelligence as a Service Market Report for Better Understanding: https://marketresearch.biz/report/artificial-intelligence-as-a-service-market/request-sample(***Our FREE SAMPLE COPY of the report gives a brief introduction to the research report outlook, TOC, list of tables and figures, an outlook to key players of the market and comprising key regions.***)• Destinations of The Artificial Intelligence as a Service Research Study: -> Which technologies will witness most engaging research investments and what will be the key sources of funding for startups and new entrants? -> What are COVID-19 implications on Artificial Intelligence as a Service market and learn how businesses can respond, manage, and mitigate the risks? -> What are the key outcomes of SWOT and Porter’s five techniques? -> What will divide focus capacities and bits of the general business of key players in the worldwide Artificial Intelligence as a Service market? -> What are the discovring critical prospects and opportunities? -> What will analysis the market-based future prospects, advancement designs, and Artificial Intelligence as a Service components? -> What is the market size of driving pieces and sub-segments of the market? -> What is the current CAGR of the Artificial Intelligence as a Service Market??The report available is a restrictive and significant examination which conveys on an expansive outline of the business contains the progressing examples and future degrees of the market similar to thing and organizations. Meanwhile, Artificial Intelligence as a Service Market report offers a specialist look into focus on the market so as to guage the remarkable dealers by adjusting all the significant things or organizations to know the arranging of the key players inside the market all around.• Have Any Query Or Specific Requirement? -> Ask Our Industry Experts!In This Study, The Years Considered To Estimate The Size Of Artificial Intelligence as a Service Market Are As Follows: History Year: 2014-2018 Base Year: 2019 Estimated Year: 2020 Forecast Year 2020 to 2029Segmentation Outlook : Artificial Intelligence as a Service MarketSegmentation by Solution: Modeler and Processing Data Storage and Archiving Cloud and Web-Based Application Programming Interface (APIâÂÂs) Others (Model Validator, Decision Report, Predictor, Training, and Report Storage) Segmentation by Technology: Deep Learning Machine Learning (ML) Natural Language Processing (NLP) Segmentation by Organization Size: Large Enterprises Small and Medium-Sized Enterprises (SMEâÂÂs) Segmentation by Industrial Vertical: Healthcare and Defense Government and Utilities IT and Telecommunications Media & Communication Services Banking, Financial Services and Insurance (BFSI) Others (Food & Beverages, Oil & Gas, Real Estate, Manufacturing and Retail, and Transportation and Logistics)Regional Fragmentation:– North America (the United States, Canada, and Mexico)– Europe (Germany, UK, France, Italy, and Russia, etc.)– Asia-Pacific (China, Japan, ASEAN, India, and Korea)– The Middle East and Africa (UAE, Egypt, South Africa, Saudi Arabia)– South America (Brazil, Chile, Peru, and Argentina)Table of Contents• Report Overview: It includes, important manufacturers, market segments, study objectives, and market size analysis for the review duration 2020-2029;• Growth Trends: There are three chapters included on this section, i.e. The growth rate of key producers, enterprise tendencies, and production analysis;• Artificial Intelligence as a Service Market Share by using Players: Here, production, sales, and price study by the players are comprises together with different chapters such as enlargement plans and merger and acquisition, products offered with the aid of key players, and areas served and headquarters distribution;• Market Size: It consists of analysis of price, production price market share, and manufacturing market share;• Company Profiles: Here, new entrants and main players of the Artificial Intelligence as a Service marketplace are studied based on gross margin, sales, sales area, key products, rate, and production;• Artificial Intelligence as a Service Market Value Chain and Sales Channel Analysis: It includes distributor, value chain, customer, and sales channel evaluation;• Market Forecast: In this section of the report, the authors sheds light on manufacturing value forecast, consumption forecast through region, production forecast through region, manufacturing and sales forecast, and regional forecast;—–>>>>——-Download Detailed TOC Of Artificial Intelligence as a Service Market Report——<<<<——–Why Choose Us:– We offer industry-leading critical reports with accurate insights into the future of the market.– Our reports have been evaluated by some industry experts in the market, thus making them beneficial for the company’s to maximize their return on investments.– We provide a comprehensive pictorial representation of the information, strategic recommendations, highlighting the key market players, outcomes of the analytical tools to offer an elaborate landscape.. This detailed assessment of the market will help the company increase efficiency.– The demand and supply dynamics offered in the Artificial Intelligence as a Service Market report give a 360-degree view of the market.– Our report helps readers decipher the current and future constraints in the Artificial Intelligence as a Service Market, and help them formulate optimum business strategies to maximize growth in the market.Contact Us:Mr. Benni Johnson ([email protected])MarketResearch.Biz (Powered By Prudour Pvt. Ltd.)420 Lexington Avenue, Suite 300New York City, NY 10170,United StatesWebsite: https://marketresearch.bizShare Your Questions Here For More Details On this Report or Customizations As Per Your Need: https://marketresearch.biz/report/artificial-intelligence-as-a-service-market/#request-for-customization
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| Remarkable Comprehension 2020 : Artificial Intelligence as a Service Market (PDF Research) Qualitative & Quantitative Analysis | Remarkable Comprehension 2020 : Artificial Intelligence Service Market PDF Research Qualitative Quantitative Analysis CORONA VirusCOVID19 Impact Curious Market Reports About Our Team Privacy policy Terms service May 5, 2020 HomeSpaceEnergySatelliteNASAAll News Coronavirus business impact: Kinesin Like Protein KIF11 Market Risk Analysis 20192027 Coronavirus threat global Good Growth Opportunities Commercial Kitchen Equipment Appliances Market COVID19: Potential impact Radiation Nephropathy Treatment Management Market Forecast Growth 2018 2028 Persulfates Market Witness Comprehensive Growth 2018 2025 Potential Impact COVID19 Sleep Testing Services Market Scope Analysis 2028 Weekly Update: Global Coronavirus Impact Implications Abrasive Belts Market 2020 Global Key Players, Trends, Share, Industry Size, Growth, Opportunities Forecast 2030 HomeSpaceEnergySatelliteNASAAll News HomeSpaceEnergySatelliteNASAAll News Market Research Remarkable Comprehension 2020 : Artificial Intelligence Service Market PDF Research Qualitative Quantitative Analysis CORONA VirusCOVID19 Impact May 5, 20205 Min Read Frank Share This Facebook Twitter Google Plus Pinterest LinkedIn We Provide Impact Analysis Artificial Intelligence Service Market Due To CORONA VirusCOVID19 [Request COVID19 Impact Analysis]If want know Artificial Intelligence Service Market studies, definitely right place. Here, MarketResearch.Biz imparting particular examine Global Artificial Intelligence Service Market Volume Revenue, Trends, Premium Insights, Application, EndUser, Regional Analysis, Industry Analysis, ImportExport Analysis, Key Buyers, Intellectual Property Analysis, TradersDistributors, Market Attractiveness, Competitive Landscape, Forecast Period 20202029.Our best analysts surveyed Artificial Intelligence Service market report reference inventories data given key players:SAP SE SAS Institute Capgemini SE IBM Corporation Infosys Limited Intel Corporation BAE Systems, . com, . Amazon Web Service, . HCL Technologies LimitedEach market player encompassed Artificial Intelligence Service market study assessed according market share, production footprint, current launches, agreements, ongoing RD projects, business tactics. In addition, Artificial Intelligence Service market study scrutinizes strengths, weaknesses, opportunities threats SWOT analysis. Checkout Free Report Sample Artificial Intelligence Service Market Report Better Understanding: FREE SAMPLE COPY report gives brief introduction research report outlook, TOC, list tables figures, outlook key players market comprising key regions. Destinations The Artificial Intelligence Service Research Study: > Which technologies witness engaging research investments key sources funding startups new entrants? >What COVID19 implications Artificial Intelligence Service market learn businesses respond, manage, mitigate risks? >What key outcomes SWOT Porters techniques? >What divide focus capacities bits general business key players worldwide Artificial Intelligence Service market? >What discovring critical prospects opportunities? >What analysis marketbased future prospects, advancement designs, Artificial Intelligence Service components? >What market size driving pieces subsegments market? >What current CAGR Artificial Intelligence Service Market??The report available restrictive significant examination conveys expansive outline business contains progressing examples future degrees market similar thing organizations. Meanwhile, Artificial Intelligence Service Market report offers specialist look focus market guage remarkable dealers adjusting significant things organizations know arranging key players inside market around.Have Any Query Or Specific Requirement? > Ask Our Industry ExpertsIn This Study, The Years Considered To Estimate The Size Of Artificial Intelligence Service Market Are As Follows: History Year:20142018 Base Year:2019 Estimated Year:2020 Forecast Year2020 2029Segmentation Outlook : Artificial Intelligence Service MarketSegmentation Solution: Modeler Processing Data Storage Archiving Cloud WebBased Application Programming Interface APIs Others Model Validator, Decision Report, Predictor, Training, Report Storage Segmentation Technology: Deep Learning Machine Learning ML Natural Language Processing NLP Segmentation Organization Size: Large Enterprises Small MediumSized Enterprises SMEs Segmentation Industrial Vertical: Healthcare Defense Government Utilities IT Telecommunications Media Communication Services Banking, Financial Services Insurance BFSI Others Food Beverages, Oil Gas, Real Estate, Manufacturing Retail, Transportation LogisticsRegional Fragmentation: North America United States, Canada, Mexico Europe Germany, UK, France, Italy, Russia, etc. AsiaPacific China, Japan, ASEAN, India, Korea The Middle East Africa UAE, Egypt, South Africa, Saudi Arabia South America Brazil, Chile, Peru, ArgentinaTable Contents Report Overview: It includes, important manufacturers, market segments, study objectives, market size analysis review duration 20202029; Growth Trends: There chapters included section, i.e. The growth rate key producers, enterprise tendencies, production analysis; Artificial Intelligence Service Market Share Players: Here, production, sales, price study players comprises different chapters enlargement plans merger acquisition, products offered aid key players, areas served headquarters distribution; Market Size: It consists analysis price, production price market share, manufacturing market share; Company Profiles: Here, new entrants main players Artificial Intelligence Service marketplace studied based gross margin, sales, sales area, key products, rate, production; Artificial Intelligence Service Market Value Chain Sales Channel Analysis: It includes distributor, value chain, customer, sales channel evaluation; Market Forecast: In section report, authors sheds light manufacturing value forecast, consumption forecast region, production forecast region, manufacturing sales forecast, regional forecast;>>>>Download Detailed TOC Of Artificial Intelligence Service Market Report<<<<Why Choose Us:We offer industryleading critical reports accurate insights future market.Our reports evaluated industry experts market, making beneficial companys maximize return investments.We provide comprehensive pictorial representation information, strategic recommendations, highlighting key market players, outcomes analytical tools offer elaborate landscape.. This detailed assessment market help company increase efficiency.The demand supply dynamics offered Artificial Intelligence Service Market report 360degree view market.Our report helps readers decipher current future constraints Artificial Intelligence Service Market, help formulate optimum business strategies maximize growth market. Us:Mr. Benni Johnson [emailprotected]MarketResearch.Biz Powered By Prudour Pvt. Ltd.420 Lexington Avenue, Suite 300New York City, NY 10170,United StatesWebsite: Your QuestionsHere For More Details On Report Customizations As Per Your Need: You like Market Research France Oral Care Market Share, Size, Growth, Demand Forecast Report Expert Market Research May 5, 2020 Market Research Remarkable Comprehension 2020 : ABS Luggage Market PDF Research Qualitative Quantitative Analysis CORONA VirusCOVID19 Impact May 5, 2020 Market Research Remarkable Comprehension 2020 : Smart Necklace Market PDF Research Qualitative Quantitative Analysis CORONA VirusCOVID19 Impact May 5, 2020 About authorView All Posts Frank Remarkable Comprehension 2020 : Espresso Coffee Market PDF Research Qualitative Quantitative Analysis CORONA VirusCOVID19 Impact Remarkable Comprehension 2020 : Industrial Smart Motors Market PDF Research Qualitative Quantitative Analysis CORONA VirusCOVID19 Impact Share This Facebook Twitter Google Plus Pinterest LinkedIn Recent Posts Coronavirus business impact: Kinesin Like Protein KIF11 Market Risk Analysis 20192027 Coronavirus threat global Good Growth Opportunities Commercial Kitchen Equipment Appliances Market COVID19: Potential impact Radiation Nephropathy Treatment Management Market Forecast Growth 2018 2028 Persulfates Market Witness Comprehensive Growth 2018 2025 Potential Impact COVID19 Sleep Testing Services Market Scope Analysis 2028 Our Address Curious Desk 445 E Ohio Street, Unit 2708 Chicago, IL 60611 1 773 6540355[emailprotected] 2020. 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https://www.sandiegomagazine.com/things-to-do/world-renowned-pianist-hershey-felder-brings-claude-debussy-to-san-diego/article_9a362bf6-18b2-11eb-ad26-87f4c2f65fab.html | 2020-10-30T00:00:00 | en | World-Renowned Pianist Hershey Felder Brings Claude Debussy to San Diego | Things to Do in San Diego | sandiegomagazine.com |
World-Renowned Pianist Hershey Felder Brings Claude Debussy to San Diego | Things to Do in San Diego | sandiegomagazine.com
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featured
World-Renowned Pianist Hershey Felder Brings Claude Debussy to San Diego
Felder has made a career of embodying history’s greatest composer. This November, see “A Paris Love Story,” streamed live from Florence.
Dan Letchworth
Dan Letchworth
Oct 29, 2020
17 hrs ago
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Dan Letchworth: “If you could play the whole world one song right now, what would it be?” Hershey Felder: [Long pause.] “Oh God. I don’t know. It would have to be [unintelligible]--all in this together. Maybe Beethov--[static].”Wednesday night, March 4, the staff of San Diego Magazine sent our April issue to press. Earlier that day, California’s governor had declared a state of emergency, and while reviewing page proofs I was texting my mother to make sure she had enough groceries for a two-week quarantine.Planning for the next issue, I leapt at the chance to interview Hershey Felder, who would be at the San Diego Repertory Theatre in May. Every day, more staff members started working from home. My last day in the office was March 17, and early the next morning I called Mr. Felder in Paris from my kitchen table, where—I remembered too late—I’m lucky to get a single reception bar. Our connection was so bad he could barely hear me, and I had to restart my first question three times before dragging my chair, phone, and computer out into the rain.Outside, a second bar meant he could now hear my questions, but in the rain and wind neither I, nor my voice memo app, could pick up more than an occasional suggestion of his answers. Later, transcribing our conversation felt like searching for alien signals in a sea of cosmic white noise.Anyway, it all became moot one week later, when our May issue was canceled. DL: “Does understanding a composer’s life improve your appreciation of their music?” HF: “For me it has always been about understanding the context in which these pieces were composed. It was not a whim. Debussy got up every morning and he worked. Which I think is a very important part of understanding these composers. They were serious working people.”Hershey Felder is inexhaustible, his memory a seemingly infinite library. While most concert pianists are content to simply play the masterworks of classical music for you (the lazy slobs!), Felder creates one-man biographical stage plays where he captures each composer’s life story, setting their music in the context of its time and creation.A Paris Love Story, about Claude Debussy, is his eighth such work, and he’s been performing all of them, in rotation, thousands of times, 10 months a year, for decades. He’s already finished his ninth, about Sergei Rachmaninoff.The Rep’s production was postponed till November, and as of press time, my guess is that it will most likely be streamed live from the City of Lights. Because of course Felder didn’t take the summer off just because every theater on earth was closed—instead he created his own arts broadcasting company, Live from Florence, and streamed three of his other plays: on Irving Berlin in May, on Beethoven in July, and on Gershwin in September. A portion of the proceeds from each went to support the Rep and a dozen other theaters where he frequently performs.The streaming format suits him just fine; his welcoming manner is more suited to the intimate theater than the concert hall, anyway: Eager to tell the story behind the music, he draws you in, as if sharing a secret, and teases out expressions you’ve never heard before in even the most popular tunes.At the end of his live broadcast of George Gershwin Alone, once he’d finished “Rhapsody in Blue” and you were positive you couldn’t be any more impressed, he took viewer questions by email. When one surprisingly entitled fan complained that their favorite Gershwin concerto wasn’t part of the program, Felder asked the stage manager for his iPad, downloaded the sheet music, and sight-read it on the spot. DL: “What delights you the most about what you do?” HF: “When the audience has that little lightbulb go off. ‘Oh, now I get it.’ It’s great fun to watch an audience enjoy learning. It’s not a lecture, it’s entertainment--but nothing is more fun than learning while you’re being entertained.”My 2019 New Year’s resolution was to secretly begin practicing piano for the first time since childhood. My plan was to surprise my dad by playing his favorite song, Debussy’s “Clair de Lune,” for him on his birthday. On the page, some sections looked impossible. But I learned that if I just practiced one measure at a time—even just a couple notes at a time—eventually it would click. Suddenly I’d feel the pattern, and I smiled to myself, because it felt like Debussy had reached through time to let me in on his secret.Then on the morning of my dad’s birthday, he died.So it goes. Debussy himself died at age 55, while the First World War raged around him. Gershwin died at 38, in the depths of the Great Depression.Don’t withhold your gifts. Give them freely as soon as you can. Be they material, a talent, or simply a kind word. If there’s anything you’ve been meaning to do, know there will never be a perfect time, and that everything can change in a day. You can’t wait for inspiration to strike. Just get up and start doing the work. DL: “Those lightbulb moments are the best for me—when all of a sudden I understand what the composer is doing.” HF: “It’s all about human connection. When someone’s idea resonates with us and we understand it on their level. That means something, especially now. We’re going to have some challenging times in the next few months, figuring out how to communicate with and be kind to one another. Maybe this is a good time to take a break from the crazy world and think about how we treat each other.”Hershey Felder’s A Paris Love Story is scheduled to play in November streamed live from Paris. Check sdrep.org and hersheyfelder.net for the most up-to-date info on how to see it.
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October November 2020
Music
Dan Letchworth
Dan Letchworth is the copy chief of San Diego Magazine. His print column Dansplaining explores San Diego trivia, and his theater review blog Everyone’s a Critic was a finalist for best online column in the 2019 National City & Regional Magazine Awards.
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| World-Renowned Pianist Hershey Felder Brings Claude Debussy to San Diego | WorldRenowned Pianist Hershey Felder Brings Claude Debussy San Diego Things Do San Diego You owner article. Edit Article Add New Article Close You permission edit article. Edit Close Facebook Twitter YouTube Instagram Welcome, Guest Sign Up Log In Dashboard Logout My Account My Account Dashboard Profile Saved items Logout San Diego Mag Home Us Advertise Insiders Content Partners Restaurants The Feed Restaurants Openings Closings Bars Beer Breweries Happy Half Hour Podcast Things Do Event Calendar Things Do Weekend Magazine Events Theater Music Charities Shopping Neighborhoods Best Places Live North County Beaches Central San Diego South Bay East County Homes Outdoors Hiking Camping On Water Sports Health Fitness Getaways Mexico Hawaii California Pacific Northwest Southwest Midwest East Coast Road Trips Guides Best San Diego Best Restaurants Best North County Best Places Live People QAs Tastemakers Celebrating Women Magazine Magazine Features Eedition Magazine Events Directories Lawyers Doctors Charities Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Our Events Join Insiders Toggle navigation Menu San Diego Mag Home Restaurants Things Do Neighborhoods Outdoors Getaways Guides People Magazine Directories Charities Share This Facebook Twitter WhatsApp SMS Email featured WorldRenowned Pianist Hershey Felder Brings Claude Debussy San Diego Felder career embodying historys greatest composer. This November, A Paris Love Story, streamed live Florence. Dan Letchworth Dan Letchworth Oct 29, 2020 17 hrs ago 0 Facebook Twitter WhatsApp SMS Email Photo courtesy Hershey Felder Presents Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save Dan Letchworth: If play world song right now, be? Hershey Felder: [Long pause.] Oh God. I dont know. It [unintelligible]all together. Maybe Beethov[static].Wednesday night, March 4, staff San Diego Magazine sent April issue press. Earlier day, Californias governor declared state emergency, reviewing proofs I texting mother sure groceries twoweek quarantine.Planning issue, I leapt chance interview Hershey Felder, San Diego Repertory Theatre May. Every day, staff members started working home. My day office March 17, early morning I called Mr. Felder Paris kitchen table, whereI remembered lateIm lucky single reception bar. Our connection bad barely hear me, I restart question times dragging chair, phone, rain.Outside, second bar meant hear questions, rain wind I, voice memo app, pick occasional suggestion answers. Later, transcribing conversation felt like searching alien signals sea cosmic white noise.Anyway, moot week later, May issue canceled. DL: Does understanding composers life improve appreciation music? HF: For understanding context pieces composed. It whim. Debussy got morning worked. Which I think important understanding composers. They working people.Hershey Felder inexhaustible, memory seemingly infinite library. While concert pianists content simply play masterworks classical music lazy slobs, Felder creates oneman biographical stage plays captures composers life story, setting music context time creation.A Paris Love Story, Claude Debussy, eighth work, hes performing them, rotation, thousands times, 10 months year, decades. Hes finished ninth, Sergei Rachmaninoff.The Reps production postponed till November, press time, guess likely streamed live City Lights. Because course Felder didnt summer theater earth closedinstead created arts broadcasting company, Live Florence, streamed plays: Irving Berlin May, Beethoven July, Gershwin September. A portion proceeds went support Rep dozen theaters frequently performs.The streaming format suits fine; welcoming manner suited intimate theater concert hall, anyway: Eager tell story music, draws in, sharing secret, teases expressions youve heard popular tunes.At end live broadcast George Gershwin Alone, hed finished Rhapsody Blue positive impressed, took viewer questions email. When surprisingly entitled fan complained favorite Gershwin concerto wasnt program, Felder asked stage manager iPad, downloaded sheet music, sightread spot. DL: What delights do? HF: When audience little lightbulb off. Oh, I it. Its great fun watch audience enjoy learning. Its lecture, entertainmentbut fun learning youre entertained.My 2019 New Years resolution secretly begin practicing piano time childhood. My plan surprise dad playing favorite song, Debussys Clair Lune, birthday. On , sections looked impossible. But I learned I practiced measure timeeven couple notes timeeventually click. Suddenly Id feel pattern, I smiled myself, felt like Debussy reached time let secret.Then morning dads birthday, died.So goes. Debussy died age 55, First World War raged him. Gershwin died 38, depths Great Depression.Dont withhold gifts. Give freely soon can. Be material, talent, simply kind word. If theres youve meaning do, know perfect time, change day. You wait inspiration strike. Just start work. DL: Those lightbulb moments best mewhen sudden I understand composer doing. HF: Its human connection. When someones idea resonates understand level. That means something, especially now. Were going challenging times months, figuring communicate kind another. Maybe good time break crazy world think treat other.Hershey Felders A Paris Love Story scheduled play November streamed live Paris. Check uptodate info it. Facebook Twitter WhatsApp SMS Email Print Save Tags October November 2020 Music Dan Letchworth Dan Letchworth copy chief San Diego Magazine. His print column Dansplaining explores San Diego trivia, theater review blog Everyones Critic finalist best online column 2019 National City Regional Magazine Awards. Follow Dan Letchworth Post comment Emoticons [smile] [beam] [wink] [sad] [cool] [innocent] [rolleyes] [whistling] [lol] [huh] [tongue] [love] [sleeping] [yawn] [unsure] [angry] [blink] [crying] [ohmy] [scared] [sleep] [sneaky] [tongue_smile] [thumbdown] [thumbup] [censored] [happybirthday] [ban] [spam] [offtopic] [batman] [ninja] [pirate] [alien] Comment Text Cancel Post comment Report Cancel Report Abuse Watch discussion. Stop watching discussion. 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] | 1 | POSITIVE | 280 |
https://fnbherald.com/2020/01/29/global-artificial-intelligence-and-machine-learning-market-size-share-trends-latest-innovations-drivers-dynamics-and-strategic-analysis-challenges-by-2024/ | 2020-01-29T00:00:00 | en | Global Artificial Intelligence and Machine Learning Market Size, Share, Trends, Latest Innovations, Drivers, Dynamics And Strategic Analysis, Challenges By 2024 – Food & Beverage Herald |
Global Artificial Intelligence and Machine Learning Market Size, Share, Trends, Latest Innovations, Drivers, Dynamics And Strategic Analysis, Challenges By 2024 – Food & Beverage Herald
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Global Artificial Intelligence and Machine Learning Market Size, Share, Trends, Latest Innovations, Drivers, Dynamics And Strategic Analysis, Challenges By 2024
[email protected] January 29, 2020
“arcognizance.com” has added latest research report on “Global Artificial Intelligence and Machine Learning Market”, this report helps to analyze top manufacturers, regions, revenue, price, and also covers Industry sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
Artificial intelligence (AI) is the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Machine learning is a method of data analysis that automates analytical model building.
Sale, Discounts on Reports Check for [email protected] https://www.arcognizance.com/offers
Scope of the Report:
The global Artificial Intelligence and Machine Learning Market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.
Download PDF Sample of Artificial Intelligence and Machine Learning Market [email protected] http://www.arcognizance.com/enquiry-sample/229987
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Artificial Intelligence and Machine Learning.
Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Artificial Intelligence and Machine Learning market status and outlook of
Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Artificial Intelligence and Machine Learning market by product type and applications/end industries.
Brief about Artificial Intelligence and Machine Learning Market Report with [email protected] http://www.arcognizance.com/report/global-artificial-intelligence-and-machine-learning-market-2019-by-manufacturers-countries-type-and-application-forecast-to-2024
Market Segment by Companies, this report covers
AIBrain
Amazon
Anki
CloudMinds
Deepmind
Google
Facebook
IBM
Iris AI
Apple
Luminoso
Qualcomm
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Deep Learning
Natural Language Processing
Machine Vision
Others
Single User Licenses Copy and Other Purchase [email protected] http://www.arcognizance.com/discount/229987
Market Segment by Applications, can be divided into
Healthcare
BFSI
Law
Retail
Advertising & Media
Automotive & Transportation
Agriculture
Manufacturing
Major Point of TOC:
Chapter One: Application Security Software Market Overview
Chapter Two: Manufacturers Profiles
Chapter Three: Global Application Security Software Market Competition, by Players
Chapter Four: Global Application Security Software Market Size by Regions
Chapter Five: North America Application Security Software Revenue by Countries
Chapter Six: Europe Application Security Software Revenue by Countries
Chapter Seven: Asia-Pacific Application Security Software Revenue by Countries
Chapter Eight: South America Application Security Software Revenue by Countries
Chapter Nine: Middle East and Africa Revenue Application Security Software by Countries
Chapter Ten: Global Application Security Software Market Segment by Type
Chapter Eleven: Global Application Security Software Market Segment by Application
Chapter Twelve: Global Application Security Software Market Size Forecast (2018-2023)
Chapter Thirteen: Research Findings and Conclusion
Chapter Fourteen: Appendix
List of tables
List of Tables and Figures
Figure Artificial Intelligence and Machine Learning Picture
Table Product Specifications of Artificial Intelligence and Machine Learning
Table Global Artificial Intelligence and Machine Learning and Revenue (Million USD) Market Split by Product Type
Figure Global Artificial Intelligence and Machine Learning Revenue Market Share by Types in 2018
Figure Deep Learning Picture
Figure Natural Language Processing Picture
Figure Machine Vision Picture
Figure Others Picture
Table Global Artificial Intelligence and Machine Learning Revenue (Million USD) by Application (2014-2024)
Figure Artificial Intelligence and Machine Learning Revenue Market Share by Applications in 2018
Figure Healthcare Picture
Figure BFSI Picture
Figure Law Picture
Figure Retail Picture
Figure Advertising & Media Picture
Figure Automotive & Transportation Picture
Figure Agriculture Picture
Figure Manufacturing Picture
Table Global Market Artificial Intelligence and Machine Learning Revenue (Million USD) Comparison by Regions 2014-2024
Figure North America Artificial Intelligence and Machine Learning Revenue (Million USD) and Growth Rate (2014-2024)
Figure Europe Artificial Intelligence and Machine Learning Revenue (Million USD) and Growth Rate (2014-2024)
Figure Asia-Pacific Artificial Intelligence and Machine Learning Revenue (Million USD) and Growth Rate (2014-2024)
Figure South America Artificial Intelligence and Machine Learning Revenue (Million USD) and Growth Rate (2014-2024)
Figure Middle East and Africa Artificial Intelligence and Machine Learning Revenue (Million USD) and Growth Rate (2014-2024)
Figure Global Artificial Intelligence and Machine Learning Revenue (Million USD) and Growth Rate (2014-2024)
Table AIBrain Basic Information, Manufacturing Base and Competitors
Table AIBrain Artificial Intelligence and Machine Learning Type and Applications
Table AIBrain Artificial Intelligence and Machine Learning Revenue, Gross Margin and Market Share (2017-2018), continued…
About Us:
Analytical Research Cognizance is an initiation in this new era of “analysis @ thought.” We are on a mission to replace the conventional research programs and give way to the latest methods and information for the organizations. We have created this hub of analytical research papers where you can get an access to the latest and the best research papers coming out from some reliable and budding research houses. After the advent of “new analytics” based on the data collection facilities of big data, the face of “business research facilities” has changed drastically.
Contact Us:
Matt Wilson
Manager – Global Sales
Analytical Research Cognizance
+1 (646) 434-7969, +91 90967 44448
[email protected]
http://www.arcognizance.com/
This post was originally published on Food and Beverage Herald
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| Global Artificial Intelligence and Machine Learning Market Size, Share, Trends, Latest Innovations, Drivers, Dynamics And Strategic Analysis, Challenges By 2024 | Global Artificial Intelligence Machine Learning Market Size, Share, Trends, Latest Innovations, Drivers, Dynamics And Strategic Analysis, Challenges By 2024 Food Beverage Herald Skip content Menu Our Staff Us Menu General News NASA Energy Rockets Launches Satellites Green Electric Flash News Tranexamic Acid Market Report Focusing Current Trends Leading Fortune Companies By 2024 Polyisobutylene PIB CAS 9003274 Market : Industry Trends Developments 20192025 Cell Counting market set reach market value US XX MnBn 2019 2016 2024 Dental Prosthetics Market Growth Forecast 20192028 Protective Spectacles Market: Facts, Figures Analytical Insights, 2019to 2025 Global Artificial Intelligence Machine Learning Market Size, Share, Trends, Latest Innovations, Drivers, Dynamics And Strategic Analysis, Challenges By 2024 CFA Piling Rigs Market Forecast By Enduse Industry 20192026 Sourdough Market 2019 Business Insights,Top Companies,Growth, Market Size Global Market Share, Trends, Outlook, Opportunity Demand Analysis, Forecast upto 2027 Soil Conditioners Market Monitoring Growth Opportunities 2026 Laser Therapy Devices Market Current Trends Analysis 20192025 Light Transmitting Concrete Market Analysis Market Leaders, Region, Product Application 2018 2026 Global Automotive Engineering Service Providers ESP Market 2020 Company, Countries, Type Application, Forecast 2024 Block Bleed Manifolds Market: How Top Leading Companies Can Make This Smart Strategy Work Dearomatic Solvent Oil Market Globally Expected Drive Growth 2025 Hand Tools Market Industry Shares Report Analysis 20192027 Banana Bread Market gains worldwide popularity Papa Joes Bakehouse, King Arthur Flour, Big Banana Bread Global Performance Elastomers Market Growth Opportunities, Regions, Type Application, Revenue Market Forecast 2028 Central Fill Pharmacy Automation Market Forecast Comprehensive Report 20202028 Face Voice Biometrics Market Size, Industry Status, Growth Opportunity Leading Players Global Gunshot Detection Market Size, Share, Outlook Forecast 2023 Fishing Rod Racks Market Exclusive Report Analysis 20192025 Hermetic Motors Market Key Players Analysis 20192025 Castor Oil Derivatives Market Current Trends, SWOT Analysis, Strategies, Industry Challenges, Business Overview Forecast Research Study 2016 2024 Aluminum Barrier Laminate ABL Tubes Market : Challenges Opportunities Reviewed New Study Coffee Bean Grinders Market: Growth Drivers Giants Strategic Moves Boosting Sales Collet Chuck Market Application Region, Trend, Forecast, Competitive Analysis, Growth Opportunity 20202025 Color Detection Sensor Market Size, Share And Trends Analysis Report By Key Players Combination Steam Oven Market Global Market 2020 Competitive Landscape, Trends, And Opportunities 2025 Commercial Cannabis Dehumidifiers Market By Technology, Industry Update, Region, Leading Players Commercial Coffee Bean Grinders Market Global Market 2020 Competitive Landscape, Trends, And Opportunities 2025 Food Beverage Herald Market Research Reports Herald Menu Our Staff Us Wednesday, January 29, 2020 Menu General News NASA Energy Rockets Launches Satellites Green Electric Business Market Updates Global Artificial Intelligence Machine Learning Market Size, Share, Trends, Latest Innovations, Drivers, Dynamics And Strategic Analysis, Challenges By 2024 [emailprotected] January 29, 2020 added latest research report Global Artificial Intelligence Machine Learning Market, report helps analyze manufacturers, regions, revenue, price, covers Industry sales channel, distributors, traders, dealers, Research Findings Conclusion, appendix data source. Artificial intelligence AI study intelligent agents: device perceives environment takes actions maximize chance successfully achieving goals. Machine learning method data analysis automates analytical model building. Sale, Discounts Reports Check [emailprotected] Scope Report: The global Artificial Intelligence Machine Learning Market valued xx million USD 2018 expected reach xx million USD end 2024, growing CAGR xx 2019 2024. Download PDF Sample Artificial Intelligence Machine Learning Market [emailprotected] The AsiaPacific occupy market share following years, especially China, fast growing India Southeast Asia regions. North America, especially The United States, play important role ignored. Any changes United States affect development trend Artificial Intelligence Machine Learning. Europe play important roles global market, market size xx million USD 2019 xx million USD 2024, CAGR xx. This report studies Artificial Intelligence Machine Learning market status outlook Global major regions, angles players, countries, product types end industries; report analyzes players global market, splits Artificial Intelligence Machine Learning market product type applicationsend industries. Brief Artificial Intelligence Machine Learning Market Report [emailprotected] Market Segment Companies, report covers AIBrain Amazon Anki CloudMinds Deepmind Google Facebook IBM Iris AI Apple Luminoso Qualcomm Market Segment Regions, regional analysis covers North America United States, Canada Mexico Europe Germany, France, UK, Russia Italy AsiaPacific China, Japan, Korea, India Southeast Asia South America Brazil, Argentina, Colombia Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa Market Segment Type, covers Deep Learning Natural Language Processing Machine Vision Others Single User Licenses Copy Other Purchase [emailprotected] Market Segment Applications, divided Healthcare BFSI Law Retail Advertising Media Automotive Transportation Agriculture Manufacturing Major Point TOC: Chapter One: Application Security Software Market Overview Chapter Two: Manufacturers Profiles Chapter Three: Global Application Security Software Market Competition, Players Chapter Four: Global Application Security Software Market Size Regions Chapter Five: North America Application Security Software Revenue Countries Chapter Six: Europe Application Security Software Revenue Countries Chapter Seven: AsiaPacific Application Security Software Revenue Countries Chapter Eight: South America Application Security Software Revenue Countries Chapter Nine: Middle East Africa Revenue Application Security Software Countries Chapter Ten: Global Application Security Software Market Segment Type Chapter Eleven: Global Application Security Software Market Segment Application Chapter Twelve: Global Application Security Software Market Size Forecast 20182023 Chapter Thirteen: Research Findings Conclusion Chapter Fourteen: Appendix List tables List Tables Figures Figure Artificial Intelligence Machine Learning Picture Table Product Specifications Artificial Intelligence Machine Learning Table Global Artificial Intelligence Machine Learning Revenue Million USD Market Split Product Type Figure Global Artificial Intelligence Machine Learning Revenue Market Share Types 2018 Figure Deep Learning Picture Figure Natural Language Processing Picture Figure Machine Vision Picture Figure Others Picture Table Global Artificial Intelligence Machine Learning Revenue Million USD Application 20142024 Figure Artificial Intelligence Machine Learning Revenue Market Share Applications 2018 Figure Healthcare Picture Figure BFSI Picture Figure Law Picture Figure Retail Picture Figure Advertising Media Picture Figure Automotive Transportation Picture Figure Agriculture Picture Figure Manufacturing Picture Table Global Market Artificial Intelligence Machine Learning Revenue Million USD Comparison Regions 20142024 Figure North America Artificial Intelligence Machine Learning Revenue Million USD Growth Rate 20142024 Figure Europe Artificial Intelligence Machine Learning Revenue Million USD Growth Rate 20142024 Figure AsiaPacific Artificial Intelligence Machine Learning Revenue Million USD Growth Rate 20142024 Figure South America Artificial Intelligence Machine Learning Revenue Million USD Growth Rate 20142024 Figure Middle East Africa Artificial Intelligence Machine Learning Revenue Million USD Growth Rate 20142024 Figure Global Artificial Intelligence Machine Learning Revenue Million USD Growth Rate 20142024 Table AIBrain Basic Information, Manufacturing Base Competitors Table AIBrain Artificial Intelligence Machine Learning Type Applications Table AIBrain Artificial Intelligence Machine Learning Revenue, Gross Margin Market Share 20172018, continued : Analytical Research Cognizance initiation new era analysis @ thought. We mission replace conventional research programs way latest methods information organizations. We created hub analytical research papers access latest best research papers coming reliable budding research houses. After advent new analytics based data collection facilities big data, face business research facilities changed drastically. Us: Matt Wilson Manager Global Sales Analytical Research Cognizance 1 646 4347969, 91 90967 44448 [emailprotected] This post originally published Food Beverage Herald Artificial Intelligence Machine LearningArtificial Intelligence Machine Learning industryArtificial Intelligence Machine Learning marketArtificial Intelligence Machine Learning market ForecastArtificial Intelligence Machine Learning market OutlookArtificial Intelligence Machine Learning market shareArtificial Intelligence Machine Learning market size Post navigation CFA Piling Rigs Market Forecast By Enduse Industry 20192026Protective Spectacles Market: Facts, Figures Analytical Insights, 2019to 2025 Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recent Posts Tranexamic Acid Market Report Focusing Current Trends Leading Fortune Companies By 2024 Polyisobutylene PIB CAS 9003274 Market : Industry Trends Developments 20192025 Cell Counting market set reach market value US XX MnBn 2019 2016 2024 Dental Prosthetics Market Growth Forecast 20192028 Protective Spectacles Market: Facts, Figures Analytical Insights, 2019to 2025 Our Staff Us Proudly powered WordPress Theme: FreeNews By . Go Top | 2,020 | [
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Emerging News / Featured / Finance / Market ReportsOn-premises Telecommunication AI Market Report Enhancement By 2026 With Latest Technology & Future Scope
February 19, 2020 - by [email protected] - Leave a Comment
The global On-premises Telecommunication AI market size was xx million US$ and it is expected to reach xx million US$ by the end of 2026, with a CAGR of xx% during 2020-2026.
The Analysis report titled “On-premises Telecommunication AI Market 2026” highly demonstrates the current On-premises Telecommunication AI market analysis scenario, impending future opportunities, revenue growth, pricing and profitability of the industry.
Growth Analysis Report on “On-premises Telecommunication AI Market size | Industry Segment by Applications, by Type Regional Outlook, Market Demand, Latest Trends, On-premises Telecommunication AI Industry Share & Revenue by Manufacturers, Company Profiles, Growth Forecasts – 2026.”Analyzes current market size and upcoming year’s growth of this industry.
The key players covered in this study: NVIDIA, Alphabet, Cisco Systems, IBM, Sentient Technologies, and H2O.ai
CLICK TO GET !!! FREE !!! COMPLETE REPORT OF ON-PREMISES TELECOMMUNICATION AI (WITH FULL TOC & DESCRIPTION)
New vendors in the market are facing tough competition from established international vendors as they struggle with technological innovations, reliability and quality issues. The report will answer questions about the current market developments and the scope of competition, opportunity cost and more.
This report focuses on the global On-premises Telecommunication AI status, future forecast, growth opportunity, key market and key players. The study objectives are to present the On-premises Telecommunication AI development in United States, Europe, China, Japan, Southeast Asia, India, and Central & South America.
The On-premises Telecommunication AI market is a comprehensive report which offers a meticulous overview of the market share, size, trends, demand, product analysis, application analysis, regional outlook, competitive strategies, forecasts, and strategies impacting the On-premises Telecommunication AI Industry. The report includes a detailed analysis of the market competitive landscape, with the help of detailed business profiles, SWOT analysis, project feasibility analysis, and several other details about the key companies operating in the market.
The study objectives of this report are:
To study and forecast the market size of On-premises Telecommunication AI in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast among global major regions.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
TO KNOW MORE ABOUT THIS REPORT
Reasons for Buying this Report:
This On-premises Telecommunication AI Market report provides pin-point analysis for changing competitive dynamics
It provides a forward-looking perspective on different factors driving or restraining Market growth
It provides a six-year forecast assessed on the basis of how the Market is predicted to grow
It helps in understanding the key product segments and their future
It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors
It helps in making informed business decisions by having complete insights of Market and by making in-depth analysis of Market segments.
Table of Contents:
Global On-premises Telecommunication AI Market Size, Status and Forecast 2020-2026
Chapter One: Report Overview
Chapter Two: Global Growth Trends
Chapter Three: Market Share by Key Players
Chapter Four: Breakdown Data by Type and Application
Chapter Five: United States
Chapter Six: Europe
Chapter Seven: China
Chapter Eight: Japan
Chapter Nine: India
Chapter Ten: Central & South America
Chapter Eleven: International Players Profiles
Chapter Twelve: Market Forecast 2020-2026
Chapter Thirteen: Analyst’s Viewpoints/Conclusions
About Us:
Market research is the new buzzword in the market, which helps in understanding the market potential of any product in the market. Reports And Markets is not just another company in this domain but is a part of a veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world.
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| On-premises Telecommunication AI Market Report Enhancement By 2026 With Latest Technology & Future Scope | Onpremises Telecommunication AI Market Report Enhancement By 2026 With Latest Technology Future Scope News Parent Skip content Top Menu February 19, 2020 Us Disclaimer Our Staff News Parent Bio TechnologyElectronicsEmerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports for: Main Menu Emerging News Featured Finance Market ReportsOnpremises Telecommunication AI Market Report Enhancement By 2026 With Latest Technology Future Scope February 19, 2020 [emailprotected] Leave Comment The global Onpremises Telecommunication AI market size xx million US expected reach xx million US end 2026, CAGR xx 20202026. The Analysis report titled Onpremises Telecommunication AI Market 2026 highly demonstrates current Onpremises Telecommunication AI market analysis scenario, impending future opportunities, revenue growth, pricing profitability industry. Growth Analysis Report Onpremises Telecommunication AI Market size Industry Segment Applications, Type Regional Outlook, Market Demand, Latest Trends, Onpremises Telecommunication AI Industry Share Revenue Manufacturers, Company Profiles, Growth Forecasts 2026.Analyzes current market size upcoming years growth industry. The key players covered study: NVIDIA, Alphabet, Cisco Systems, IBM, Sentient Technologies, H2O.ai CLICK TO GET FREE COMPLETE REPORT OF ONPREMISES TELECOMMUNICATION AI WITH FULL TOC DESCRIPTION New vendors market facing tough competition established international vendors struggle technological innovations, reliability quality issues. The report answer questions current market developments scope competition, opportunity cost more. This report focuses global Onpremises Telecommunication AI status, future forecast, growth opportunity, key market key players. The study objectives present Onpremises Telecommunication AI development inUnited States, Europe, China, Japan, Southeast Asia, India, Central South America. TheOnpremises Telecommunication AImarket comprehensive report offers meticulous overview market share, size, trends, demand, product analysis, application analysis, regional outlook, competitive strategies, forecasts, strategies impacting Onpremises Telecommunication AI Industry. The report includes detailed analysis market competitive landscape, help detailed business profiles, SWOT analysis, project feasibility analysis, details key companies operating market. The study objectives report are: To study forecast market size ofOnpremises Telecommunication AIin global market. To analyze global key players, SWOT analysis, value global market share players. To define, forecast market type, end use region. To analyze compare market status forecast global major regions. To analyze global key regions market potential advantage, opportunity challenge, restraints risks. To identify significant trends factors driving inhibiting market growth. To analyze opportunities market stakeholders identifying high growth segments. To strategically analyze submarket respect individual growth trend contribution market To analyze competitive developments expansions, agreements, new product launches, acquisitions market. To strategically profile key players comprehensively analyze growth strategies. TO KNOW MORE ABOUT THIS REPORT Reasons Buying Report: ThisOnpremises Telecommunication AIMarket report provides pinpoint analysis changing competitive dynamics It provides forwardlooking perspective different factors driving restraining Market growth It provides sixyear forecast assessed basis Market predicted grow It helps understanding key product segments future It provides pin point analysis changing competition dynamics keeps ahead competitors It helps making informed business decisions complete insights Market making indepth analysis Market segments. Table Contents: Global Onpremises Telecommunication AI Market Size, Status Forecast 20202026 Chapter One: Report Overview Chapter Two: Global Growth Trends Chapter Three: Market Share Key Players Chapter Four: Breakdown Data Type Application Chapter Five: United States Chapter Six: Europe Chapter Seven: China Chapter Eight: Japan Chapter Nine: India Chapter Ten: Central South America Chapter Eleven: International Players Profiles Chapter Twelve: Market Forecast 20202026 Chapter Thirteen: Analysts ViewpointsConclusions : Market research new buzzword market, helps understanding market potential product market. Reports And Markets company domain veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis forecast data wide range sectors government private agencies world. Us: Sanjay Jain Manager Partner Relations International Marketing Ph: 13523530818 US Us Social Media: LinkedInFacebookTwitter TaggedOnpremises Telecommunication AIOnpremises Telecommunication AI ForecastOnpremises Telecommunication AI GrowthOnpremises Telecommunication AI MarketOnpremises Telecommunication AI Market AnalysisOnpremises Telecommunication AI Market ApplicationOnpremises Telecommunication AI Market OutlookOnpremises Telecommunication AI Market ReportOnpremises Telecommunication AI Market Research CompanyOnpremises Telecommunication AI Market SegmentationOnpremises Telecommunication AI Market StatusOnpremises Telecommunication AI Market TypesOnpremises Telecommunication AI PriceOnpremises Telecommunication AI ResearchOnpremises Telecommunication AI ShareOnpremises Telecommunication AI Trends Related Posts Alopecia Treatment Hair Loss Market Current Trends Technology Enhancements Top Players Dr. Reddys Laboratories Ltd., Regaine, Merck Co., , Ranbaxy Laboratories Ltd February 19, 2020 Global Biopharmaceutical Fourth Party Logistics Market Emerging Trends Prospects 2027 Leading Vendors: XPO Logistics, UPS Supply Chain Solutions, CEVA Logistics, Expeditors International February 19, 2020 Global Personalized Cancer Medicine Market, Top key players Abbott,Merck,Novartis,Amgen,Celgene,Bayer,Roche,Astellas,Astrazeneca,Johnson Johnson February 19, 2020 Post navigation Previous Article Alopecia Treatment Hair Loss Market Current Trends Technology Enhancements Top Players Dr. Reddys Laboratories Ltd., Regaine, Merck Co., , Ranbaxy Laboratories Ltd About [emailprotected] View posts [emailprotected] Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts Onpremises Telecommunication AI Market Report Enhancement By 2026 With Latest Technology Future Scope Alopecia Treatment Hair Loss Market Current Trends Technology Enhancements Top Players Dr. Reddys Laboratories Ltd., Regaine, Merck Co., , Ranbaxy Laboratories Ltd Global Biopharmaceutical Fourth Party Logistics Market Emerging Trends Prospects 2027 Leading Vendors: XPO Logistics, UPS Supply Chain Solutions, CEVA Logistics, Expeditors International Global Personalized Cancer Medicine Market, Top key players Abbott,Merck,Novartis,Amgen,Celgene,Bayer,Roche,Astellas,Astrazeneca,Johnson Johnson High Fructose Corn Syrup HFCS Market Impressive Gains including key players ADM, Cargill, Tate Lyle Founded 2K18,News Parentfocuses company news, research, andanalysis, moreimportantin recentlys uncertain investment environment. We provide comprehensive coverage mostimportantnews counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. 2020 News Parent. Powered WordPress HitMag. | 2,020 | [
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http://www.wifi.consumerelectronicsnet.com/one-tech-launches-edge-ai-strategy-with-enhancements-to-core-solutions/ | 2020-05-28T00:00:00 | en | ONE Tech Launches Edge AI Strategy with Enhancements to Core Solutions | | Consumer Electronics Net |
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ONE Tech Launches Edge AI Strategy with Enhancements to Core Solutions
3 hours ago
MicroAI™ and MicroAI™ Helio help organizations achieve deeper insights into device and equipment behavior
DALLAS–(BUSINESS WIRE)–ONE Tech, a global leader in edge AI technology, today announced its strategy to help organizations reduce operational inefficiencies, improve industrial production, and enhance security and privacy to IoT applications through an advanced portfolio of edge AI software solutions. The company’s award-winning MicroAI™ technology is used by enterprises and OEMs worldwide as a tool to achieve deeper insights into the behavior of devices, machines and processes within their organizations.
ONE Tech’s MicroAI is a sophisticated machine learning algorithm that lives directly on a targeted machine or IoT device and allows enterprises to eliminate unexpected downtimes associated with maintenance issues and cyberattacks. Unlike traditional AI solutions that originate or reside only in the cloud, MicroAI is configured and trained on the network edge. This enables real-time analytics and alerts that optimize asset performance, increase security and improve worker safety.
In a manufacturing environment, for example, there are thousands of sensors on hundreds of pieces of equipment that report in different data. Transferring all of that data to the cloud for processing and responsive action is time consuming, expensive and may compromise security. By training and processing at the edge, MicroAI eliminates those concerns.
ONE Tech has enhanced MicroAI with a new version called MicroAI Atom that runs directly on microcontroller unit (MCU)-based devices. This allows constrained compute devices to train and run AI models that they have not been able to run before. The result: deployments have lower associated hardware costs.
ONE Tech’s MicroAI™ Helio is ONE Tech’s Server that allows organizations to deploy MicroAI on multiple devices simultaneously, enabling performance benchmarking, health data visualizations, field service workflows and more. Helio is available in three tiers:
Helio: Allows benchmarking across an organization’s equipment and devices by networking all its data into a single MicroAI hub. Enables features such as Lifecycle Management, Warranty Compliance Tracking and AI-driven Predictive Maintenance.
Helio Advanced: Allows visualization across an organization’s equipment and device performance data on user friendly dashboards with built-in reporting capabilities. Enables additional features of Helio, and adds features including Device Management, Remote Monitoring and API Management, plus mobile access.
Helio Enterprise: Allows an enterprise to optimize how it services its assets. Organizations can build workflows and event triggers that empower dispatch and technician teams to better respond to operational events while simultaneously improving the customer experience. Enables additional features of Helio, and incorporates capabilities such as Automated Dispatch, Fleet/Technician Tracking, Customer Feedback Loops, Service Contract Management and Sales Enablement.
ONE Tech has enhanced Helio with new capabilities that allow users to take data processed at the network edge to the Helio Server to be aggregated with data from existing IT systems for further processing and analytics. This allows more comprehensive data analysis to understand root cause of issues, makes, models or types of assets that are causing the most downtime.
“With MicroAI and MicroAI Helio, ONE Tech is providing enterprises and OEMs unprecedented insights into their most valuable data, and doing so in a way that is cost-effective and secure,” said Yasser Khan, CEO of ONE Tech. “These enhancements make the MicroAI solution much more powerful as enterprises continue to adopt IoT to have greater control over their operations and grow their businesses.”
ONE Tech is an AI company with solutions that sit at the real network edge and help enterprises, OEMs, telcos and network operators significantly optimize the performance of their equipment, machines and devices while ensuring the security and privacy of their IoT environment.
For more information about MicroAI™ and MicroAI™ Helio, visit www.onetech.ai.
About ONE Tech
ONE Tech is redefining artificial intelligence at the network edge, delivering powerful edge AI and machine learning solutions that help enterprises and industrial companies achieve deeper insights into the behavior of machines and processes within their organization. ONE Tech’s MicroAI™ technology curates raw IoT data on the network edge rather than in the cloud, helping companies discern valuable data and quickly spot anomalies by triggering actionable insights and alerts. Devices are trained in the local environment, allowing for personalization while providing the highest levels of security and privacy. For more information, visit www.onetech.ai.
Contacts
Calysto Communications™ Contact:Justine Schneider
[email protected]: 404-266-2060, ext. 507
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| ONE Tech Launches Edge AI Strategy with Enhancements to Core Solutions | ONE Tech Launches Edge AI Strategy Enhancements Core Solutions Consumer Electronics Net Skip content Consumer Electronics Net Primary Menu Consumer Electronics Net for: HomeNewsONE Tech Launches Edge AI Strategy Enhancements Core Solutions News ONE Tech Launches Edge AI Strategy Enhancements Core Solutions 3 hours ago MicroAI MicroAI Helio help organizations achieve deeper insights device equipment behavior DALLASBUSINESS WIREONE Tech, global leader edge AI technology, today announced strategy help organizations reduce operational inefficiencies, improve industrial production, enhance security privacy IoT applications advanced portfolio edge AI software solutions. The companys awardwinning MicroAI technology enterprises OEMs worldwide tool achieve deeper insights behavior devices, machines processes organizations. ONE Techs MicroAI sophisticated machine learning algorithm lives directly targeted machine IoT device allows enterprises eliminate unexpected downtimes associated maintenance issues cyberattacks. Unlike traditional AI solutions originate reside cloud, MicroAI configured trained network edge. This enables realtime analytics alerts optimize asset performance, increase security improve worker safety. In manufacturing environment, example, thousands sensors hundreds pieces equipment report different data. Transferring data cloud processing responsive action time consuming, expensive compromise security. By training processing edge, MicroAI eliminates concerns. ONE Tech enhanced MicroAI new version called MicroAI Atom runs directly microcontroller unit MCUbased devices. This allows constrained compute devices train run AI models able run before. The result: deployments lower associated hardware costs. ONE Techs MicroAI Helio ONE Techs Server allows organizations deploy MicroAI multiple devices simultaneously, enabling performance benchmarking, health data visualizations, field service workflows more. Helio available tiers: Helio: Allows benchmarking organizations equipment devices networking data single MicroAI hub. Enables features Lifecycle Management, Warranty Compliance Tracking AIdriven Predictive Maintenance. Helio Advanced: Allows visualization organizations equipment device performance data user friendly dashboards builtin reporting capabilities. Enables additional features Helio, adds features including Device Management, Remote Monitoring API Management, plus mobile access. Helio Enterprise: Allows enterprise optimize services assets. Organizations build workflows event triggers empower dispatch technician teams better respond operational events simultaneously improving customer experience. Enables additional features Helio, incorporates capabilities Automated Dispatch, FleetTechnician Tracking, Customer Feedback Loops, Service Contract Management Sales Enablement. ONE Tech enhanced Helio new capabilities allow users data processed network edge Helio Server aggregated data existing IT systems processing analytics. This allows comprehensive data analysis understand root cause issues, makes, models types assets causing downtime. With MicroAI MicroAI Helio, ONE Tech providing enterprises OEMs unprecedented insights valuable data, way costeffective secure, said Yasser Khan, CEO ONE Tech. These enhancements MicroAI solution powerful enterprises continue adopt IoT greater control operations grow businesses. ONE Tech AI company solutions sit real network edge help enterprises, OEMs, telcos network operators significantly optimize performance equipment, machines devices ensuring security privacy IoT environment. For information MicroAI MicroAI Helio, visit About ONE Tech ONE Tech redefining artificial intelligence network edge, delivering powerful edge AI machine learning solutions help enterprises industrial companies achieve deeper insights behavior machines processes organization. ONE Techs MicroAI technology curates raw IoT data network edge cloud, helping companies discern valuable data quickly spot anomalies triggering actionable insights alerts. Devices trained local environment, allowing personalization providing highest levels security privacy. For information, visit Calysto Communications :Justine Schneider jschneider 4042662060, ext. 507 Continue Reading Previous ioXt Alliance Host Hardware Hacking Virtual ConferenceNext Nintendo Download: Really Feeling It for: CategoriesCategories Select Category 360 5G Accessories Apps Art Article articles Audio Autism Auto Automotive Autonomous Driving Autonomous Vehicles BluRay BLUE LIGHT Book Broadband Business Camera Car Tech CES CES Asia Charging Children Consumer Electronics Contracts Counterfeit Goods Cybersecurity DashCam Data Recovery DVD Earbuds eCommerce Education Electric Vehicles Energy Family Feature Finance Gadgets Gaming HDTV Health Home Tech Investment IoT iPhone IQS Lead Story Learning Mac Manufacturing Marketing Military NBN News Phishing Privacy Productivity Raid Retail Review Robotics Security Smart Devices Smart Homes Social Media SSD Storage Streaming Tablet Technology Uniform USB Video Games Video Surveillance VRAR Wearables Web Design Wireless Charger Video NewsEWin Cyber Monday Use code CEN 15 Ewin gaming chairs Partner SitesIT Business Net Digital Producer Magazine Digital Media Net Media Hub Consumer Electronics Net Broadcast Newsroom Health Technology Net ByteSteam Crypto Blockchain Free Digital Stock Photos You missed Consumer Electronics Razer Introduces Blade 15 Studio Edition Creators With New 8Core CPU Quadro RTX Graphics 47 mins ago News Low Dropout Regulator Diodes orporated Offers High PSRR Small Footprint NoiseSensitive Applications 2 hours ago News Ventev Partners Cisco IoT Design Program 2 hours ago News ONE Tech, . 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https://bulletinline.com/2020/09/05/global-legaltech-artificial-intelligence-market-2020-by-industry-volume-share-trends-opportunities-types-product-analysis-applications-and-forecast-report-2026/ | 2020-09-05T00:00:00 | en | Global LegalTech Artificial Intelligence Market 2020 by Industry Volume, Share, Trends, Opportunities, Types, Product Analysis, Applications and Forecast Report 2026. – Bulletin Line |
Global LegalTech Artificial Intelligence Market 2020 by Industry Volume, Share, Trends, Opportunities, Types, Product Analysis, Applications and Forecast Report 2026. – Bulletin Line
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Home2020September5Global LegalTech Artificial Intelligence Market 2020 by Industry Volume, Share, Trends, Opportunities, Types, Product Analysis, Applications and Forecast Report 2026.
Global LegalTech Artificial Intelligence Market 2020 by Industry Volume, Share, Trends, Opportunities, Types, Product Analysis, Applications and Forecast Report 2026.
Posted On: September 5, 2020
Posted By: alex
Comments: 0
Reportspedia announces a new report titled Global LegalTech Artificial Intelligence Market, which outlines the rationale standpoint of the unpretentious forces of the market. It announces the addition of another new dimension to this industry explaining the performance of the major players. The LegalTech Artificial Intelligence Market has also been segmented on the basis of the provincial players, out of which some are well established while some have newly entered the global market. These players have established actions such as research and development, determined to bring in new services that can efficiently compete with the other established players.
Get a sample of LegalTech Artificial Intelligence Market @
https://www.reportspedia.com/report/business-services/global-legaltech-artificial-intelligence-market-report-2020-by-key-players,-types,-applications,-countries,-market-size,-forecast-to-2026-(based-on-2020-covid-19-worldwide-spread)/70718#request_sample
Top Key Players:
Lawgeex
LEVERTON
Casetext Inc.
LexMachina
Legal Robot, Inc.
FiscalNote
Catalyst Repository Systems
eBREVIA
Ravel Law
Knomos Knowledge Management Inc.
Everlaw
Luminance Technologies Ltd.
Blue J Legal
Justia
Judicata
Loom Analytics
Geographically, the following regions are covered in this report:
United States, Canada, Germany, UK, France, Spain, Russia, Turkey, Switzerland, Sweden, Poland, Belgium, China, Japan, South Korea, Australia, India, Taiwan, Indonesia, Thailand, Philippines, Malaysia, Brazil, Mexico, Argentina, Columbia, Chile, Saudi Arabia, UAE, Egypt, Nigeria, South Africa and Rest of the World
The global “LegalTech Artificial Intelligence Market” report covers the market landscape and its growth over the upcoming years and discussion of the Prominent Companies effective in this market. This report has been organized based on a detailed market analysis with inputs from industry experts. The report delivers a 360-degree overview of the market, listing numerous factors limiting, driving the market during the forecast period.
Get a Huge discount on this LegalTech Artificial Intelligence Market Research Report:
https://www.reportspedia.com/discount_inquiry/discount/70718
LegalTech Artificial Intelligence Market Segment by Type:
Document Management System
E-Discovery
Practice and Case Management
E-Billing
Contract Management
IP-Management
Legal Research
Legal Analytics
Cyber Security
Predictive Technology
Compliance
LegalTech Artificial Intelligence Market Segment by Application:
Lawyers
Clients
The global LegalTech Artificial Intelligence Market is predicted to witness of enormous growth in the next six years. The growing level of competition among the players and the growing focus on the advance of new products are likely to offer promising growth during the prediction period. The research study on the global LegalTech Artificial Intelligence Market deals with a complete overview, highlighting the key aspects that are projected to surge the growth of the market in the near future.
Inquire Before Buying @:
https://www.reportspedia.com/report/business-services/global-legaltech-artificial-intelligence-market-report-2020-by-key-players,-types,-applications,-countries,-market-size,-forecast-to-2026-(based-on-2020-covid-19-worldwide-spread)/70718#inquiry_before_buying
Key Takeaways of the report
This LegalTech Artificial Intelligence report delivers in-depth analysis for affecting competitive dynamics
It provides a forward-looking outlook on market growth
It helps in understanding the key LegalTech Artificial Intelligence Market segments and their future
It delivers in-depth analysis of changing competition dynamics and keeps you ahead of competitors
It supports in making up-to-date business decisions by having comprehensive insights of market and by making in-depth analysis of LegalTech Artificial Intelligence Market segments
Some Points from Table of Contents
Global LegalTech Artificial Intelligence Market Insight and Forecast to 2026
Chapter 1 LegalTech Artificial Intelligence Market Report Overview
Chapter 2 Global Growth Trends
Chapter 3 Market Competition by Manufacturers
Chapter 4 LegalTech Artificial Intelligence by Regions
Chapter 5 LegalTech Artificial Intelligence by Region
Chapter 6 LegalTech Artificial Intelligence Market by Type (2020-2026)
Chapter 7 LegalTech Artificial Intelligence Market by Application (2020-2026)
strong>Chapter 8 Company Profiles and Key Figures in LegalTech Artificial Intelligence Business
Chapter 9 Production and Supply Forecast
Chapter 10 Marketing Channel, Distributors, and Customers
Chapter 11 Industry Trends and Advanced Strategy
Chapter 12 Conclusions
Chapter 13 Appendix
Get a Complete Table of Content, Just click on the below link @:
https://www.reportspedia.com/report/business-services/global-legaltech-artificial-intelligence-market-report-2020-by-key-players,-types,-applications,-countries,-market-size,-forecast-to-2026-(based-on-2020-covid-19-worldwide-spread)/70718#table_of_contents
Global LegalTech Artificial Intelligence MarketGlobal LegalTech Artificial Intelligence Market Analysis DemandGlobal LegalTech Artificial Intelligence Market CAGRGlobal LegalTech Artificial Intelligence Market DemandGlobal LegalTech Artificial Intelligence Market ForecastGlobal LegalTech Artificial Intelligence Market GrowthGlobal LegalTech Artificial Intelligence Market RevenueGlobal LegalTech Artificial Intelligence Market ShareGlobal LegalTech Artificial Intelligence Market SizeGlobal LegalTech Artificial Intelligence Market Survey
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| Global LegalTech Artificial Intelligence Market 2020 by Industry Volume, Share, Trends, Opportunities, Types, Product Analysis, Applications and Forecast Report 2026. | Global LegalTech Artificial Intelligence Market 2020 Industry Volume, Share, Trends, Opportunities, Types, Product Analysis, Applications Forecast Report 2026. Bulletin Line Bulletin Line Market Research Reports Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us Home2020September5Global LegalTech Artificial Intelligence Market 2020 Industry Volume, Share, Trends, Opportunities, Types, Product Analysis, Applications Forecast Report 2026. Global LegalTech Artificial Intelligence Market 2020 Industry Volume, Share, Trends, Opportunities, Types, Product Analysis, Applications Forecast Report 2026. Posted On: September 5, 2020 Posted By: alex Comments: 0 Reportspedia announces new report titled GlobalLegalTech Artificial Intelligence Market, outlines rationale standpoint unpretentious forces market. It announces addition new dimension industry explaining performance major players. The LegalTech Artificial Intelligence Market segmented basis provincial players, established newly entered global market. These players established actions research development, determined bring new services efficiently compete established players. Get sample LegalTech Artificial Intelligence Market @ Top Key Players: Lawgeex LEVERTON Casetext . LexMachina Legal Robot, . FiscalNote Catalyst Repository Systems eBREVIA Ravel Law Knomos Knowledge Management . Everlaw Luminance Technologies Ltd. Blue J Legal Justia Judicata Loom Analytics Geographically, following regions covered report: United States, Canada, Germany, UK, France, Spain, Russia, Turkey, Switzerland, Sweden, Poland, Belgium, China, Japan, South Korea, Australia, India, Taiwan, Indonesia, Thailand, Philippines, Malaysia, Brazil, Mexico, Argentina, Columbia, Chile, Saudi Arabia, UAE, Egypt, Nigeria, South Africa Rest World The global LegalTech Artificial Intelligence Market report covers market landscape growth upcoming years discussion Prominent Companies effective market. This report organized based detailed market analysis inputs industry experts. The report delivers 360degree overview market, listing numerous factors limiting, driving market forecast period. Get Huge discount LegalTech Artificial Intelligence Market Research Report: LegalTech Artificial Intelligence Market Segment Type: Document Management System EDiscovery Practice Case Management EBilling Contract Management IPManagement Legal Research Legal Analytics Cyber Security Predictive Technology Compliance LegalTech Artificial Intelligence Market Segment Application: Lawyers Clients The global LegalTech Artificial Intelligence Market predicted witness enormous growth years. The growing level competition players growing focus advance new products likely offer promising growth prediction period. The research study global LegalTech Artificial Intelligence Market deals complete overview, highlighting key aspects projected surge growth market near future. Inquire Before Buying Key Takeaways report This LegalTech Artificial Intelligence report delivers indepth analysis affecting competitive dynamics It provides forwardlooking outlook market growth It helps understanding key LegalTech Artificial Intelligence Market segments future It delivers indepth analysis changing competition dynamics keeps ahead competitors It supports making uptodate business decisions comprehensive insights market making indepth analysis LegalTech Artificial Intelligence Market segments Some Points Table Contents Global LegalTech Artificial Intelligence Market Insight Forecast 2026 Chapter 1LegalTech Artificial Intelligence Market Report Overview Chapter 2Global Growth Trends Chapter 3Market Competition Manufacturers Chapter 4LegalTech Artificial Intelligence Regions Chapter 5LegalTech Artificial Intelligence Region Chapter 6LegalTech Artificial Intelligence Market Type 20202026 Chapter 7LegalTech Artificial Intelligence Market Application 20202026 strong>Chapter 8Company Profiles Key Figures LegalTech Artificial Intelligence Business Chapter 9Production Supply Forecast Chapter 10 Marketing Channel, Distributors, Customers Chapter 11 Industry Trends Advanced Strategy Chapter 12Conclusions Chapter 13Appendix Get Complete Table Content, Just click link Global LegalTech Artificial Intelligence MarketGlobal LegalTech Artificial Intelligence Market Analysis DemandGlobal LegalTech Artificial Intelligence Market CAGRGlobal LegalTech Artificial Intelligence Market DemandGlobal LegalTech Artificial Intelligence Market ForecastGlobal LegalTech Artificial Intelligence Market GrowthGlobal LegalTech Artificial Intelligence Market RevenueGlobal LegalTech Artificial Intelligence Market ShareGlobal LegalTech Artificial Intelligence Market SizeGlobal LegalTech Artificial Intelligence Market Survey Post navigation Prev PostNext Post News About usHome Us Know Our Staff Policies Editorial Policy Use Bulletin Line Everestthemes | 2,020 | [
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https://xconomy.com/boston/2020/10/14/roche-enlists-dyno-to-bring-ai-to-next-generation-liver-cns-gene-therapies/ | 2020-10-14T00:00:00 | en | Xconomy: Roche Enlists Dyno to Bring AI to Next-Generation Liver, CNS Gene Therapies | Xconomy: Roche Enlists Dyno to Bring AI to Next-Generation Liver, CNS Gene Therapies XconomyNewsOur RegionsTopic ChannelsOur EventsXconomy InsightXconomy’s Digital Events → Want Xconomy news sent to you daily? Roche Enlists Dyno to Bring AI to Next-Generation Liver, CNS Gene Therapies Frank Vinluan October 14th, 2020 @frankvinluan@xconomyLike Us Xconomy
Boston — Roche made a splash with its acquisition of Spark Therapeutics, whose Luxturna, a gene therapy for an inherited form of vision loss, was the first such therapy to win FDA approval. Now the Swiss pharmaceutical giant is looking to bolster its capabilities in liver and central nervous system (CNS) disorder gene therapies and it’s turning to Dyno Therapeutics to help.Dyno, a two-year-old startup based in Cambridge, MA, has never brought a gene therapy to the market, nor does it currently have its own drug pipeline. What it does have is a platform technology for engineering the viruses that ferry gene therapies to their cellular targets. Going further, it can design the capsids, the protein shells of these viruses that envelop a gene therapy and deliver it into the cells of a target organ or tissue in the body.Roche sees enough promise in the Dyno technology to pay the Harvard University spinout a bit of cash now and a potentially a lot more later. The companies aren’t disclosing the amount of the upfront payment or how many therapies are covered under the partnership announced Wednesday. But depending on the progress of the therapies, they say Dyno’s milestone payments could top $1.8 billion.Gene therapies that have reached the market so far, such as Luxturna and Zolgensma, a Novartis (NYSE: NVS) treatment for spinal muscular atrophy, are delivered by engineered adeno-associated (AAV) viruses. But AAV capsids, as they’re found in nature, have limitations, says Eric Kelsic, Dyno’s CEO. Some of them aren’t suited for delivery to certain tissues. Others may spark an interaction with the immune system.There are ways to engineer capsids to make them better suited for a particular cellular target or disease. But Kelsic says improving one property of a capsid can have the effect of altering another one, potentially rendering the capsid ineffective. Dyno aims to improve on capsid design by applying machine-learning techniques and artificial intelligence technology to the process. The biotech automates analysis of data from experiments involving AAV capsids, looking for patterns. The technology screens hundreds of thousands of capsids at one time, looking for desirable properties, such as its ability to target specific tissue, payload capacity, interactions with the immune system, deliverability, and manufacturing. The more data the system analyzes, the better it gets.“Each experiment is learning from everything we’ve done before,” Kelsic says.In addition to analyzing how a capsid is delivered to a target cell, the technology also analyzes where else in the body it goes. That information helps Dyno learn about potential off-target effects of the therapy. Dyno calls its technology CapsidMap. Kelsic says the company aims to build an map that shows which capsids are best suited for particular diseases, as well as which capsids are best for addressing particular cells or organs. Dyno was an Xconomy Awards 2020 winner in the “Startup of the Year” category. Kelsic talks about his company’s technology in this video (Dyno’s portion starts at 3:47)The information provided by Dyno’s technology guides the company’s design of a capsid tailor-made for a disease. In CNS disorders, for example, a gene therapy would require a capsid that targets delivery of its genetic payload to neurons, Kelsic says. For liver disorders or disorders that can be addressed by the production of proteins in the liver, a gene therapy would need to target the cells of that organ. More effective and efficient deliverly of a gene therapy to target cells nor only helps patients, it also makes gene therapy production more cost effective.“If you improve delivery, efficiency, it means you can treat the same patient just as well but at a much lower dose,” Kelsic says. “It’s a safer, better tolerated, potentially longer-lasting therapy. And because it’s a lower dose, you can treat more patients per batch.”Spark Therapeutics’s Luxturna won FDA approval in 2017. Two years later, Roche acquired Spark for $4.8 billion. In addition to other eye disorders, the Spark pipeline spans liver diseases and CNS disorders. The most advanced Spark program, SPK-8011, is expected to enter Phase 3 development next year for hemophilia A. The drug is in development under a partnership with Pfizer (NYSE: PFE).Though the Roche alliance with Dyno calls for the startup to use its technology to design capsids for CNS and liver gene therapies, the companies aren’t specifying which diseases are covered by the pact. Dyno will use its technology to design capsids and Roche will supply the genetic payloads that they will carry. Roche will handle preclinical and clinical development of the gene therapy candidates, as well as commercialization if they’re approved.The structure of the deal is similar to alliances with Novartis (NYSE: NVS) and Sarepta Therapeutics (NASDAQ: SRPT) that Dyno unveiled in May, when the startup emerged from stealth. The Novartis pact is focused on gene therapies for eye diseases while the Sarepta agreement aims to develop therapies for muscle disorders.One thing that Dyno does not yet have is an internal pipeline of gene therapy candidates. Kelsic says his company has been focused on building its technology. He won’t rule out Dyno pursuing its own gene therapies in the future, but he says that the company is also looking for more partners that can help take the company’s technology to more diseases in more parts of the body.Image: iStock/tupungato Want more Xconomy content? Subscribe today for free newsletters, event and webinar alerts, whitepapers, podcasts, and more. Frank Vinluan is an Xconomy editor based in Research Triangle Park. You can reach him at [email protected]. Follow @frankvinluan Share on Facebook Share on Twitter LinkedIn Email ReprintsTrending on XconomyBiogen’s Ehlers Leaving for Apple Tree, Steps Into Limelight as CEOBeam Therapeutics Preps IPO and Sheds Light on Its Gene-Editing DrugsESMO 2019: PARP and Prostate, SeaGen’s Win, KRAS Update & More X Net@50 Join us on July 16 for a special two-part gathering that will take a unique and critical look at the Internet today, and where it is heading. Register Now!Underwriters and Partners Xconomy Insight Sponsored · Webinar Sept. 15 – Challenges of Implementing Innovation in Drug Discovery & DevelopmentPhenotypic Screening & Profiling to Understand a Compound's Disease Impact Eurofins Discovery From Our Editors · Podcast Xcelerating Life Sciences Philadelphia: The Highlights PodcastBecoming the Cell & Gene Therapy Hub Sponsored · Whitepaper Navigating Challenges & Advancing Clinical Development: A Toolkit for Emerging BiotechsHow incorporating more virtual/hybrid trials and decentralized research into clinical development can better integrate healthcare into patients’ real lives and accelerate approval of new medications. Medpace Xconomy on Demand We offer a number of ways to subscribe for free! Subscribe Now HomePrivacy PolicySecurity DisclosuresAboutContact UsArchivesAdvertiseSubscribe for Free© 2007-2020, Xconomy, Inc.
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All rights reserved. | Xconomy: Roche Enlists Dyno to Bring AI to Next-Generation Liver, CNS Gene Therapies | Xconomy: Roche Enlists Dyno Bring AI NextGeneration Liver, CNS Gene Therapies XconomyNewsOur RegionsTopic ChannelsOur EventsXconomy InsightXconomys Digital Events Want Xconomy news sent daily? Roche Enlists Dyno Bring AI NextGeneration Liver, CNS Gene Therapies Frank Vinluan October 14th, 2020 Us Xconomy Boston Roche splash acquisition Spark Therapeutics, Luxturna, gene therapy inherited form vision loss, therapy win FDA approval. Now Swiss pharmaceutical giant looking bolster capabilities liver central nervous CNS disorder gene therapies turning Dyno Therapeutics help.Dyno, twoyearold startup based Cambridge, MA, brought gene therapy market, currently drug pipeline. What platform technology engineering viruses ferry gene therapies cellular targets. Going further, design capsids, protein shells viruses envelop gene therapy deliver cells target organ tissue body.Roche sees promise Dyno technology pay Harvard University spinout bit cash potentially lot later. The companies arent disclosing upfront payment therapies covered partnership announced Wednesday. But depending progress therapies, Dynos milestone payments 1.8 billion.Gene therapies reached market far, Luxturna Zolgensma, Novartis NYSE: NVS treatment spinal muscular atrophy, delivered engineered adenoassociated AAV viruses. But AAV capsids, theyre nature, limitations, says Eric Kelsic, Dynos CEO. Some arent suited delivery certain tissues. Others spark interaction immune system.There ways engineer capsids better suited particular cellular target disease. But Kelsic says improving property capsid effect altering one, potentially rendering capsid ineffective. Dyno aims improve capsid design applying machinelearning techniques artificial intelligence technology process. The biotech automates analysis data experiments involving AAV capsids, looking patterns. The technology screens hundreds thousands capsids time, looking desirable properties, ability target specific tissue, payload capacity, interactions immune system, deliverability, manufacturing. The data analyzes, better gets.Each experiment learning weve before, Kelsic says.In addition analyzing capsid delivered target cell, technology analyzes body goes. That information helps Dyno learn potential offtarget effects therapy. Dyno calls technology CapsidMap. Kelsic says company aims build map shows capsids best suited particular diseases, capsids best addressing particular cells organs. Dyno Xconomy Awards 2020 winner Startup Year category. Kelsic talks companys technology video Dynos portion starts 3:47The information provided Dynos technology guides companys design capsid tailormade disease. In CNS disorders, example, gene therapy require capsid targets delivery genetic payload neurons, Kelsic says. For liver disorders disorders addressed production proteins liver, gene therapy need target cells organ. More effective efficient deliverly gene therapy target cells helps patients, makes gene therapy production cost effective.If improve delivery, efficiency, means treat patient lower dose, Kelsic says. Its safer, better tolerated, potentially longerlasting therapy. And lower dose, treat patients batch.Spark Therapeuticss Luxturna FDA approval 2017. Two years later, Roche acquired Spark 4.8 billion. In addition eye disorders, Spark pipeline spans liver diseases CNS disorders. The advanced Spark program, SPK8011, expected enter Phase 3 development year hemophilia A. The drug development partnership Pfizer NYSE: PFE.Though Roche alliance Dyno calls startup use technology design capsids CNS liver gene therapies, companies arent specifying diseases covered pact. Dyno use technology design capsids Roche supply genetic payloads carry. Roche handle preclinical clinical development gene therapy candidates, commercialization theyre approved.The structure deal similar alliances Novartis NYSE: NVS Sarepta Therapeutics NASDAQ: SRPT Dyno unveiled May, startup emerged stealth. The Novartis pact focused gene therapies eye diseases Sarepta agreement aims develop therapies muscle disorders.One thing Dyno internal pipeline gene therapy candidates. Kelsic says company focused building technology. He wont rule Dyno pursuing gene therapies future, says company looking partners help companys technology diseases parts body.Image: iStocktupungatoWant Xconomy content? today free newsletters, event webinar alerts, whitepapers, podcasts, more. Frank Vinluan Xconomy editor based Research Triangle Park. You reach fvinluan Follow Share Facebook Share Twitter LinkedIn Email ReprintsTrending XconomyBiogens Ehlers Leaving Apple Tree, Steps Into Limelight CEOBeam Therapeutics Preps IPO Sheds Light Its GeneEditing DrugsESMO 2019: PARP Prostate, SeaGens Win, KRAS Update More X Net Join July 16 special twopart gathering unique critical look Internet today, heading. NowUnderwriters Partners Xconomy Insight Sponsored Webinar Sept. 15 Challenges Implementing Innovation Drug Discovery DevelopmentPhenotypic Screening Profiling Understand Compounds Disease Impact Eurofins Discovery From Our Editors Podcast Xcelerating Life Sciences Philadelphia: The Highlights PodcastBecoming Cell Gene Therapy Hub Sponsored Whitepaper Navigating Challenges Advancing Clinical Development: A Toolkit Emerging BiotechsHow incorporating virtualhybrid trials decentralized research clinical development better integrate healthcare patients real lives accelerate approval new medications. Medpace Xconomy Demand We offer number ways subscribe free Now HomeSecurity DisclosuresAbout UsArchivesAdvertise Free 20072020, Xconomy, . Xconomy registered service mark Xconomy, . . | 2,020 | [
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https://www.financialexpress.com/lifestyle/health/federated-learning-ai-to-speed-brain-tumour-diagnosis/1958429/ | 2020-05-14T00:00:00 | en | Federated learning: AI to speed brain tumour diagnosis - The Financial Express | Federated learning: AI to speed brain tumour diagnosis - The Financial Express HomeMarketsStocksIndustryEconomyMoneyAutoInfraSME BrandwagonIndiaHINDI MORE MARKET STATS Top GainersTop LosersMutual FundsEquity FundsDebt FundsHybrid FundsNew Fund OfferGold FundsOnly BuyersOnly SellersVolume ToppersValue ToppersAdvances/Declines52 Weeks High/LowPrice ShockersVolume Shockers Federated learning: AI to speed brain tumour diagnosisBy: FE Bureau | Published: May 14, 2020 8:43:59 AMPenn Medicine, Intel developing new AI approach to detecting brain tumoursAccording to the American Brain Tumour Association (ABTA), nearly 80,000 people will be diagnosed with a brain tumour this year, with more than 4,600 being children.Intel Labs and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) are co-developing a technology to enable a federation of 29 international healthcare and research institutions led by Penn Medicine to train artificial intelligence (AI) models that identify brain tumours using a privacy-preserving technique called federated learning.How it works: Penn Medicine and 29 healthcare and research institutions from the United States, Canada, the United Kingdom, Germany, the Netherlands, Switzerland and India will use federated learning, which is a distributed machine learning approach that enables organisations to collaborate on deep learning projects without sharing patient data. Penn Medicine and Intel Labs were the first to publish a paper on federated learning in the medical imaging domain, particularly demonstrating that the federated learning method could train a model to over 99% of the accuracy of a model trained in the traditional, non-private method. The new work will leverage Intel software and hardware to implement federated learning such that it offers privacy protection to both the model and the data.Related NewsCoronavirus Live Updates: Lockdown 4 guidelines expected soon; 47,480 active COVID-19 cases, 24,385 curedCOVID-19 treatment: 9 hospitals approved to join WHO's Solidarity TrialCOVID-19: Novel coronavirus may infect human intestines as well, says studyWhy it matters: According to the American Brain Tumour Association (ABTA), nearly 80,000 people will be diagnosed with a brain tumour this year, with more than 4,600 being children. In order to train and build a model to detect a brain tumour that could aid in early detection and better outcomes, researchers need access to large amounts of relevant medical data. However, it is essential that the data remain private and protected, which is where federated learning with Intel technology comes in.What’s next: In 2020, Penn and the 29 international healthcare and research institutions will use Intel’s federated learning hardware and software to produce a new state-of-the-art AI model that is trained on the largest brain tumor dataset to date – all without sensitive patient data leaving the individual collaborators. The subset of collaborating institutions expected to participate in initiating the first phase of this federation includes the Hospital of the University of Pennsylvania, Washington University in St. Louis, the University of Pittsburgh Medical Center, Vanderbilt University, Queen’s University, Technical University of Munich, University of Bern, King’s College London and Tata Memorial Hospital.Get live Stock Prices from BSE and NSE and latest NAV, portfolio of Mutual Funds, calculate your tax by Income Tax Calculator, know market’s Top Gainers, Top Losers & Best Equity Funds. Like us on Facebook and follow us on Twitter.Financial Express is now on Telegram. Click here to join our channel and stay updated with the latest Biz news and updates.HomeLIFESTYLEHEALTHFederated learning AI to speed brain tumour diagnosisAdvertisement Stock MarketMost ReadMarket LIVE: SGX Nifty falls 150 pts on weak global cues; NBFCs in focus post FM Sitharaman's Rs 30k cr supportCoronavirus Live Updates: Lockdown 4 guidelines expected soon; 47,480 active COVID-19 cases, 24,385 curedEPF contribution cut, take-home pay to riseSpurring credit flows central to first tranche of stimulus packageLoans sanctioned but many borrowers want disbursement after lockdown: FM Nirmala SitharamanWork from home dynamics: How WFH will change the Indian IT workplaceEscaping the economic dangers of Covid-19WhatsApp’s payments system: Supreme Court seeks replies from finance ministry, NPCI, RBIHow to avoid a W-shaped recessionAarogya Setu: Govt must take responsibility for protection of personal information collectedAdvertisementBudget 2020Budget 2020 hasn't violated fiscal discipline: FM SitharamanBudget 2020 was disappointing for lacking vision; but fiscal, taxation measures welcome: EAC-PM member Ashima GoyalBudget 2020: FM Nirmala Sitharaman says govt willing to do more beyond Union Budget to boost growthBudget 2020: FM says green shoots of recovery visible, points at worse macro-economic fundamentals under UPA Budget and the economy: What can we expect after this Budget?Budget 2020: FM Sitharaman takes on P Chidambaram over defence budget allocationBudget 2020 proposals on DDT, personal tax not to impact MF industry: Franklin TempletonBudget 2020: Chidambaram slams Modi govt; says economy close to collapse, unemployment making India poorerBudget 2020: How ESOP tax changes will benefit start-up employeesEconomic Survey 2020: Fudging food and fertiliser subsidyAdvertisement Switch to Hindi Edition HomeMarkets MarketsCafeinvestCommoditiesIpo NewsStocksEconomyTechAutoIndustryIndustryBanking & FinanceTechnologySME/Start-upsJobsEducationMutual FundsMoneyMoneyInsuranceIncome TaxInfrastructureInfrastructureRailwaysAviationRoadwaysIndiaReal EstateSportsLifestyleLifestyleTravel & TourismHealthScienceFrom The PrintInternationalEdits & ColumnsOpinionFE 360PoliticsEconomyPersonal FinanceFront PageFE InsightFE@campusBrand WagonToday’s PaperePaperPhotosVideosHoroscopeArchiveNewsCompanies, Stock QuotesNext Stories1Coronavirus Live Updates: Lockdown 4 guidelines expected soon; 47,480 active COVID-19 cases, 24,385 cured2COVID-19 treatment: 9 hospitals approved to join WHO’s Solidarity Trial3COVID-19: Novel coronavirus may infect human intestines as well, says studySwitch to Hindi EditionStay connectedMobile AppsTop TrendingNirmala Sitharaman press conference Live updatesCoronavirus Live UpdatesShare Market LIVEIRCTC Trains ListLiquor Sale During LockdownHome Quarantine GuidelineRBI Bonds Vs Tax-Free BondsLatest NewsIndia NewsMARKET NEWSSTOCK QUOTESIndustryTechnologyMoneyInfrastructureAutoEconomyPOPULAR CATEGORIESJobsSMEMUTUAL FUNDSRailwaysBrand WagonIncome TaxHealthScienceIFSC CODEFE ExplainedCash Reserve RatioForm-16Fiscal Policy of IndiaReverse Repo RateRevenue DeficitGDPInterim BudgetCessCustoms DutyQuick LinksFE HindiPAN CARDAADHAAR CARDPassport-VisaInsuranceWorld NewsEntertainmentTravel & TourismAirlines/AviationMoreTAX CALCULATOREpaperPhoto GalleryVideosOpinionCommoditiesDefenceBanking & FinanceToday's PaperTop NSE/BSE Companies Share PriceYes Bank Share PriceReliance Industries Share PriceState Bank of India Share PriceTata Motors Share PriceHDFC Bank Share PriceInfosys Share PriceICICI Bank Share PriceTata Consultancy Services Share PriceITC Share PriceBajaj Finance Share PriceMaruti Suzuki India Share PriceTata Steel Share PriceBajaj Finserv Share PriceLarsen and Toubro Share PriceIndusind Bank Share PriceSun Pharmaceutical Industries Share PriceBharat Petroleum Corporation Share PriceTitan Company Share PriceIndian Oil Corporation Share PriceAxis Bank Share PricePopular Banks IFSC CodeSBI Bank IFSC CodeHDFC Bank IFSC CodeICICI Bank IFSC CodeAxis Bank IFSC CodeCanara Bank IFSC CodeBank of Baroda IFSC CodeIndian Bank IFSC CodePNB Bank IFSC CodeBank of India IFSC CodeKotak Mahindra Bank IFSC CodeUnion Bank of India IFSC CodeCentral Bank of India IFSC CodeIDBI Bank IFSC CodeIndian Overseas Bank IFSC CodeYes Bank IFSC CodeIndian Express Group The Indian ExpressLoksattaJansattainUthRamnath Goenka AwardsIE TamilIE MalayalamIE BanglaAdvertise withusFeedbackSitemapPrivacy PolicyContact UsCopyright ©
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All Rights Reserved | Federated learning: AI to speed brain tumour diagnosis | Federated learning: AI speed brain tumour diagnosis The Financial Express HomeMarketsStocksIndustryEconomyMoneyAutoInfraSME BrandwagonIndiaHINDI MORE MARKET STATS Top GainersTop LosersMutual FundsEquity FundsDebt FundsHybrid FundsNew Fund OfferGold FundsOnly BuyersOnly SellersVolume ToppersValue ToppersAdvancesDeclines52 Weeks HighLowPrice ShockersVolume Shockers Federated learning: AI speed brain tumourdiagnosisBy: FE Bureau Published: May 14, 2020 8:43:59 AMPenn Medicine, Intel developing new AI approach detecting brain tumoursAccording American Brain Tumour Association ABTA, nearly 80,000 people diagnosed brain tumour year, 4,600 children.Intel Labs Perelman School Medicine University Pennsylvania Penn Medicine codeveloping technology enable federation 29 international healthcare research institutions led Penn Medicine train artificial intelligence AI models identify brain tumours privacypreserving technique called federated learning.How works: Penn Medicine 29 healthcare research institutions United States, Canada, United Kingdom, Germany, Netherlands, Switzerland India use federated learning, distributed machine learning approach enables organisations collaborate deep learning projects sharing patient data. Penn Medicine Intel Labs publish paper federated learning medical imaging domain, particularly demonstrating federated learning method train model 99 accuracy model trained traditional, nonprivate method. The new work leverage Intel software hardware implement federated learning offers privacy protection model data.Related NewsCoronavirus Live Updates: Lockdown 4 guidelines expected soon; 47,480 active COVID19 cases, 24,385 curedCOVID19 treatment: 9 hospitals approved join WHOs Solidarity TrialCOVID19: Novel coronavirus infect human intestines well, says studyWhy matters: According American Brain Tumour Association ABTA, nearly 80,000 people diagnosed brain tumour year, 4,600 children. In order train build model detect brain tumour aid early detection better outcomes, researchers need access large amounts relevant medical data. However, essential data remain private protected, federated learning Intel technology comes in.Whats next: In 2020, Penn 29 international healthcare research institutions use Intels federated learning hardware software produce new stateoftheart AI model trained largest brain tumor dataset date sensitive patient data leaving individual collaborators. The subset collaborating institutions expected participate initiating phase federation includes Hospital University Pennsylvania, Washington University St. Louis, University Pittsburgh Medical Center, Vanderbilt University, Queens University, Technical University Munich, University Bern, Kings College London Tata Memorial Hospital.Get live Stock Prices BSE NSE latest NAV, portfolio Mutual Funds, calculate tax ome Tax Calculator, know markets Top Gainers, Top Losers Best Equity Funds. Like Facebook follow Twitter.Financial Express Telegram. Click join channel stay updated latest Biz news updates.HomeLIFESTYLEHEALTHFederated learning AI speed brain tumournbspdiagnosisAdvertisementStock MarketMost ReadMarket LIVE: SGX Nifty falls 150 pts weak global cues; NBFCs focus post FM Sitharamans Rs 30k cr supportCoronavirus Live Updates: Lockdown 4 guidelines expected soon; 47,480 active COVID19 cases, 24,385 curedEPF contribution cut, takehome pay riseSpurring credit flows central tranche stimulus packageLoans sanctioned borrowers want disbursement lockdown: FM Nirmala SitharamanWork home dynamics: How WFH change Indian IT workplaceEscaping economic dangers Covid19WhatsApps payments system: Supreme Court seeks replies finance ministry, NPCI, RBIHow avoid Wshaped recessionAarogya Setu: Govt responsibility protection personal information collectedAdvertisementBudget 2020Budget 2020 violated fiscal discipline: FM SitharamanBudget 2020 disappointing lacking vision; fiscal, taxation measures welcome: EACPM member Ashima GoyalBudget 2020: FM Nirmala Sitharaman says govt willing Union Budget boost growthBudget 2020: FM says green shootsof recovery visible, points worse macroeconomicfundamentals UPABudget economy: What expect Budget?Budget 2020: FM Sitharaman takes P Chidambaram defence budget allocationBudget 2020 proposals DDT, personal tax impact MF industry: Franklin TempletonBudget 2020: Chidambaram slams Modi govt; says economy close collapse, unemployment making India poorerBudget 2020: How ESOP tax changes benefit startup employeesEconomic Survey 2020: Fudging food fertiliser subsidyAdvertisement Switch Hindi Edition HomeMarkets MarketsCafeinvestCommoditiesIpo NewsStocksEconomyTechAutoIndustryIndustryBanking FinanceTechnologySMEStartupsJobsEducationMutual FundsMoneyMoneyInsuranceome TaxInfrastructureInfrastructureRailwaysAviationRoadwaysIndiaReal EstateSportsLifestyleLifestyleTravel TourismHealthScienceFrom The PrintInternationalEdits ColumnsOpinionFE 360PoliticsEconomyPersonal FinanceFront PageFE InsightFE WagonTodays PaperePaperPhotosVideosHoroscopeArchiveNewsCompanies, Stock QuotesNext Stories1Coronavirus Live Updates: Lockdown 4 guidelines expected soon; 47,480 active COVID19 cases, 24,385cured2COVID19 treatment: 9 hospitals approved join WHOs SolidarityTrial3COVID19: Novel coronavirus infect human intestines well, saysstudySwitch Hindi EditionStay connectedMobile AppsTop TrendingNirmala Sitharaman press conference Live updatesCoronavirus Live UpdatesShare Market LIVEIRCTC Trains ListLiquor Sale During LockdownHome Quarantine GuidelineRBI Bonds Vs TaxFree BondsLatest NewsIndia NewsMARKET NEWSSTOCK QUOTESIndustryTechnologyMoneyInfrastructureAutoEconomyPOPULAR CATEGORIESJobsSMEMUTUAL FUNDSRailwaysBrand Wagonome TaxHealthScienceIFSC CODEFE ExplainedCash Reserve RatioForm16Fiscal Policy IndiaReverse Repo RateRevenue DeficitGDPInterim BudgetCessCustoms DutyQuick LinksFE HindiPAN CARDAADHAAR CARDPassportVisaInsuranceWorld NewsEntertainmentTravel TourismAirlinesAviationMoreTAX CALCULATOREpaperPhoto GalleryVideosOpinionCommoditiesDefenceBanking FinanceTodays PaperTop NSEBSE Companies Share PriceYes Bank Share PriceReliance Industries Share PriceState Bank India Share PriceTata Motors Share PriceHDFC Bank Share PriceInfosys Share PriceICICI Bank Share PriceTata Consultancy Services Share PriceITC Share PriceBajaj Finance Share PriceMaruti Suzuki India Share PriceTata Steel Share PriceBajaj Finserv Share PriceLarsen Toubro Share PriceIndusind Bank Share PriceSun Pharmaceutical Industries Share PriceBharat Petroleum Corporation Share PriceTitan Company Share PriceIndian Oil Corporation Share PriceAxis Bank Share PricePopular Banks IFSC CodeSBI Bank IFSC CodeHDFC Bank IFSC CodeICICI Bank IFSC CodeAxis Bank IFSC CodeCanara Bank IFSC CodeBank Baroda IFSC CodeIndian Bank IFSC CodePNB Bank IFSC CodeBank India IFSC CodeKotak Mahindra Bank IFSC CodeUnion Bank India IFSC CodeCentral Bank India IFSC CodeIDBI Bank IFSC CodeIndian Overseas Bank IFSC CodeYes Bank IFSC CodeIndian Express Group The Indian ExpressLoksattaJansattainUthRamnath Goenka AwardsIE TamilIE MalayalamIE BanglaAdvertise withusFeedbackSitemap Us The Indian Express [P] Ltd. | 2,020 | [
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https://www.prnewswire.com:443/news-releases/digital-diagnostics-formerly-idx-expands-global-impact-of-healthcare-autonomous-ai-with-acquisition-of-3derm-systems-inc-301115054.html | 2020-08-19T00:00:00 | en | Digital Diagnostics, formerly IDx, Expands Global Impact of Healthcare Autonomous AI with Acquisition of 3Derm Systems, Inc. |
Digital Diagnostics, formerly IDx, Expands Global Impact of Healthcare Autonomous AI with Acquisition of 3Derm Systems, Inc.
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Digital Diagnostics, formerly IDx, Expands Global Impact of Healthcare Autonomous AI with Acquisition of 3Derm Systems, Inc.
The Digital Diagnostics platform now holds the intellectual property for two key autonomous AI technologies focused on democratizing healthcare
News provided by
Digital Diagnostics Inc.
Aug 19, 2020, 13:30 ET
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CORALVILLE, Iowa, Aug. 19, 2020 /PRNewswire/ -- Healthcare access and inequity challenges have been exacerbated by the COVID-19 pandemic; members of at-risk populations around the world are increasingly delaying important specialist care. Today Digital Diagnostics Inc., a pioneering global healthcare autonomous artificial intelligence (AI) company formerly known as IDx, announces it has acquired 3Derm Systems, Inc. of Boston, MA. This acquisition makes Digital Diagnostics the global leader in healthcare autonomous AI, where it is the sole holder of autonomous AI healthcare systems that are De Novo authorized by the U.S. Food & Drug Administration (FDA), enabling the company to close more care gaps widened by COVID-19.
Autonomous AI: Increasing Access to Specialty CareThis acquisition is an important milestone in the effort to use autonomous AI to improve healthcare quality, lower costs and reduce the suffering caused by disease progression. In "autonomous AI," it is the computer, not the clinician, making the medical decisions, enabling patients to obtain diagnoses for serious conditions when and where they receive medical care. Obtaining an instantaneous diagnosis from frontline care physicians and other providers leads to better outcomes for patients, especially those from underserved populations.
The rebrand of IDx to Digital Diagnostics reflects its expanded platform of autonomous AI products in multiple medical specialties. The company's flagship product, IDx-DR, was the first autonomous AI system De Novo authorized by the FDA in any field of medicine; it diagnoses diabetic retinopathy and diabetic macular edema. With the acquisition of 3Derm, the Digital Diagnostics platform will immediately include telemedicine capabilities for dermatology, 3DermTriage,™ in preparation for FDA authorization of its autonomous AI skin cancer diagnostic system, 3DermSpot™.
"There is too much needless suffering from treatable illnesses, and this happens more in populations that do not have equitable access to healthcare, and particularly to specialist physicians," observed Michael Abramoff, MD, PhD, founder and executive chairman of Digital Diagnostics. "Our autonomous systems allow frontline care providers to instantaneously diagnose serious conditions, refer patients who need specialist treatment faster, and improve long-term patient outcomes."
How It Works: Instantaneous Diagnosis at the Front Line of CareDigital Diagnostics was founded in 2010 by Dr. Abramoff, a practicing, fellowship-trained retina specialist ophthalmologist, neuroscientist and computer engineer who developed a unique, patented biomarker-based approach to build AI algorithms that perform cognitively complex tasks. These algorithms are integrated into easy-to-use systems that can make instantaneous clinical decisions in which the computer makes the medical decision. To make instantaneous diagnoses, both IDx-DR and 3DermSpot use high quality images of the eyes and skin coupled with autonomous AI; the system is operated by existing primary care clinic staff.
Digital Diagnostics products are in use by the largest and most prestigious health systems in the U.S. and globally. The company works closely with patient advocacy groups, federal regulators, and other quality of care and ethics-focused stakeholders to enable adoption of autonomous AI. Milestones include:
February 2018: IDx-DR receives Breakthrough Device designation from FDA.
April 2018: First time FDA issues De Novo authorization for an autonomous AI, IDx-DR, in any field of medicine.
June 2018: CMS introduces temporary bridge coding, CPT® code 92250-TC, for autonomous AI.
May 2019: CPT® Editorial Panel creates the first CPT® category 1 code for autonomous AI, 9225X.
December 2019: American Diabetes Association updates its Standard of Diabetes Care to include autonomous AI for the diabetic eye exam.
January 2020: 3DermSpot receives Breakthrough Device designation from FDA.
July 2020: NCQA updates HEDIS to support the use of autonomous AI for closing the diabetic eye exam care gap.
August 2020: For the first time, U.S. CMS announces Medicare will pay for autonomous AI.
August 2020: Digital Diagnostics acquires 3Derm Systems, clearing the path toward 3DermSpot availability in EMEA markets.
IDx-DR is present in 17 global markets, including:
The Netherlands: Now used in multiple practices, it hosted the first implementation of IDx-DR worldwide, under the Class IIa CE-mark.
Poland: An entire voivodeship (province) diagnoses its diabetes population with IDx-DR.
Austria: IDx-DR is deployed in multiple diabetes outpatient clinics in Vienna. Digital Diagnostics is working with a prominent university to obtain national reimbursement for IDx-DR.
Germany: Digital Diagnostics completed a pilot and is working with insurance companies to introduce IDx-DR as a reimbursable healthcare service.
Emerging markets also include United Arab Emirates (UAE) and Saudi Arabia (KSA).
Bangladesh: Orbis International and Digital Diagnostics are working to evaluate how autonomous AI can improve productivity for eye health professionals to prevent avoidable blindness.
"By using Digital Diagnostics' autonomous AI platform, 3DermSpot decreases the time it takes to put their life saving device in the hands of frontline care providers," said John Bertrand, CEO, Digital Diagnostics. "Expanding the specialties our products cover allows our customers to use our platform as their one stop shop for autonomous AI diagnostics at the point-of-care."
"By working with primary care physicians and other healthcare providers, we will reach more people and diagnose diseases sooner, closing care gaps for at risk patients," observed Seth Rainford, President and COO, Digital Diagnostics. "This allows specialists to practice at the top of their license to prevent blindness and treat skin cancer."
"Improving access and empowering frontline care providers was core to our mission at 3Derm," said Liz Asai, former CEO & Co-Founder, 3Derm Systems, Inc. and now VP of Dermatology, Digital Diagnostics. "We are thrilled to continue our work as part of a larger organization focused on doing AI the right way, and that offers a broad commercial platform."
Healthcare Autonomous AI the Right WayDigital Diagnostics is committed to autonomous AI the right way: with an unwavering focus on improving patient outcomes, safety, efficacy and equity. The company has worked collaboratively within the healthcare and regulatory systems of multiple countries, including U.S. federal agencies, to accelerate the acceptance and adoption of ethical, evidence-based, autonomous AI. Digital Diagnostics adheres to the principles of autonomy, justice, and non-maleficence. This approach assumes legal liability for the autonomous AI performance; practices strong transparent stewardship of patient data; is designed and validated for equity, and focuses on improving clinical outcomes.
Media ContactNicole Stenclik: 716-226-6989 or [email protected] Patricia Agos: 773-758-5044 or [email protected]More information: dxs.ai/news
SOURCE Digital Diagnostics Inc.
Related Links https://dxs.ai
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| Digital Diagnostics, formerly IDx, Expands Global Impact of Healthcare Autonomous AI with Acquisition of 3Derm Systems, Inc. | Digital Diagnostics, IDx, Expands Global Impact Healthcare Autonomous AI Acquisition 3Derm Systems, . Resources Blog Journalists Log In Sign Up Data Privacy Send Release News Products ing content... No results found. Please change search terms try again. 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Journalists RSS GDPR General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Send Release Sign Up Log In Resources Blog Journalists RSS GDPR Digital Diagnostics, IDx, Expands Global Impact Healthcare Autonomous AI Acquisition 3Derm Systems, . The Digital Diagnostics platform holds intellectual property key autonomous AI technologies focused democratizing healthcare News provided Digital Diagnostics . Aug 19, 2020, 13:30 ET Share article CORALVILLE, Iowa, Aug. 19, 2020 PRNewswire Healthcare access inequity challenges exacerbated COVID19 pandemic; members atrisk populations world increasingly delaying important specialist care. Today Digital Diagnostics ., pioneering global healthcare autonomous artificial intelligence AI company known IDx, announces acquired 3Derm Systems, . Boston, MA. This acquisition makes Digital Diagnostics global leader healthcare autonomous AI, sole holder autonomous AI healthcare systems De Novo authorized U.S. Food Drug Administration FDA, enabling company close care gaps widened COVID19. Autonomous AI: reasing Access Specialty CareThis acquisition important milestone effort use autonomous AI improve healthcare quality, lower costs reduce suffering caused disease progression. In autonomous AI, computer, clinician, making medical decisions, enabling patients obtain diagnoses conditions receive medical care. Obtaining instantaneous diagnosis frontline care physicians providers leads better outcomes patients, especially underserved populations. The rebrand IDx Digital Diagnostics reflects expanded platform autonomous AI products multiple medical specialties. The companys flagship product, IDxDR, autonomous AI De Novo authorized FDA field medicine; diagnoses diabetic retinopathy diabetic macular edema. With acquisition 3Derm, Digital Diagnostics platform immediately include telemedicine capabilities dermatology, 3DermTriage, preparation FDA authorization autonomous AI skin cancer diagnostic system, 3DermSpot. There needless suffering treatable illnesses, happens populations equitable access healthcare, particularly specialist physicians, observed Michael Abramoff, MD, PhD, founder executive chairman Digital Diagnostics. Our autonomous systems allow frontline care providers instantaneously diagnose conditions, refer patients need specialist treatment faster, improve longterm patient outcomes. How It Works: Instantaneous Diagnosis Front Line CareDigital Diagnostics founded 2010 Dr. Abramoff, practicing, fellowshiptrained retina specialist ophthalmologist, neuroscientist engineerwho developed unique, patented biomarkerbased approach build AI algorithms perform cognitively complex tasks.These algorithms integrated easytouse systems canmake instantaneous clinical decisionsin makes medical decision. To instantaneous diagnoses, IDxDR and3DermSpot use high quality images eyes skin coupled autonomous AI; operated existing primary care clinic staff. Digital Diagnostics products use largest prestigious health systems U.S. globally. The company works closely patient advocacy groups, federal regulators, quality care ethicsfocused stakeholders enable adoption autonomous AI. Milestones include: February 2018:IDxDR receives Breakthrough Device designation FDA. April 2018:First time FDA issues De Novo authorization autonomous AI, IDxDR, field medicine. June 2018:CMS introduces temporary bridge coding, CPT code 92250TC, autonomous AI. May 2019:CPT Editorial Panel creates CPT category 1 code autonomous AI, 9225X. December 2019:American Diabetes Association updates Standard Diabetes Care include autonomous AI diabetic eye exam. January 2020: 3DermSpot receives Breakthrough Device designation FDA. July 2020:NCQA updates HEDIS support use autonomous AI closing diabetic eye exam care gap. August 2020:For time, U.S. CMS announces Medicare pay autonomous AI. August 2020: Digital Diagnostics acquires 3Derm Systems, clearing path 3DermSpot availability EMEA markets. IDxDR present 17 global markets, including: The Netherlands: Now multiple practices, hosted implementation IDxDR worldwide, Class IIa CEmark. Poland: An entire voivodeship province diagnoses diabetes population IDxDR. Austria: IDxDR deployed multiple diabetes outpatient clinics Vienna. Digital Diagnostics working prominent university obtain national reimbursement IDxDR. Germany: Digital Diagnostics completed pilot working insurance companies introduce IDxDR reimbursable healthcare service. Emerging markets include United Arab Emirates UAE Saudi Arabia KSA. Bangladesh: Orbis International Digital Diagnostics working evaluate autonomous AI improve productivity eye health professionals prevent avoidable blindness. By Digital Diagnostics autonomous AI platform, 3DermSpot decreases time takes life saving device hands frontline care providers, said John Bertrand, CEO, Digital Diagnostics. Expanding specialties products cover allows customers use platform stop shop autonomous AI diagnostics pointofcare. By working primary care physicians healthcare providers, reach people diagnose diseases sooner, closing care gaps risk patients, observed Seth Rainford, President COO, Digital Diagnostics. This allows specialists practice license prevent blindness treat skin cancer. Improving access empowering frontline care providers core mission 3Derm, said Liz Asai, CEO CoFounder, 3Derm Systems, . VP Dermatology, Digital Diagnostics. We thrilled continue work larger organization focused AI right way, offers broad commercial platform. Healthcare Autonomous AI Right WayDigital Diagnostics committed autonomous AI right way: unwavering focus improving patient outcomes, safety, efficacy equity. The company worked collaboratively healthcare regulatory systems multiple countries, including U.S. federal agencies, accelerate acceptance adoption ethical, evidencebased, autonomous AI. Digital Diagnostics adheres principles autonomy, justice, nonmaleficence. This approach assumes legal liability autonomous AI performance; practices strong transparent stewardship patient data; designed validated equity, focuses improving clinical outcomes. Media Nicole Stenclik: 7162266989 [emailprotected] Patricia Agos: 7737585044 [emailprotected]More information: dxs.ainews SOURCE Digital Diagnostics . Related Links Modal title PR Newswire 8887760942 8 AM 9 PM ET Chat Expert Us General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Products Cision Communication Cloud For Marketers For Public Relations For IR Compliance For Agency For Small Business All Products About About PR Newswire About Cision Become Publishing Partner Become Channel Partner Careers COVID19 Resources Global Sites Asia Brazil Canada Czech Denmark Finland France Germany India Israel Italy Mexico Middle East Netherlands Norway Poland Portugal Russia Slovakia Spain Sweden United Kingdom My Services All New Releases Online Member Center ProfNet Service Mark My Services All News Releases Online Member Center ProfNet 8887760942 8 AM 10 PM ET Terms Use Information Security Policy Site Map RSS Settings 2020 PR Newswire Association LLC. . A Cision company. | 2,020 | [
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] | 1 | POSITIVE | 287 |
https://bulletinline.com/2020/10/04/recent-studies-of-global-artificial-intelligence-as-a-service-market-forecast-says-healthy-pick-up-in-cagr-by-2020-2027-companies-like-ibm-google-amazon-web-services-microsoft-salesforce/ | 2020-10-04T00:00:00 | en | Recent Studies of Global Artificial Intelligence as a Service Market Forecast says Healthy Pick Up in CAGR By 2020-2027 | Companies like IBM, Google, Amazon Web Services, Microsoft, Salesforce – Bulletin Line |
Recent Studies of Global Artificial Intelligence as a Service Market Forecast says Healthy Pick Up in CAGR By 2020-2027 | Companies like IBM, Google, Amazon Web Services, Microsoft, Salesforce – Bulletin Line
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Recent Studies of Global Artificial Intelligence as a Service Market Forecast says Healthy Pick Up in CAGR By 2020-2027 | Companies like IBM, Google, Amazon Web Services, Microsoft, Salesforce
Post author
By ashutoshdubecmr
Post date
October 4, 2020
Global Coronavirus pandemic has impacted all industries across the globe, Artificial Intelligence as a Service market being no exception. As Global economy heads towards major recession post 2009 crisis, Cognitive Market Research has published a recent study which meticulously studies impact of this crisis on Global Artificial Intelligence as a Service market and suggests possible measures to curtail them. This press release is a snapshot of research study and further information can be gathered by accessing complete report. To Contact Research Advisor Mail us @ [email protected] or call us on +1-312-376-8303.
The Artificial Intelligence as a Service market consists of historical data & forecast data from the year 2015- 2027. The global Artificial Intelligence as a Service market report study provides intelligence studies ensuring relevant and fact-based research which help clients understand the significance and impact of market dynamics. The report on Artificial Intelligence as a Service market is also provides, details of the company covered, SWOT analysis, and PESTEL, Porter’s five forces, and product life cycle.
On the basis of type the global Artificial Intelligence as a Service market can be segmented into IBM, Google, Amazon Web Services, Microsoft, Salesforce, FICO, SAS Institute, Intel, SAP, IRIS AI, Bigml, H2o.AI, Absolutdata, Fuzzy.AI, Vital AI, Rainbird Technologies, Craft.AI, Sift Science, Mighty.AI, Cognitive Scale, Centurysoft, Yottamine Analytics, Datarobot, Meya.AI, Market segment by Regions/Countries this report covers, North America, Europe, China, Rest of Asia Pacific, Central & South America, Middle East & Africa, Market segment by Type the product can be split into, Machine Learning (ML) and Deep Learning, Natural Language Processing (NLP) . The application segments covered under this study includes BFSI, Healthcare and Life Sciences, Retail, Telecommunications, Government and defense, Manufacturing, Energy, Others .Developments in technology with respect to its manufacturing process and are expected to lead to new applications of market during the forecast period.
Any query? Enquire Here For Discount (COVID-19 Impact Analysis Updated Sample): Click Here—>
Download Sample Report of Artificial Intelligence as a Service Market Report 2020 (Coronavirus Impact Analysis on Artificial Intelligence as a Service Market)
some of the key players are focusing on strategies such as new product development and acquisitions & mergers to increase their market presence. Key players operating in the market are IBM, Google, Amazon Web Services, Microsoft, Salesforce, FICO, SAS Institute, Intel, SAP, IRIS AI, Bigml, H2o.AI, Absolutdata, Fuzzy.AI, Vital AI, Rainbird Technologies, Craft.AI, Sift Science, Mighty.AI, Cognitive Scale, Centurysoft, Yottamine Analytics, Datarobot, Meya.AI . The report additionally delivers detailed information of the key players (company profile, business overview, business strategy, product description, company revenue, SWOT analysis & other relevant information).
Request Free Sample Copy of Artificial Intelligence as a Service Market Research [email protected] https://cognitivemarketresearch.com/service–software/artificial-intelligence-as-a-service-market-report#download_report
Impact Of Covid-19 On The Market
• The coronavirus has negatively affected the global economy and subsequent shrinking of the GDP in global economies, thereby changing consumer spending behaviour.
• The supply chain got interrupted due to decrease in workforce and restrictions on manufacturing operations that led to a shortage in key components required in automotive manufacturing.
• Overall, decline in manufacturing output as a result of partial operations and shortage of workforce & raw materials is further expected to have negative impact on market.
• The impact of COVID-19 hit both the demand and supply sides of the technology industry.
In addition, report offers various other parameters that helps to understand the Artificial Intelligence as a Service market to take wise decisions. It includes industrial dynamics, such as drivers, restraints, opportunities, and threats. Further, it provides PESTLE analysis with detailed information to give better understanding. The report covers manufacturing process, supply chain analysis, and cost analysis. Each and every region and segment has been described regarding their consumption of Artificial Intelligence as a Service product. It provides its revenue generation from year 2015 to 2027. Further, report offers Porters analysis to give detailed view on report.
Regional Analysis for Artificial Intelligence as a Service Market:
• North America (United States, Canada)
• Europe (Germany, Spain, France, UK, Russia, and Italy)
• Asia-Pacific (China, Japan, India, Australia, and South Korea)
• Latin America (Brazil, Mexico, etc.)
• The Middle East and Africa (GCC and South Africa)
Get A Free Sample of Artificial Intelligence as a Service Market Report: https://cognitivemarketresearch.com/service–software/artificial-intelligence-as-a-service-market-report#download_report
Conclusion:
To summarize this report of Artificial Intelligence as a Service Market, it contains key geographies holding maximum share and key segments, market landscapes alongside the product price, revenue, volume, production, supply, demand, market growth rate, and forecast, etc. This report also provides SWOT analysis, investment feasibility analysis, and investment return analysis.
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| Recent Studies of Global Artificial Intelligence as a Service Market Forecast says Healthy Pick Up in CAGR By 2020-2027 | Recent Studies Global Artificial Intelligence Service Market Forecast says Healthy Pick Up CAGR By 20202027 Companies like IBM, Google, Amazon Web Services, Microsoft, Salesforce Bulletin Line Skip content Bulletin LineMarket Research Reports Menu Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us for: Close search Close Menu Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us Categories U.S. Recent Studies Global Artificial Intelligence Service Market Forecast says Healthy Pick Up CAGR By 20202027 Companies like IBM, Google, Amazon Web Services, Microsoft, Salesforce Post author By ashutoshdubecmr Post date October 4, 2020 Global Coronavirus pandemic impacted industries globe, Artificial Intelligence Service market exception. As Global economy heads major recession post 2009 crisis, Cognitive Market Research published recent study meticulously studies impact crisis Global Artificial Intelligence Service market suggests possible measures curtail them. This press release snapshot research study information gathered accessing complete report. To Research Advisor Mail @ [emailprotected] 13123768303. The Artificial Intelligence Service market consists historical data forecast data year 2015 2027. The global Artificial Intelligence Service market report study provides intelligence studies ensuring relevant factbased research help clients understand significance impact market dynamics. The report Artificial Intelligence Service market provides, details company covered, SWOT analysis, PESTEL, Porters forces, product life cycle. On basis type global Artificial Intelligence Service market segmented IBM, Google, Amazon Web Services, Microsoft, Salesforce, FICO, SAS Institute, Intel, SAP, IRIS AI, Bigml, H2o.AI, Absolutdata, Fuzzy.AI, Vital AI, Rainbird Technologies, Craft.AI, Sift Science, Mighty.AI, Cognitive Scale, Centurysoft, Yottamine Analytics, Datarobot, Meya.AI, Market segment RegionsCountries report covers, North America, Europe, China, Rest Asia Pacific, Central South America, Middle East Africa, Market segment Type product split into, Machine Learning ML Deep Learning, Natural Language Processing NLP . The application segments covered study includes BFSI, Healthcare Life Sciences, Retail, Telecommunications, Government defense, Manufacturing, Energy, Others .Developments technology respect manufacturing process expected lead new applications market forecast period. Any query? Enquire Here For Discount COVID19 Impact Analysis Updated Sample: Click Here> Download Sample Report Artificial Intelligence Service Market Report 2020 Coronavirus Impact Analysis Artificial Intelligence Service Market key players focusing strategies new product development acquisitions mergers increase market presence. Key players operating market IBM, Google, Amazon Web Services, Microsoft, Salesforce, FICO, SAS Institute, Intel, SAP, IRIS AI, Bigml, H2o.AI, Absolutdata, Fuzzy.AI, Vital AI, Rainbird Technologies, Craft.AI, Sift Science, Mighty.AI, Cognitive Scale, Centurysoft, Yottamine Analytics, Datarobot, Meya.AI . The report additionally delivers detailed information key players company profile, business overview, business strategy, product description, company revenue, SWOT analysis relevant information. Request Free Sample Copy Artificial Intelligence Service Market Research [emailprotected] Impact Of Covid19 On The Market The coronavirus negatively affected global economy subsequent shrinking GDP global economies, changing consumer spending behaviour. The supply chain got interrupted decrease workforce restrictions manufacturing operations led shortage key components required automotive manufacturing. Overall, decline manufacturing output result partial operations shortage workforce raw materials expected negative impact market. The impact COVID19 hit demand supply sides technology industry. In addition, report offers parameters helps understand Artificial Intelligence Service market wise decisions. It includes industrial dynamics, drivers, restraints, opportunities, threats. Further, provides PESTLE analysis detailed information better understanding. The report covers manufacturing process, supply chain analysis, cost analysis. Each region segment described consumption Artificial Intelligence Service product. It provides revenue generation year 2015 2027. Further, report offers Porters analysis detailed view report. Regional Analysis Artificial Intelligence Service Market: North America United States, Canada Europe Germany, Spain, France, UK, Russia, Italy AsiaPacific China, Japan, India, Australia, South Korea Latin America Brazil, Mexico, etc. The Middle East Africa GCC South Africa Get A Free Sample Artificial Intelligence Service Market Report: Conclusion: To summarize report Artificial Intelligence Service Market, contains key geographies holding maximum share key segments, market landscapes alongside product price, revenue, volume, production, supply, demand, market growth rate, forecast, etc. This report provides SWOT analysis, investment feasibility analysis, investment return analysis. : Cognitive Market Research finest efficient Market Research Consulting firm. The company strives provide research studies include syndicate research, customized research, round clock assistance service, monthly subscription services, consulting services clients. We focus making sure based reports, clients enabled vital business decisions easiest effective way. Hence, committed delivering outcomes market intelligence studies based relevant factbased research global market. Us: 13123768303 Email: [emailprotected] Web: Whats Changing Fraud Analytics Market SizeAnalysis Key Companies IBM, FICO, Oracle, SAS Institute, Dell EMC News for: Recent Posts Recent Studies Global Artificial Intelligence Service Market Forecast says Healthy Pick Up CAGR By 20202027 Companies like IBM, Google, Amazon Web Services, Microsoft, Salesforce Whats Changing Fraud Analytics Market SizeAnalysis Key Companies IBM, FICO, Oracle, SAS Institute, Dell EMC Kyrgyzstan Power Market 2020 Industry Analysis, By Key Players, Segmentation, Trends Forecast By gyzstan2026 Global Asia Pacific Proactive Security Market Witness Huge Growth 2020 Top Players included report IBM, Cisco, Symantec, Fireeye, Mcafee COVID 19 Impact Global Continuous Integration Tools Market ReportTop Manufacturers like IBM, Atlassian, Red Hat, Broadcom, Puppet About usHome Us Know Our Staff Policies Editorial Policy Use 2020 Bulletin Line Powered WordPress To Up | 2,020 | [
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https://redhillcouncillors.co.uk/uncategorised/13280/artificial-intelligence-ai-in-cyber-security-market-2020-industry-demand-opportunity-growth-factors-gross-margin-major-company-analysis-and-forecast-till-2026/ | 2020-04-22T00:00:00 | en | Artificial Intelligence (AI) in Cyber Security Market 2020 Industry Demand, Opportunity, Growth Factors, Gross Margin, Major Company Analysis and Forecast till 2026 – Redhill Market Analytics |
Artificial Intelligence (AI) in Cyber Security Market 2020 Industry Demand, Opportunity, Growth Factors, Gross Margin, Major Company Analysis and Forecast till 2026 – Redhill Market Analytics
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HomeUncategorisedArtificial Intelligence (AI) in Cyber Security Market 2020 Industry Demand, Opportunity, Growth Factors, Gross Margin, Major Company Analysis and Forecast till 2026
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Artificial Intelligence (AI) in Cyber Security Market 2020 Industry Demand, Opportunity, Growth Factors, Gross Margin, Major Company Analysis and Forecast till 2026
3 hours ago
[email protected]
Global Artificial Intelligence (AI) in Cyber Security Industry 2020 Market Research Report 2026 represents the historical overview of current Market situation, size, share, trends, growth, outlook and manufacturers with detailed analysis. This in-depth market report, which is updated every year, provides all you need to know about the global Artificial Intelligence (AI) in Cyber Security market. The report includes the market volumes for Artificial Intelligence (AI) in Cyber Security present and latest news and updates about the market situation. Its vast repository provides analytical overview of market that will help to new and existing players to take important decision.
Get Sample Copy of this Report – https://www.orianresearch.com/request-sample/1472824
Global Artificial Intelligence (AI) in Cyber Security Market: Drivers and Restrains
The research report has incorporated the analysis of different factors that augment the market’s growth. It constitutes trends, restraints, and drivers that transform the market in either a positive or negative manner. This section also provides the scope of different segments and applications that can potentially influence the market in the future. The detailed information is based on current trends and historic milestones. This section also provides an analysis of the volume of production about the global market and also about each type from 2015 to 2026. This section mentions the volume of production by region from 2015 to 2026. Pricing analysis is included in the report according to each type from the year 2015 to 2026, manufacturer from 2015 to 2020, region from 2015 to 2020, and global price from 2015 to 2026.
Global Artificial Intelligence (AI) in Cyber Security Market: Competitive Landscape
This section of the report identifies various key manufacturers of the market. It helps the reader understand the strategies and collaborations that players are focusing on combat competition in the market. The comprehensive report provides a significant microscopic look at the market. The reader can identify the footprints of the manufacturers by knowing about the global revenue of manufacturers, the global price of manufacturers, and production by manufacturers during the forecast period of 2015 to 2019.
The major players in the market include
BAE Systems, Cisco, Fortinet, FireEye, Check Point, IBM, RSA Security, Symantec, Juniper Network and Palo Alto Networks
…
A thorough evaluation of the restrains included in the report portrays the contrast to drivers and gives room for strategic planning. Factors that overshadow the market growth are pivotal as they can be understood to devise different bends for getting hold of the lucrative opportunities that are present in the ever-growing market. Additionally, insights into market expert’s opinions have been taken to understand the market better.
Market Segment Analysis
The research report includes specific segments by Type and by Application. Each type provides information about the production during the forecast period of 2015 to 2026. Application segment also provides consumption during the forecast period of 2015 to 2026. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
Segment by Type
Machine LearningNatural Language ProcessingOther
Segment by Application
BFSIGovernmentIT & TelecomHealthcareAerospace and DefenseOther
Order a copy of Global Artificial Intelligence (AI) in Cyber Security Market Report @ https://www.orianresearch.com/checkout/1472676
Global Artificial Intelligence (AI) in Cyber Security Market: Regional Analysis
The report offers in-depth assessment of the growth and other aspects of the Artificial Intelligence (AI) in Cyber Security market in important regions, including the U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, Taiwan, Southeast Asia, Mexico, and Brazil, etc. Key regions covered in the report are North America, Europe, Asia-Pacific and Latin America.
The report has been curated after observing and studying various factors that determine regional growth such as economic, environmental, social, technological, and political status of the particular region. Analysts have studied the data of revenue, production, and manufacturers of each region. This section analyses region-wise revenue and volume for the forecast period of 2015 to 2026. These analyses will help the reader to understand the potential worth of investment in a particular region.
Table of Contents
1 Artificial Intelligence (AI) in Cyber Security Market Overview
2 Market Competition by Manufacturers
3 Production Capacity by Region
4 Global Artificial Intelligence (AI) in Cyber Security Consumption by Regions
5 Production, Revenue, Price Trend by Type
6 Global Artificial Intelligence (AI) in Cyber Security Market Analysis by Application
7 Company Profiles and Key Figures in Artificial Intelligence (AI) in Cyber Security Business
8 Artificial Intelligence (AI) in Cyber Security Manufacturing Cost Analysis
9 Marketing Channel, Distributors and Customers
10 Market Dynamics
11 Production and Supply Forecast
12 Consumption and Demand Fprecast
13 Forecast by Type and by Application (2021-2026)
14 Reseach Finding and Conclusion
15 Methodology and Data Source
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| Artificial Intelligence (AI) in Cyber Security Market 2020 Industry Demand, Opportunity, Growth Factors, Gross Margin, Major Company Analysis and Forecast till 2026 | Artificial Intelligence AI Cyber Security Market 2020 Industry Demand, Opportunity, Growth Factors, Gross Margin, Major Company Analysis Forecast till 2026 Redhill Market Analytics Skip content Redhill Market Analytics Redhill Research Primary Menu Redhill Market Analytics Main news Market Research Industry Analysis Industry Research Market Analysis Market Outlook Market Report for: HomeUncategorisedArtificial Intelligence AI Cyber Security Market 2020 Industry Demand, Opportunity, Growth Factors, Gross Margin, Major Company Analysis Forecast till 2026 Uncategorised Artificial Intelligence AI Cyber Security Market 2020 Industry Demand, Opportunity, Growth Factors, Gross Margin, Major Company Analysis Forecast till 2026 3 hours ago [emailprotected] Global Artificial Intelligence AI Cyber Security Industry 2020 Market Research Report 2026 represents historical overview current Market situation, size, share, trends, growth, outlook manufacturers detailed analysis. This indepth market report, updated year, provides need know global Artificial Intelligence AI Cyber Security market. The report includes market volumes Artificial Intelligence AI Cyber Security present latest news updates market situation. Its vast repository provides analytical overview market help new existing players important decision. Get Sample Copy Report Global Artificial Intelligence AI Cyber Security Market: Drivers Restrains The research report incorporated analysis different factors augment markets growth. It constitutes trends, restraints, drivers transform market positive negative manner. This section provides scope different segments applications potentially influence market future. The detailed information based current trends historic milestones. This section provides analysis volume production global market type 2015 2026. This section mentions volume production region 2015 2026. Pricing analysis included report according type year 2015 2026, manufacturer 2015 2020, region 2015 2020, global price 2015 2026. Global Artificial Intelligence AI Cyber Security Market: Competitive Landscape This section report identifies key manufacturers market. It helps reader understand strategies collaborations players focusing combat competition market. The comprehensive report provides significant microscopic look market. The reader identify footprints manufacturers knowing global revenue manufacturers, global price manufacturers, production manufacturers forecast period 2015 2019. The major players market include BAE Systems, Cisco, Fortinet, FireEye, Check Point, IBM, RSA Security, Symantec, Juniper Network Palo Alto Networks A thorough evaluation restrains included report portrays contrast drivers gives room strategic planning. Factors overshadow market growth pivotal understood devise different bends getting hold lucrative opportunities present evergrowing market. Additionally, insights market experts opinions taken understand market better. Market Segment Analysis The research report includes specific segments Type Application. Each type provides information production forecast period 2015 2026. Application segment provides consumption forecast period 2015 2026. Understanding segments helps identifying importance different factors aid market growth. Segment Type Machine LearningNatural Language ProcessingOther Segment Application BFSIGovernmentIT TelecomHealthcareAerospace DefenseOther Order copy Global Artificial Intelligence AI Cyber Security Market Report @ Global Artificial Intelligence AI Cyber Security Market: Regional Analysis The report offers indepth assessment growth aspects Artificial Intelligence AI Cyber Security market important regions, including U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, Taiwan, Southeast Asia, Mexico, Brazil, etc. Key regions covered report North America, Europe, AsiaPacific Latin America. The report curated observing studying factors determine regional growth economic, environmental, social, technological, political status particular region. Analysts studied data revenue, production, manufacturers region. This section analyses regionwise revenue volume forecast period 2015 2026. These analyses help reader understand potential worth investment particular region. Table Contents 1 Artificial Intelligence AI Cyber Security Market Overview 2 Market Competition Manufacturers 3 Production Capacity Region 4 Global Artificial Intelligence AI Cyber Security Consumption Regions 5 Production, Revenue, Price Trend Type 6 Global Artificial Intelligence AI Cyber Security Market Analysis Application 7 Company Profiles Key Figures Artificial Intelligence AI Cyber Security Business 8 Artificial Intelligence AI Cyber Security Manufacturing Cost Analysis 9 Marketing Channel, Distributors Customers 10 Market Dynamics 11 Production Supply Forecast 12 Consumption Demand Fprecast 13 Forecast Type Application 20212026 14 Reseach Finding Conclusion 15 Methodology Data Source Orian Research comprehensive collections market intelligence reports World Wide Web. Our reports repository boasts 500000 Industry country research reports 100 publishers. 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https://themediahq.com/using-artificial-intelligence-to-enrich-digital-maps/ | 2020-01-25T00:00:00 | en | Using artificial intelligence to enrich digital maps - The Media HQ |
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Home Tech Using artificial intelligence to enrich digital maps
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Using artificial intelligence to enrich digital maps
By John Haas - January 24, 2020 135
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An AI model developed at MIT and the Qatar Computing Research Institute that uses only satellite images to automatically tag digital maps could improve GPS navigation, especially in countries with limited map data. Credit Cards: Google Maps / MIT News
A model invented by researchers at MIT and the Qatar Institute of Computer Computing Research (QCRI), which uses satellite imagery to map route features on digital maps, could help improve GPS navigation.
Guides that show more details about their routes can often help them navigate unfamiliar locations. The number of lanes, for example, may allow a GPS system to warn drivers of differences in lanes or lane mergers. Incorporating parking information can help drivers plan ahead, and bike lane mapping can help cyclists negotiate busy city streets. Providing up-to-date information on road conditions can also improve disaster planning.
But creating detailed maps is a costly and time-consuming process mainly done by large companies, such as Google, which sends vehicles around cameras stuck in their hoods to capture videos and pictures of the streets of an area. By combining this with other data, you can create accurate, up-to-date maps. Because this process is expensive, however, some parts of the world are ignored.
One solution is to release machine learning models into satellite images – which are easier to obtain and updated fairly regularly – to automatically add route features. But roads can be blocked, for example, by trees and buildings, making it a difficult task. In a paper presented at the Union for the Promotion of Artificial Intelligence, MIT and QCRI researchers describe “RoadTagger”, which uses a combination of architectural neural networks to automatically predict the number of lanes and types of roadblocks. .
When testing RoadTagger on blocked roads from 20 US digital city maps, the model measured lane numbers with 77% accuracy and implicit roads with 93% accuracy. Researchers are also planning to allow RoadTagger to predict other features, such as parking spots and bike lanes.
“Most up-to-date digital maps come from places that big companies are most interested in. If you’re in places that don’t care about them, you are at a disadvantage in terms of map quality,” says co-author Sam Madden, a professor of electrical engineering. Engineering and Computer Science (CEES) and Researcher at the Computer and Artificial Intelligence Laboratory (CSAIL). “Our goal is to automate the process of producing high quality digital maps so that they are available in any country.”
The co-authors of the book are CSAIL graduate students Songtao He, Favyen Bastani and Edward Park. EECS undergraduate student Satvat Jagwani; CSAIL teachers Mohammad Alizadeh and Hari Balakrishnan. and QCRI researchers Sanjay Chawla, Sofiane Abbar and Mohammad Amin Sadeghi.
Combining CNN and GNN
Quatar, based on QCRI, is not “a priority for large digital map makers,” says Madden. However, it is constantly building new roads and improving the old ones, especially as it prepares to host the 2022 FIFA World Cup.
“During our visit to Qatar, we had experiences where our driver couldn’t figure out how to get there because the map was so far away,” says Madden. “If browsers don’t have the right information for things like strip merging, this could be frustrating or worse.”
RoadTagger is based on an innovative combination of a convolutional neural network (CNN) – commonly used for image processing tasks – and a graphics neural network (GNN). GNN model relationships between connected nodes in a graph have become popular for analyzing things like social networks and molecular dynamics. The model is “end-to-end”, meaning that it is powered only by raw data and automatically generates output, without human intervention.
CNN receives raw satellite images of the target roads as input. The GNN breaks the road into sections of about 20 meters or “tiles”. Each tile is a separate graph node, which is connected by lines along the road. For each node, CNN extracts street features and shares this information with its immediate neighbors. Road information is spread throughout the graph, with each node receiving some information about the road properties in each other node. If a particular tile is clogged in an image, RoadTagger uses information from all the tiles along the road to predict what’s behind the blockage.
This combined architecture represents a more human intuition, the researchers say. Saying that part of a four-lane road is blocked by trees, so some tiles show only two lanes. People can easily assume that the stripes are hidden behind the trees. Traditional machine learning models — say, only one CNN-extract contains only individual tiles and most likely predict that the clogged tile is a two-lane path.
“People can use information from adjacent tiles to guess the number of strips in the tile block, but networks can’t do that,” he says. “Our approach is trying to emulate people’s natural behavior, where we capture local information from CNN and global information from GNN to make better predictions.”
Learning weights
To train and test RoadTagger, the researchers used a real-world map dataset called OpenStreetMap that allows users to edit and edit digital maps around the world. From this set of data, they obtained confirmed features from 688 square kilometers of maps of 20 US cities – including Boston, Chicago, Washington and Seattle. They then aggregated the corresponding satellite images from a Google Maps dataset.
In training, RoadTagger learns weights – which attribute varying degrees of importance to node features and connections – of CNN and GNN. CNN extracts features from pixel tiles and GNN propagates the known features along the graph. From randomly selected road subheadings, the system learns to predict road characteristics on each tile. This automatically learns what image functions are useful and how to transmit these features along the graph. For example, if a target tile has fuzzy lane markings but its adjacent tile has four lanes with clear lane markings and shares the same road width, then the target tile is likely to have four lanes as well. In this case, the model automatically learns that the road width is a useful image feature, so if two adjacent tiles share the same road width, they are likely to have the same number of lanes.
Since the road does not appear in OpenStreetMap training, the model breaks the road into tiles and uses its weights to make predictions. Working with predicting a number of strips on a clogged tile, the model notes that the neighboring tiles have their corresponding pixel patterns and therefore a high probability of sharing information. So, if these tiles have four strips, the bent tile must have four.
In another result, RoadTagger accurately predicted lane numbers in a set of synthetic, highly challenging road disturbances. As an example, a two-lane gradient covered some tiles of a four-lane target road. The model detected the wrong pixel drawings of the gradient, so it ignored the two strips over the covered tiles, accurately predicting that under four strips.
Researchers hope to use RoadTagger to help people quickly validate and approve continuous modifications to infrastructure on data sets such as OpenStreetMap, where many maps do not contain lane numbers or other details. One particular area of interest is Thailand, says Bastani, where roads are constantly changing, but there are few, if any, updates to the dataset.
“The roads that were once described as dirt roads are paved, so it’s better to drive and some intersections are completely constructed. There are changes every year, but digital maps are outdated,” he says. “We want to keep these road features up to date with the latest images.”
A new way to automatically generate road maps from aerial photographs
Provided by
Massachusetts Institute of Technology
This story was kindly republished by MIT News (web.mit.edu/newsoffice/), a popular site that covers news about MIT research, innovation, and teaching.
Reference:
Using artificial intelligence to enrich digital maps (2020, January 23)
retrieved on January 23, 2020
from https://techxplore.com/news/2020-01-artificial-intelligence-enrich-digital.html
This document is subject to copyright. Except for any fair transaction for private study or research purposes, no
part may be reproduced without written permission. Content is provided for informational purposes only.
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| Using artificial intelligence to enrich digital maps | Using artificial intelligence enrich digital maps The Media HQ Sign Home ENTERTAINMENT Featured GAMING IOS GAMING LATEST NEWS Politics sports Tech Sign WelcomeLog account username password Forgot password? Password recovery Recover password email Saturday, January 25, 2020 Sign JoinHome Dmca Policy Disclaimer Us Sign Welcome Log account username password Forgot password? Get help Password recovery Recover password email A password emailed you. Home ENTERTAINMENT Featured GAMING IOS GAMING LATEST NEWS Politics sports Tech Home Tech Using artificial intelligence enrich digital maps Tech Using artificial intelligence enrich digital maps By John Haas January 24, 2020 135 Facebook Twitter Pinterest WhatsApp An AI model developed MIT Qatar Computing Research Institute uses satellite images automatically tag digital maps improve GPS navigation, especially countries limited map data. Credit Cards: Google Maps MIT News A model invented researchers MIT Qatar Institute Computer Computing Research QCRI, uses satellite imagery map route features digital maps, help improve GPS navigation. Guides details routes help navigate unfamiliar locations. The number lanes, example, allow GPS warn drivers differences lanes lane mergers. orporating parking information help drivers plan ahead, bike lane mapping help cyclists negotiate busy city streets. Providing uptodate information road conditions improve disaster planning. But creating detailed maps costly timeconsuming process mainly large companies, Google, sends vehicles cameras stuck hoods capture videos pictures streets area. By combining data, create accurate, uptodate maps. Because process expensive, however, parts world ignored. One solution release machine learning models satellite images easier obtain updated fairly regularly automatically add route features. But roads blocked, example, trees buildings, making difficult task. In paper presented Union Promotion Artificial Intelligence, MIT QCRI researchers RoadTagger, uses combination architectural neural networks automatically predict number lanes types roadblocks. . When testing RoadTagger blocked roads 20 US digital city maps, model measured lane numbers 77 accuracy implicit roads 93 accuracy. Researchers planning allow RoadTagger predict features, parking spots bike lanes. Most uptodate digital maps come places big companies interested in. If youre places dont care them, disadvantage terms map quality, says coauthor Sam Madden, professor electrical engineering. Engineering Computer Science CEES Researcher Computer Artificial Intelligence Laboratory CSAIL. Our goal automate process producing high quality digital maps available country. The coauthors book CSAIL graduate students Songtao He, Favyen Bastani Edward Park. EECS undergraduate student Satvat Jagwani; CSAIL teachers Mohammad Alizadeh Hari Balakrishnan. QCRI researchers Sanjay Chawla, Sofiane Abbar Mohammad Amin Sadeghi. Combining CNN GNN Quatar, based QCRI, priority large digital map makers, says Madden. However, constantly building new roads improving old ones, especially prepares host 2022 FIFA World Cup. During visit Qatar, experiences driver figure map far away, says Madden. If browsers dont right information things like strip merging, frustrating worse. RoadTagger based innovative combination convolutional neural network CNN commonly image processing tasks graphics neural network GNN. GNN model relationships connected nodes graph popular analyzing things like social networks molecular dynamics. The model endtoend, meaning powered raw data automatically generates output, human intervention. CNN receives raw satellite images target roads input. The GNN breaks road sections 20 meters tiles. Each tile separate graph node, connected lines road. For node, CNN extracts street features shares information immediate neighbors. Road information spread graph, node receiving information road properties node. If particular tile clogged image, RoadTagger uses information tiles road predict whats blockage. This combined architecture represents human intuition, researchers say. Saying fourlane road blocked trees, tiles lanes. People easily assume stripes hidden trees. Traditional machine learning models say, CNNextract contains individual tiles likely predict clogged tile twolane path. People use information adjacent tiles guess number strips tile block, networks that, says. Our approach trying emulate peoples natural behavior, capture local information CNN global information GNN better predictions. Learning weights To train test RoadTagger, researchers realworld map dataset called OpenStreetMap allows users edit edit digital maps world. From set data, obtained confirmed features 688 square kilometers maps 20 US cities including Boston, Chicago, Washington Seattle. They aggregated corresponding satellite images Google Maps dataset. In training, RoadTagger learns weights attribute varying degrees importance node features connections CNN GNN. CNN extracts features pixel tiles GNN propagates known features graph. From randomly selected road subheadings, learns predict road characteristics tile. This automatically learns image functions useful transmit features graph. For example, target tile fuzzy lane markings adjacent tile lanes clear lane markings shares road width, target tile likely lanes well. In case, model automatically learns road width useful image feature, adjacent tiles share road width, likely number lanes. Since road appear OpenStreetMap training, model breaks road tiles uses weights predictions. Working predicting number strips clogged tile, model notes neighboring tiles corresponding pixel patterns high probability sharing information. So, tiles strips, bent tile four. In result, RoadTagger accurately predicted lane numbers set synthetic, highly challenging road disturbances. As example, twolane gradient covered tiles fourlane target road. The model detected wrong pixel drawings gradient, ignored strips covered tiles, accurately predicting strips. Researchers hope use RoadTagger help people quickly validate approve continuous modifications infrastructure data sets OpenStreetMap, maps contain lane numbers details. One particular area Thailand, says Bastani, roads constantly changing, few, any, updates dataset. The roads described dirt roads paved, better drive intersections completely constructed. There changes year, digital maps outdated, says. We want road features date latest images. A new way automatically generate road maps aerial photographs Provided Massachusetts Institute Technology This story kindly republished MIT News web.newsoffice, popular site covers news MIT research, innovation, teaching. Reference: Using artificial intelligence enrich digital maps 2020, January 23 retrieved January 23, 2020 This document subject copyright. Except fair transaction private study research purposes, reproduced written permission. Content provided informational purposes only. 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Global Big Data and Data Engineering Services Market 2020 Growth Strategy, Trends and Insights Research upto 2025
david
October 12, 2020
The new report titled as Global Big Data and Data Engineering Services Market 2020 published by Fior Markets covers the detailed market landscape and its development predictions over the forecast period from 2020 to 2025. An intricately designed, conceived, and presented research report on the global Big Data and Data Engineering Services market presents an in-depth overview of the market with comprehensive market segmentation by product type, end-user, application, and geography. The report primarily banks upon primary and secondary research practices encouraging business players to take adequate market-relevant decisions. It throws light on key statistics on the market position of the major market players. A clear evaluation of the future market demand during the forecast period has been given in the report.
NOTE: Our analysts monitoring the situation across the globe explains that the market will generate remunerative prospects for producers post COVID-19 crisis. The report aims to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.
DOWNLOAD FREE SAMPLE REPORT: https://www.fiormarkets.com/report-detail/362226/request-sample
The report has a section dedicated to profiling key companies in the market. Most companies in the global Big Data and Data Engineering Services market have currently adopted new technological trends in the market. The report has added production, revenue, and average price shares by key vendors. In addition, information on competitive situations and trends as well as merger and achievement and expansion, market shares of the top players is delivered in the report. Key market dynamics are assessed on the grounds of challenges geographies, divers, restraints, opportunities, and major players.
Competitive Assessment of The Market:
The report includes the list of major companies/competitors and their competition data that helps the user to determine their current position in the global Big Data and Data Engineering Services market and take important measures to maintain or increase their share holds. The researchers shed light on the top strategies, market share, regional growth, revenue growth, and markets served by these companies. The competitive landscape study explains the current nature of competition. In addition, their product description, business outline, and business strategy are also highlighted in the report.
The global Big Data and Data Engineering Services market is highly competitive and consists of a number of major manufacturers like: Accenture, Genpact, Cognizant, Infosys, Capgemini, NTT DATA, Mphasis, L&T Technology Services, Hexaware, Happiest Minds, KPMG, EY, Tiger Analytics, LatentView Analytics, InfoStretch, Vensai Technologies, Course5 Sigmoid, Nous Infosystems, Bodhtree, Hidden Brains InfoTech, Brillio, Franz Inc., BRIDGEi2i, and Trianz.
The information about the segment potential delivered in the global Big Data and Data Engineering Services market report allows manufacturers to understand and redesign investment plans to remain ahead with a substantial competitive edge. Later, the research is designed to help report readers and manufacturers accurately identify prominent growth triggers and the current scenario of the supply chain hierarchy. The report offers insightful revelations about various market facets involving market scope, market size developments, and risk assessment.
This report studies the global market size in key regions like North America, Europe, Asia Pacific, South America, and the Middle East and Africa, focusing on the consumption of Big Data and Data Engineering Services in these regions.
Request for Customization: https://www.fiormarkets.com/enquiry/request-customization/362226
Key Benefits To Purchase This Market Report:
You will get insightful analyses of the global Big Data and Data Engineering Services market
You will have a comprehensive understanding of the global market and its commercial landscape.
You will be able to assess know development risk, driving and restraining forces in the market, and its impact in the global market
You will understand the future outlook and prospects for the market.
ACCESS FULL REPORT: https://www.fiormarkets.com/report/global-big-data-and-data-engineering-services-market-362226.html
Customization of the Report:This report can be customized to meet the client’s requirements. Please connect with our sales team ([email protected]), who will ensure that you get a report that suits your needs.
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| Global Big Data and Data Engineering Services Market 2020 Growth Strategy, Trends and Insights Research upto 2025 | Global Big Data Data Engineering Services Market 2020 Growth Strategy, Trends Insights Research upto 2025 Galus Australis Galus Australis Business General News Healthcare Industry International Lifestyle SciTech Monday, October 12 2020 Trending Wage conflict decisive phase: chaos public service economy Fortnite deleted App Store trial version Fragile truce NagornoKarabakh: solve conflict politically Apple blacklisted Europe strict rules Fragile truce NagornoKarabakh: solve conflict politically Criticism female form: I understanding gender madness politics tool attract regular visitors website Spotify doesnt like apps transfer music Criticism language bill: I dont understand gender madness politics Global Organic Fiber Supplement Market 2020: Expected Development, Share, Demand And Study Of Key Players Research Predictions 2025 Us HomeSciTechGlobal Big Data Data Engineering Services Market 2020 Growth Strategy, Trends Insights Research upto 2025 SciTech Global Big Data Data Engineering Services Market 2020 Growth Strategy, Trends Insights Research upto 2025 david October 12, 2020 The new report titled asGlobal Big Data Data Engineering Services Market 2020published Fior Markets covers detailed market landscape development predictions forecast period 2020 2025. An intricately designed, conceived, presented research report globalBig Data Data Engineering Servicesmarket presents indepth overview market comprehensive market segmentation product type, enduser, application, geography. The report primarily banks primary secondary research practices encouraging business players adequate marketrelevant decisions. It throws light key statistics market position major market players. A clear evaluation future market demand forecast period given report. NOTE:Our analysts monitoring situation globe explains market generate remunerative prospects producers post COVID19 crisis. The report aims provide additional illustration latest scenario, economic slowdown, COVID19 impact overall industry. DOWNLOAD FREE SAMPLE REPORT: The report section dedicated profiling key companies market. Most companies globalBig Data Data Engineering Servicesmarket currently adopted new technological trends market. The report added production, revenue, average price shares key vendors. In addition, information competitive situations trends merger achievement expansion, market shares players delivered report. Key market dynamics assessed grounds challenges geographies, divers, restraints, opportunities, major players. Competitive Assessment The Market: The report includes list major companiescompetitors competition data helps user determine current position globalBig Data Data Engineering Servicesmarket important measures maintain increase share holds. The researchers shed light strategies, market share, regional growth, revenue growth, markets served companies. The competitive landscape study explains current nature competition. In addition, product description, business outline, business strategy highlighted report. The globalBig Data Data Engineering Servicesmarket highly competitive consists number major manufacturers like: Accenture, Genpact, Cognizant, Infosys, Capgemini, NTT DATA, Mphasis, LT Technology Services, Hexaware, Happiest Minds, KPMG, EY, Tiger Analytics, LatentView Analytics, InfoStretch, Vensai Technologies, Course5 Sigmoid, Nous Infosystems, Bodhtree, Hidden Brains InfoTech, Brillio, Franz ., BRIDGEi2i, Trianz. The information segment potential delivered globalBig Data Data Engineering Servicesmarket report allows manufacturers understand redesign investment plans remain ahead substantial competitive edge. Later, research designed help report readers manufacturers accurately identify prominent growth triggers current scenario supply chain hierarchy. The report offers insightful revelations market facets involving market scope, market size developments, risk assessment. This report studies global market size key regions likeNorth America, Europe, Asia Pacific, South America, Middle East Africa, focusing consumption ofBig Data Data Engineering Servicesin regions. Request forCustomization: Key Benefits To Purchase This Market Report: You insightful analyses globalBig Data Data Engineering Servicesmarket You comprehensive understanding global market commercial landscape. You able assess know development risk, driving restraining forces market, impact global market You understand future outlook prospects market. ACCESS FULL REPORT: Customization Report:This report customized meet clients requirements. Please connect sales team [emailprotected], ensure report suits needs. Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print david Related Articles October 5, 2020 4 Global Zinc Pyrithione Emulsion Market 2020 SWOT Analysis Lonza, Zhufeng Fine Chem, Regen Chem, Vivimed Clariant June 25, 2020 10 Global Ammonium Cobalt Sulfate Market 2020 Analysis, Types, Applications, Forecast COVID19 Impact Analysis 2025 May 25, 2020 12 Global Isoleucine Ile Market 2020 Analysis, Types, Applications, Forecast COVID19 Impact Analysis 2025 August 13, 2020 6 Global Tumor Necrosis Factor Inhibitors Market 2020: Expected Development, Share, Demand And Study Of Key Players Research Predictions 2025 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? Remember Log In | 2,020 | [
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https://hackernoon.com/can-you-consistently-beat-the-fx-markets-using-ai-trading-software-without-actually-trading-i75d324f | 2020-07-10T00:00:00 | en | Can You Consistently Beat the FX Markets using AI Trading Software, Without Actually Trading? | Hacker Noon | Can You Consistently Beat the FX Markets using AI Trading Software, Without Actually Trading? | Hacker NoonStart WritingStart WritingReadTechAIAutomationBusinessDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning of LifeRoboticsSelf-Driving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop Stories0Write0LearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero to MasteryData ScienceData science course 2020Deep learning A-ZMachine Learning, Data Science, Deep Learning PythonPython for Machine LearningStatistics for Data Science and Business AnalysisLanguagesHTML & CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words or LessLinkedInOn the GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit a Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd by TagBook a MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200+ Brands Publishing HereReadTechAIAutomationBusinessDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning of LifeRoboticsSelf-Driving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop StoriesWriteLearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero to MasteryData ScienceData science course 2020Deep learning A-ZMachine Learning, Data Science, Deep Learning PythonPython for Machine LearningStatistics for Data Science and Business AnalysisLanguagesHTML & CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words or LessLinkedInOn the GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit a Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd by TagBook a MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200+ Brands Publishing HereStart Chatting On The Decentralized Web!Can You Consistently Beat the FX Markets using AI Trading Software, Without Actually Trading? by@8topuzCan You Consistently Beat the FX Markets using AI Trading Software, Without Actually Trading?January 17th 2020 1,927 reads@8topuzAnthony MunnsHead of Digital at 8topuzI am pretty sure you are aware that every time you trade you lose money?With each typical online trade, 3 sneaky little money thieves dip into your pocket and snatch a little profit:you will pay a commission to the brokeryou will need to pay a spread on the entry and exit price of each tradeyou will also pay a spread on your margin interestDamn, this trading is costly isn’t it?So, what I am about to reveal is a seriously amazing bit of advice that will save you the most precious things known to man.Time, Money and one more thing, unnecessary Stress!If you already trade the markets, you will know that an instant way to lose money is to open and close positions using a high-frequency trading (HFT) strategy, (as fast as your fingers and systems can work that is).Sure there are professional and experienced traders who have successful strategies, though it only takes a little poking around to see that they have worked for a long time to get to that enviable position, often with a lot of hair loss, lost money and near nervous breakdowns to boot!Any experienced trader will tell you that each closed position allows a sneaky little money thief to take a bit of your profit.And when the stats show that about 75% of all trades are on the losing side….you can start to see why so many people struggle to make manual FX trading work for their investment needs.So, is this the time to give up on Forex trading?One of the strategies that certain traders like to perfect is the HFT (high-frequency trading) system, but done manually, this system is pretty much impossible, and if attempted means you are working more like a robot.And let’s be honest why would anyone take pleasure from doing the job of a boring old robot…open, analyse, close, open, analyse, close, open, analyse, close…repeat at lighting speed….no chance!RSI and brain explosion coming soon!So playing the high-frequency trading game (as fast as any human can) is a strategy that you are always at an instant loss from the very start and if you can stand the heat, stress, and potential for RSI you may make it work for you, in the long run.But be aware that on every one of the many trades you make you’re going to take a number of losses before you make your profit, since you will pay a fixed spread on the entry and exit price and then an agreed commission, so those fees will triple before you even see your profit.It’s clear then that the losses we incur as traders will increase in relation to the number of trades we make.So, put simply the more often you trade, the larger the profits you will need just to break-even and ensure those pesky money thieves who are there to snipe at your gains are not impacting your investment growth goals.There is no wonder that, so many beginner traders give up after sometimes heavy losses.Sure, some stick it out and create elaborate systems to help them ensure that they are playing the long game and beating the markets more than losing, the thing is anyone in the professional trading game will know that getting to that stage of consistent profits takes serious money, time, energy, commitment and lots of learning and months, if not years of testing.Do you really have the time and deep pockets to do all that work?What if you could just add your desired investment amount into an automated AI-based high-frequency trading software that had audited ROI of 2-4% per month (24-48% per year)…and did all the hard work for you!Have I just given you a big sigh of relief and some hope that you can trade the markets without all the hassle?Good, because what I am about to make you aware of is at the cutting edge of AI, FinTech and machine-based learning, and directly helps people like you invest in the FX markets with a system that offers a stable ROI without all the hassle.Who is behind this trading software revolution?Introducing 8topuz (pronounced Octopuz), a European, award-winning FinTech company that has developed a 10 year back-tested, AI-based trading software with a proven 3-year audited ROI of between 2-4% monthly average.Get E-Book And Performance Data:https://8topuz.com/8topuz-ai-algorithm-performance/Did someone just say ditch the banks!?So how can you tap into such a system?Do you need to be a trader? Do you need to know the markets?Are you able to manage the software yourself?We know there are many questions surrounding new tools and ideas so here are a few questions that are so often asked about this automated trading solution.1) Do you need to be a trader?Not at all, our clients include traders, institutions and portfolio managers who see the huge value of an audited AI-based trading software solution.You do however need to open a broker account where your segregated funds will be kept safe with one of our trusted, regulated partners so we can integrate our plugin (software) to your MT4 trading account allowing us to trade on your behalf.Do not worry we will handhold you all the way if any of that sounds new or a little alien to you.2) What is the minimum deposit amount to get started?Typically, we only allow a minimum deposit of $10k USD as the system needs to see volume in trading to be effective due to the way our AI-based machine-learned algorithm works, but we also have a PAMM option which allows you to work with other investors in a collective pool.3) Can I get a demo account?Yes, we offer rolling 30-day access to the system so you can easily see what is happening with the AI-based algorithm within a monthly period and get a true feel of how it all works.4) I am still a bit confused by the value of the 8topuz service and have more questionsNo worries, it’s not always that easy to understand, your simple solution to start your alternative investment journey is to sign up for our E-Book on AI investing and get our audited monthly performance data for the past 3 years and schedule a call to speak to one of our trained FinTech AI specialists who will guide you on all aspects of the service.For the Techies:The 8topuz AI Algorithm, has been running for the last 3 years, using a proprietary neural network that analyses market’s depth and looks for patterns of pre-set mathematical models (such as fractals, chaos and waves) that allows it to understand and forecast market’s trends on a real-time basis (in fact it is a trending program).The neural network is supervised, multi-layered and composed by variable nodes, meaning:By feeding the network with pre-set data, the system creates its own real-time strategies to achieve the established objectives.In only milliseconds, our system can choose the most appropriate strategy among more than 30,000 options in every single market condition.The network’s main tasks are as follows:Pattern recognition.Process optimization, and Signal validation and information processing.Usage of analysed market intelligence and troubleshooting:If the system identifies a trend which is not followed by the market, our software applies a counter-strategy to solve the situation on a real-time basis, adapting to the new scenario.During this non-stop analysis, research and optimization process, all new movements and patterns are stored to be used in up-coming scenarios, helping solve future market situations.Hence, it learns from its own mistakes and successfully solves the problems posed.Ready to join the AI trading revolution?Get E-Book And Performance Data:https://8topuz.com/8topuz-ai-algorithm-performance/#think8topuzShare this story @8topuzAnthony MunnsE-Book/Audited Performance DataRelatedWhere Blockchain Companies Publish their Best StoriesVisit Brand as Author Program BrandasAuthor.compromotedTop Artificial Intelligence Algorithmic Trading Software Solutions ...#ai-trading@8topuzAnthony Munns4min12/10/19How To Streamline Your Crypto Trading with Stop and Limit Orders#crypto-exchange@amplify-brokerageAmplify Brokerage07/10/20Tags#investment#trading#automated-trading#good-company#ai-trading#ai-software#fintech-trading#fintechSubscribe to get your daily round-up of top tech stories!HelpAboutStart WritingSponsor:Brand-as-AuthorSitewide BillboardAd by tagNewsletterNooniesContact UsTermsPrivacyCookiesStories published yesterdayLeaderboardContributor's ClubChrome Extension | Can You Consistently Beat the FX Markets using AI Trading Software, Without Actually Trading? | Can You Consistently Beat FX Markets AI Trading Software, Without Actually Trading? Hacker NoonStart WritingStart WritingReadTechAIAutomationBusinessDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning LifeRoboticsSelfDriving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop Stories0Write0LearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero MasteryData ScienceData science course 2020Deep learning AZMachine Learning, Data Science, Deep Learning PythonPython Machine LearningStatistics Data Science Business AnalysisLanguagesHTML CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words LessLinkedInOn GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd TagBook MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200 Brands Publishing HereReadTechAIAutomationBusinessDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning LifeRoboticsSelfDriving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop StoriesWriteLearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero MasteryData ScienceData science course 2020Deep learning AZMachine Learning, Data Science, Deep Learning PythonPython Machine LearningStatistics Data Science Business AnalysisLanguagesHTML CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words LessLinkedInOn GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd TagBook MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200 Brands Publishing HereStart Chatting On The Decentralized WebCan You Consistently Beat FX Markets AI Trading Software, Without Actually Trading? You Consistently Beat FX Markets AI Trading Software, Without Actually Trading?January 17th 2020 1,927 reads MunnsHead Digital 8topuzI pretty sure aware time trade lose money?With typical online trade, 3 sneaky little money thieves dip pocket snatch little profit:you pay commission brokeryou need pay spread entry exit price tradeyou pay spread margin interestDamn, trading costly isnt it?So, I reveal seriously amazing bit advice save precious things known man.Time, Money thing, unnecessary StressIf trade markets, know instant way lose money open close positions highfrequency trading HFT strategy, fast fingers systems work is.Sure professional experienced traders successful strategies, takes little poking worked long time enviable position, lot hair loss, lost money near nervous breakdowns bootAny experienced trader tell closed position allows sneaky little money thief bit profit.And stats 75 trades losing side.you start people struggle manual FX trading work investment needs.So, time Forex trading?One strategies certain traders like perfect HFT highfrequency trading system, manually, pretty impossible, attempted means working like robot.And lets honest pleasure job boring old robotopen, analyse, close, open, analyse, close, open, analyse, closerepeat lighting speed.no chanceRSI brain explosion coming soonSo playing highfrequency trading game fast human strategy instant loss start stand heat, stress, potential RSI work you, long run.But aware trades youre going number losses profit, pay fixed spread entry exit price agreed commission, fees triple profit.Its clear losses incur traders increase relation number trades make.So, simply trade, larger profits need breakeven ensure pesky money thieves snipe gains impacting investment growth goals.There wonder that, beginner traders heavy losses.Sure, stick create elaborate systems help ensure playing long game beating markets losing, thing professional trading game know getting stage consistent profits takes money, time, energy, commitment lots learning months, years testing.Do time deep pockets work?What add desired investment automated AIbased highfrequency trading software audited ROI 24 month 2448 yearand hard work youHave I given big sigh relief hope trade markets hassle?Good, I aware cutting edge AI, FinTech machinebased learning, directly helps people like invest FX markets offers stable ROI hassle.Who trading software revolution?Introducing 8topuz pronounced Octopuz, European, awardwinning FinTech company developed 10 year backtested, AIbased trading software proven 3year audited ROI 24 monthly average.Get EBook And Performance Data: ditch banks?So tap system?Do need trader? Do need know markets?Are able manage software yourself?We know questions surrounding new tools ideas questions asked automated trading solution.1 Do need trader?Not all, clients include traders, institutions portfolio managers huge value audited AIbased trading software solution.You need open broker account segregated funds kept safe trusted, regulated partners integrate plugin software MT4 trading account allowing trade behalf.Do worry handhold way sounds new little alien you.2 What minimum deposit started?Typically, allow minimum deposit 10k USD needs volume trading effective way AIbased machinelearned algorithm works, PAMM option allows work investors collective pool.3 Can I demo account?Yes, offer rolling 30day access easily happening AIbased algorithm monthly period true feel works.4 I bit confused value 8topuz service questionsNo worries, easy understand, simple solution start alternative investment journey sign EBook AI investing audited monthly performance data past 3 years schedule speak trained FinTech AI specialists guide aspects service.For Techies:The 8topuz AI Algorithm, running 3 years, proprietary neural network analyses markets depth looks patterns preset mathematical models fractals, chaos waves allows understand forecast markets trends realtime basis fact trending program.The neural network supervised, multilayered composed variable nodes, meaning:By feeding network preset data, creates realtime strategies achieve established objectives.In milliseconds, choose appropriate strategy 30,000 options single market condition.The networks main tasks follows:Pattern recognition.Process optimization, Signal validation information processing.Usage analysed market intelligence troubleshooting:If identifies trend followed market, software applies counterstrategy solve situation realtime basis, adapting new scenario.During nonstop analysis, research optimization process, new movements patterns stored upcoming scenarios, helping solve future market situations.Hence, learns mistakes successfully solves problems posed.Ready join AI trading revolution?Get EBook And Performance Data: story MunnsEBookAudited Performance DataRelatedWhere Blockchain Companies Publish Best StoriesVisit Brand Author Program BrandasAuthor.compromotedTop Artificial Intelligence Algorithmic Trading Software Solutions ...aitrading Munns4min121019How To Streamline Your Crypto Trading Stop Limit Orderscryptoexchange Brokerage071020Tagsinvestmenttradingautomatedtradinggoodcompanyaitradingaisoftwarefintechtradingfintech daily roundup tech storiesHelpAboutStart WritingSponsor:BrandasAuthorSitewide BillboardAd tagNewsletterNoonies UsTermsPrivacysStories published yesterdayLeaderboardContributors ClubChrome Extension | 2,020 | [
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https://www.prnewswire.com:443/news-releases/imaginable-futures-new-global-philanthropic-investment-firm-focused-on-learning-spins-off-from-omidyar-network-300992544.html | 2020-01-24T00:00:00 | en | Imaginable Futures, New Global Philanthropic Investment Firm Focused on Learning, Spins Off from Omidyar Network |
Imaginable Futures, New Global Philanthropic Investment Firm Focused on Learning, Spins Off from Omidyar Network
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Imaginable Futures, New Global Philanthropic Investment Firm Focused on Learning, Spins Off from Omidyar Network
Launches with $200 million of capital invested and $150 million from philanthropists Pierre and Pam Omidyar
Will focus on the future of learning across US, Africa and Latin America
News provided by
Imaginable Futures
Jan 24, 2020, 00:01 ET
Share this article
REDWOOD CITY, Calif., Jan. 24, 2020 /PRNewswire/ -- Imaginable Futures, a new global philanthropic firm focusing on unlocking human potential through learning, launched today. Founded and funded by philanthropists and entrepreneurs Pam and Pierre Omidyar, the founder of eBay, Imaginable Futures begins with $200 million of capital invested, and an additional $150 million for operations and investment over the next four years.
On today's United Nations' International Day of Education, Imaginable Futures is proud to affirm that education is a human right, a public good and responsibility, and a powerful force to ensure significant improvements in economic stability and mobility, individual health and well-being, and to unlock the innovation we need to build more resilient and thriving societies.
Imaginable Futures will utilize the hybrid funding structure pioneered by Omidyar Network that is part philanthropic foundation and part impact investor. This structure allows Imaginable Futures the financial flexibility to support for-profit entrepreneurs harnessing the power of markets, as well as social and public-sector changemakers innovating to produce scalable change.
Imaginable Futures' current global portfolio includes more than 100 for-profit companies and nonprofit organizations within the United States, Africa and Latin America with a focus on innovating in learning during the early, school and adult years. This portfolio includes early learning solutions in the United States like Wonderschool and All Our Kin; whole child focused, blended learning environments like SPARK Schools in South Africa and scalable literacy solutions like Árvore Educação in Brazil; and next-generation adult learning models such as ALX and Laboratoria, which are developing critical skills and mindsets across Africa and Latin America, respectively."We know that learning has a unique ability to help people reach their full potential and become thriving, contributing members of their communities," said Amy Klement, managing partner of Imaginable Futures. "However, in today's complex world, skill-sets, relationships and opportunities are evolving far faster than ever before. This results in a need to massively rethink not only what people learn but also how and when they learn. Imaginable Futures exists to support bold changemakers who are doing exactly that—so that every learner has the opportunity, tools and support that they need to imagine, and to realize, a brighter future."With 617 million children and adolescents around the world unable to read or do basic math, there has never been a greater need for imaginative ideas and inclusive, collaborative leadership in learning. In the United States alone, more than 7 million children under the age of 5 are not fully ready when they enter kindergarten. Additionally, poor educational outcomes hinder millions of low- and middle-income adult learners in developing the skills needed to adapt, advance and prosper, as well as find jobs that support their economic security and mobility.To address this, Imaginable Futures takes a human-centered approach. They recognize that learning starts early, is unique for each person based on their individual circumstances and that education and economic advancement can significantly change a family's future for generations. Imaginable Futures focuses on the whole learner, understanding that healthy societies are created when individuals, families and communities can thrive.With a drive to create systemic change, Imaginable Futures invests not only in the whole learner but also in bold changemakers. They also support ecosystem infrastructure, research and policy that benefits learners. The new organization works across public, private and social sectors to bring to life transformational ideas in local, national and global contexts for learners of all ages. Additionally, they assist organizations both strategically and operationally. With a deep commitment to on-the-ground partnership and co-creation with those they serve, Imaginable Futures is empowering learners, families and communities to be the changemakers of the future."I believe in entrepreneurial leadership and taking calculated risks for a greater vision—in my case for growing talent across Africa," said Fred Swaniker, founder of African Leadership Group, which includes African Leadership Academy, African Leadership University, and ALX which are now part of the Imaginable Futures portfolio. "The team at Imaginable Futures has supported me in my vision and I am hopeful that our work will create the leaders we need to bring to life a better world for all of us."A venture of The Omidyar Group, Imaginable Futures is based in Redwood City, California with staff across the United States; Sao Paulo, Brazil; Nairobi, Kenya; and London, UK. About Imaginable Futures Imaginable Futures (IF) is a global philanthropic investment firm that believes learning has the power to unlock human potential and aspires to provide every learner with the opportunity and the tools they need to imagine, and to realize, a brighter future. By taking a systems approach to solving complex education challenges, IF works across public, private and social sectors to bring to life transformational ideas in local, national and global contexts for learners of all ages. With a deep commitment to on-the-ground partnership and co-creation with those we serve, Imaginable Futures is empowering learners, families and communities to be the changemakers of the future. Established in 2020 and managed by a global team, Imaginable Futures has invested $200 million in more than 100 partners across Africa, Latin America and the United States, as well as in India with sister organization, Omidyar Network India. Imaginable Futures is a venture of The Omidyar Group, and is founded and funded by Pierre and Pam Omidyar. Follow us at @imaginablefut and learn more at www.imaginablefutures.com.SOURCE Imaginable Futures
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Imaginable Futures, New Global Philanthropic Investment Firm Focused on Learning, Spins Off from Omidyar Network
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Approval Health Care Hospitals Health Insurance Infection Control Medical Equipment Medical Pharmaceuticals Mental Health Pharmaceuticals Supplementary Medicine Sports All Sports General Sports Outdoors, Camping Hiking Sporting Events Sports Equipment Accessories Sports Overview Travel All Travel Amusement Parks Tourist Attractions Gambling Casinos Hotels Resorts Leisure Tourism Travel Overview Outdoors, Camping Hiking Passenger Aviation Travel Industry Policy Public Interest Policy Public Interest All Policy Public Interest Advocacy Group Opinion Animal Welfare Corporate Social Responsibility Domestic Policy Policy Public Interest Overview Economic News, Trends, Analysis Education Environmental European Government FDA Approval Federal State Legislation Federal Executive Branch Agency Foreign Policy International Affairs Homeland Security Labor Union Legal Issues Natural Disasters Not For Profit Patent Law Public Safety Trade Policy U.S. State Policy People Culture People Culture All People Culture Aboriginal, First Nations Native American African American People Culture Overview Asian American Children Hispanic Lesbian, Gay Bisexual People Disabilities Religion Senior Citizens Veterans Women InLanguage News espaol portugus esko Danmark Deutschland Espaa France Italia Nederland Norge Polska Portugal Slovensko Suomi Sverige Imaginable Futures, New Global Philanthropic Investment Firm Focused Learning, Spins Off Omidyar Network Launches 200 million capital invested 150 million philanthropists Pierre Pam Omidyar Will focus future learning US, Africa Latin America News provided Imaginable Futures Jan 24, 2020, 00:01 ET Share article REDWOOD CITY, Calif., Jan. 24, 2020 PRNewswire Imaginable Futures, new global philanthropic firm focusing unlocking human potential learning, launched today. Founded funded philanthropists entrepreneurs Pam Pierre Omidyar,the founder eBay,Imaginable Futures begins 200 million capital invested, additional150 millionfor operations investmentover years. On todays United Nations International Day Education, Imaginable Futures proud affirm thateducation human right, public good responsibility, powerful force ensure significant improvements economic stability mobility, individual health wellbeing, unlock innovation need build resilient thriving societies. Imaginable Futures utilize hybrid funding structure pioneered Omidyar Network philanthropic foundation impact investor.This structure allows Imaginable Futures financial flexibility support forprofit entrepreneurs harnessing power markets, social publicsector changemakers innovating produce scalable change. Imaginable Futures current global portfolio includes 100 forprofit companies nonprofit organizations United States, Africa Latin America focus innovating learning early, school adult years. This portfolio includes early learning solutions United States like Wonderschool All Our Kin; child focused, blended learning environments like SPARK Schools South Africa scalable literacy solutions like rvore Educao Brazil; nextgeneration adult learning models ALX Laboratoria, developing critical skills mindsets Africa Latin America, respectively.Weknow learning unique ability help people reach potential andbecome thriving, contributingmembers theircommunities, said AmyKlement, managing partner Imaginable Futures. However,in todayscomplexworld,skillsets, relationships opportunitiesare evolvingfarfaster before. This results need massively rethink people learnbut howand learn. Imaginable Futuresexists tosupport bold changemakers exactly thatso thatevery learner opportunity, toolsand supportthat need imagine, andto realize, brighter future.With 617 million children adolescents world unable read basic math, greater need imaginative ideas inclusive, collaborative leadership learning. In United States alone, 7 million children age 5 fully ready enter kindergarten. Additionally, poor educational outcomes hinder millions low middleincome adult learners developing skills needed adapt, advance prosper, jobs support economic security mobility.To address this, Imaginable Futures takes humancentered approach. They recognize learning starts early, unique person based individual circumstances education economic advancement significantly change familys future generations. Imaginable Futures focuses learner, understanding healthy societies created individuals, families communities thrive.With drive create systemic change, Imaginable Futures invests learner bold changemakers. They support ecosystem infrastructure, research policy benefits learners.The new organization works public, private social sectors bring life transformational ideas local, national global contexts learners ages. Additionally, assist organizations strategically operationally. With deep commitment ontheground partnership cocreation serve, Imaginable Futures empowering learners, families communities changemakers future.I believe entrepreneurial leadership taking calculated risks greater visionin case growing talent Africa, said Fred Swaniker, founder African Leadership Group, includes African Leadership Academy, African Leadership University, ALX Imaginable Futures portfolio. The team Imaginable Futures supported vision I hopeful work create leaders need bring life better world us.A venture The Omidyar Group, Imaginable Futures based Redwood City, California staff United States; Sao Paulo, Brazil; Nairobi, Kenya; London, UK. About Imaginable Futures Imaginable Futures IF global philanthropic investment firm believes learning power unlock human potential aspires provide learner theopportunity tools need imagine, realize, brighter future. By taking systems approach solving complex education challenges, IFworks public, private socialsectors bring life transformational ideas local, national global contexts learners ages. With deep commitment ontheground partnership cocreation withthose serve, Imaginable Futures empowering learners, families communities changemakers future.Established 2020and managed global team, Imaginable Futures invested 200 million 100 partners Africa, Latin America United States, Indiawith sister organization, Omidyar Network India. Imaginable Futures venture The Omidyar Group, founded funded Pierre Pam Omidyar. Follow learn Imaginable Futures Modal title You read: Imaginable Futures, New Global Philanthropic Investment Firm Focused Learning, Spins Off Omidyar Network News provided Imaginable Futures Jan 24, 2020, 00:01 ET Share article Share article PR Newswire 8887760942 8 AM 10 PM ET Us General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Products Cision Communication Cloud For Marketers For Public Relations For IR Compliance For Agency For Small Business All Products About About PR Newswire About Cision Become Publishing Partner Become Channel Partner Careers Global Sites Asia Brazil Canada Czech Denmark Finland France Germany India Israel Italy Mexico Middle East Netherlands Norway Poland Portugal Russia Slovakia Spain Sweden United Kingdom My Services All New Releases Online Member Center ProfNet My Services All News Releases Online Member Center ProfNet 8887760942 8 AM 10 PM ET Terms Use Information Security Policy Site Map RSS Settings 2020 PR Newswire Association LLC. . 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] | 1 | POSITIVE | 293 |
https://www.techradar.com/sg/news/nvidia-reveals-most-powerful-ai-system-ever | 2020-05-16T00:00:00 | en | Nvidia reveals most powerful AI system ever | TechRadar |
Nvidia reveals most powerful AI system ever | TechRadar
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Home
News
Nvidia reveals most powerful AI system ever
By
Anthony Spadafora
16 May 2020
Nvidia DGX A100 system delivers five petaflops of AI performance
Shares
(Image credit: Nvidia)
Nvidia has unveiled the third generation of the world's most advanced AI system with the launch of its new Nvidia DGX A100.The DGX A100 can deliver five petaflops of AI performance as it consolidates the power and capabilities of an entire data center into a single platform for the first time. The system is available now and the first order has already shipped out to the US Department of Energy's (DOE) Argonne National Laboratory which will use its AI and computing power to better understand and fight against Covid-19.In a press release, founder and CEO of Nvidia, Jensen Huang explained how the DGX A100 will help advance the development of AI, saying:Nvidia makes Linux push with Cumulus Networks dealIBM CEO: 'Every company will become an AI company'These are the best AI platforms for business“NVIDIA DGX A100 is the ultimate instrument for advancing AI. NVIDIA DGX is the first AI system built for the end-to-end machine learning workflow — from data analytics to training to inference. And with the giant performance leap of the new DGX, machine learning engineers can stay ahead of the exponentially growing size of AI models and data.”Nvidia DGX A100Nvidia's DGX A100 systems integrate eight of the company's new A100 Tensor Core GPUs for a total of 320GB of memory that can be used to train even the largest AI datasets. The system also features the latest high-speed Nvidia Mellanox HDR 200Gbps interconnects.When working with smaller workloads, the DGX A100 can be partitioned into as many as 56 instances per system by using the A100's multi-instance GPU feature. This enables enterprise to optimize computing power and resources on demand in order to accelerate a variety of diverse workloads, including data analytics, training and inference, all on a single, fully integrated, software defined platform.The University of Florida even plans to deploy DGX A100 systems to infuse AI across its entire curriculum with the aim of fostering an AI-enabled workforce.Nvidia's new AI system is available now through its partner network of resellers worldwide starting at $199,000 (£164,412). The company's storage technology providers, including DDN Storage, Dell, IBM, NetApp, Pure Storage and Vast, also plan to integrate the DGX A100 into their offerings.We've also highlighted the best dedicated server hosting providers
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| Nvidia reveals most powerful AI system ever | Nvidia reveals powerful AI TechRadar Skip main content TechRadar pro IT insights business RSS Please deactivate ad blocker order subscription offer News Security Resources Web hosting VPN More TechRadar Best VPN Business VPN Best Web Hosting Resources Best Cloud Storage Best Printer Mobile Industry TechRadar supported audience. When purchase links site, earn affiliate commission. Learn Home News Nvidia reveals powerful AI By Anthony Spadafora 16 May 2020 Nvidia DGX A100 delivers petaflops AI performance Shares Image credit: Nvidia Nvidia unveiled generation worlds advanced AI launch new Nvidia DGX A100.The DGX A100 deliver petaflops AI performance consolidates power capabilities entire data center single platform time. The available order shipped US Department Energys DOE Argonne National Laboratory use AI computing power better understand fight Covid19.In press release, founder CEO Nvidia, Jensen Huang explained DGX A100 help advance development AI, saying:Nvidia makes Linux push Cumulus Networks dealIBM CEO: Every company AI companyThese best AI platforms businessNVIDIA DGX A100 ultimate instrument advancing AI. NVIDIA DGX AI built endtoend machine learning workflow data analytics training inference. And giant performance leap new DGX, machine learning engineers stay ahead exponentially growing size AI models data.Nvidia DGX A100Nvidias DGX A100 systems integrate companys new A100 Tensor Core GPUs total 320GB memory train largest AI datasets. The features latest highspeed Nvidia Mellanox HDR 200Gbps interconnects.When working smaller workloads, DGX A100 partitioned 56 instances A100s multiinstance GPU feature. This enables enterprise optimize computing power resources demand order accelerate variety diverse workloads, including data analytics, training inference, single, fully integrated, software defined platform.The University Florida plans deploy DGX A100 systems infuse AI entire curriculum aim fostering AIenabled workforce.Nvidias new AI available partner network resellers worldwide starting 199,000 164,412. The companys storage technology providers, including DDN Storage, Dell, IBM, NetApp, Pure Storage Vast, plan integrate DGX A100 offerings.Weve highlighted best dedicated server hosting providers See Computing news Tech deals, prizes latest news Get best tech deals, reviews, product advice, competitions, unmissable tech news Thank signing TechRadar. You receive verification email shortly. There problem. Please refresh try again. No spam, promise. You unsubscribe time share details permission. Most Popular Most Shared 1 1MORE True Wireless ANC review 2 AMD threatens wreck Nvidias launch party monster graphics card release 3 GTA 5 PC free Epic Games Store heres download 4 PS5 release date, specs, news features Sonys PlayStation 5 5 Best free games 2020: free games download PC 1 Get incredible deals Samsung smartphones quick 2 Huge iPhone 12 Max leak told phones 3 GTA 5 cheats: Cheat codes phone numbers PS4, Xbox One PC 4 Galaxy Note 20 fix major Samsung flagship annoyance 5 iPhone 12: svelati nomi, prezzo e specifiche dei quattro modelli TechRadar Future plc, international media group leading digital publisher. Visit corporate site. Terms conditions Privacy policy policy Advertise Web notifications Future Publishing Australia ABN: 96 734 906 323 PO Box 1077, Mount St, North Sydney NSW 2059. | 2,020 | [
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https://www.theverge.com/2020/9/3/21419632/how-google-maps-predicts-traffic-eta-ai-machine-learning-deepmind | 2020-09-03T00:00:00 | en | How Google Maps uses DeepMind’s AI tools to predict your arrival time - The Verge |
How Google Maps uses DeepMind’s AI tools to predict your arrival time - The Verge
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Sep 3, 2020, 10:00am EDT
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Google Maps is one of the company’s most widely-used products, and its ability to predict upcoming traffic jams makes it indispensable for many drivers. Each day, says Google, more than 1 billion kilometers of road are driven with the app’s help. But, as the search giant explains in a blog post today, its features have got more accurate thanks to machine learning tools from DeepMind, the London-based AI lab owned by Google’s parent company Alphabet.
In the blog post, Google and DeepMind researchers explain how they take data from various sources and feed it into machine learning models to predict traffic flows. This data includes live traffic information collected anonymously from Android devices, historical traffic data, information like speed limits and construction sites from local governments, and also factors like the quality, size, and direction of any given road. So, in Google’s estimates, paved roads beat unpaved ones, while the algorithm will decide it’s sometimes faster to take a longer stretch of motorway than navigate multiple winding streets.
Google says using DeepMind’s AI tools have improved the accuracy of ETAs in Maps by up to 50 percent.
Image: Google
All this information is fed into neural networks designed by DeepMind that pick out patterns in the data and use them to predict future traffic. Google says its new models have improved the accuracy of Google Maps’ real-time ETAs by up to 50 percent in some cities. It also notes that it’s had to change the data it uses to make these predictions following the outbreak of COVID-19 and the subsequent change in road usage.
“We saw up to a 50 percent decrease in worldwide traffic when lockdowns started in early 2020.”
“We saw up to a 50 percent decrease in worldwide traffic when lockdowns started in early 2020,” writes Google Maps product manager Johann Lau. “To account for this sudden change, we’ve recently updated our models to become more agile — automatically prioritizing historical traffic patterns from the last two to four weeks, and deprioritizing patterns from any time before that.”
The models work by dividing maps into what Google calls “supersegments” — clusters of adjacent streets that share traffic volume. Each of these is paired with an individual neural network that makes traffic predictions for that sector. It isn’t clear how large these supersegments are, but Googles notes they have “dynamic sizes,” suggesting they change as the traffic does, and that each one draws on “terabytes” of data. The key to this process is the use of a special type of neural network known as Graph Neural Network, which Google says is particularly well-suited to processing this sort of mapping data.
For more detail, check our the blog posts from Google and DeepMind here and here.
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| How Google Maps uses DeepMind’s AI tools to predict your arrival time | How Google Maps uses DeepMindsAItools predict arrival time The Verge Skip main content clock menu morearrow yes The Verge home Follow The Verge online: Follow The Verge Facebook Follow The Verge Twitter RSS feed stories The Verge Log sign Log In Sign Up Site search The Verge main menu Tech Reviews Science Creators Entertainment Video Features Podcasts Newsletters Store More Tech Video Amazon Apple Facebook Google Microsoft Samsung Tesla AI Cars Cybersecurity Mobile Policy Privacy Scooters All Tech Reviews Phones Laptops Headphones Cameras Tablets Smartwatches Speakers Drones Accessories Buying Guides Howtos Deals More Verge Reviews Science Video Space NASA SpaceX Health Energy Environment All Science Creators YouTube Instagram Adobe Kickstarter Tumblr Art Club Cameras Photography Whats bag? All Creators Entertainment Film TV Games Fortnite Game Thrones Books Comics Music All Entertainment Video Features Podcasts Newsletters Store Filed under: Google Apps Tech How Google Maps uses DeepMinds AI tools predict arrival time New, 2 comments A lot data lot neural networks By James Vincent Sep 3, 2020, 10:00am EDT Share story Share Facebook Share Twitter Share All sharing options Share All sharing options for: How Google Maps uses DeepMindsAItools predict arrival time Linkedin Reddit Pocket Flipboard Email Photo Thomas TrutschelPhotothek Getty Images Google Maps companys widelyused products, ability predict upcoming traffic jams makes indispensable drivers. Each day, says Google, 1 billion kilometers road driven apps help. But, search giant explains blog post today, features got accurate thanks machine learning tools DeepMind, Londonbased AI lab owned Googles parent company Alphabet. In blog post, Google DeepMind researchers explain data sources feed machine learning models predict traffic flows. This data includes live traffic information collected anonymously Android devices, historical traffic data, information like speed limits construction sites local governments, factors like quality, size, direction given road. So, Googles estimates, paved roads beat unpaved ones, algorithm decide faster longer stretch motorway navigate multiple winding streets. Google says DeepMinds AI tools improved accuracy ETAs Maps 50 percent. Image: Google All information fed neural networks designed DeepMind pick patterns data use predict future traffic. Google says new models improved accuracy Google Maps realtime ETAs 50 percent cities. It notes change data uses predictions following outbreak COVID19 subsequent change road usage. We saw 50 percent decrease worldwide traffic lockdowns started early 2020. We saw 50 percent decrease worldwide traffic lockdowns started early 2020, writes Google Maps product manager Johann Lau. To account sudden change, weve recently updated models agile automatically prioritizing historical traffic patterns weeks, deprioritizing patterns time that. The models work dividing maps Google calls supersegments clusters adjacent streets share traffic volume. Each paired individual neural network makes traffic predictions sector. It isnt clear large supersegments are, Googles notes dynamic sizes, suggesting change traffic does, draws terabytes data. The key process use special type neural network known Graph Neural Network, Google says particularly wellsuited processing sort mapping data. For detail, check blog posts Google DeepMind here. Next Up In Tech Verge Deals This Google Nest Wifi deal includes router Points 280 Save 70 mesh WiFi subtle design easy set Western Digitals fast 500GB NVMe SSD lowest price Plus, Intels 9th Gen Core i9 CPU includes Marvels Avengers free Razers Blade 15 capable gaming laptop thats 400 Amazon For power, Lenovos Legion 7i RTX 2070 sale More Verge Deals Sign newsletter Processor A newsletter computers Email required By signing up, agree Privacy Notice European users agree data transfer policy. Loading comments... Chorus Terms Use Privacy Notice Policy Do Not Sell My Personal Info Licensing FAQ Accessibility Platform Status Tip Us Community Guidelines About Ethics Statement Vox MediaVox Media Vox Media logo. Advertise Jobs @ Vox Media 2020 Vox Media, LLC. Share story Twitter Facebook | 2,020 | [
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http://whatsuppub.com/news/national/article_7f5f15aa-eff7-59d9-b17f-9c6a5dadbc17.html | 2020-06-11T00:00:00 | en | Industrial AI Company, Veros Systems, Closes Series C Funding | National | whatsuppub.com |
Industrial AI Company, Veros Systems, Closes Series C Funding | National | whatsuppub.com
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Industrial AI Company, Veros Systems, Closes Series C Funding
By Veros Systems
Jun 11, 2020
Jun 11, 2020
Updated 34 min ago
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AUSTIN, Texas, June 11, 2020 /PRNewswire/ -- Veros Systems ("Veros"), a leading industrial artificial intelligence company, today announced the close of a $2.2M Series C financing. Shell Ventures led the round that included existing venture capital investors Austin Ventures, Chevron Technology Ventures, and LiveOak Venture Partners.Veros uses electrical data, alone, to monitor the health and performance of industrial machinery. Veros will use Series C capital to expand its installed base and capabilities for Cloud computing. "Veros is working to allow industrial motors to talk," says Jim Dechman, Veros president & CEO. "With over 50,000,000 motors running every minute of every day, this new information will help factories run more efficiently and reliably, all with no new sensors." Last year Siemens and Veros announced that Veros monitoring will be deployed with new shipments of Siemens Large Drive Applications (LDA). "Siemens envisions a future of utilizing existing variable speed drives and other power distribution equipment to not only provide power to the world's motors, but to continuously monitor industrial equipment performance and health," said Scott Conner, general manager, Siemens Medium Voltage Drives."Five of these Siemens LDA installations are monitoring subsea pumps at Shell's Perdido Gulf of Mexico spar. "Veros products are deployed on multiple Shell assets ranging from LNG Marine, Petrochemical, FPSO and offshore. Results from the Perdido installation were recently highlighted in Shell's TechXplorer magazine (www.verossystems.com/newsroom)," Giancarlo Savini, Implementation Manager at Shell Ventures said.About Veros SystemsVeros Systems applies innovative data capture techniques and machine learning algorithms to electrical waveforms in industrial machines to continuously monitor rotating equipment health, gain real-time insights into operating performance and proactively predict failures. Enterprises implement Veros technology on a standalone monitoring platform, in the Cloud, or embedded within existing power distribution, metering and monitoring hardware to increase uptime, improve efficiency and optimize maintenance. For more information, visit www.verossystems.com.For more information:Jim Dechman(512) [email protected]
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| Industrial AI Company, Veros Systems, Closes Series C Funding | Industrial AI Company, Veros Systems, Closes Series C Funding National Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home Submit Event Best Best Calendar Submit event Contests Features Music Sports Border Eats El Paso EEdition Archives Calendar Articles 78 El Paso, TX 79902 Today Morning sunshine way isolated thunderstorms afternoon. High near 95F. Winds SE 10 20 mph. Chance rain 30.. Tonight Some clouds. Low 72F. Winds E 10 20 mph. Updated: June 11, 2020 @ 7:21 Full Forecast Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Facebook Twitter YouTube Instagram Toggle navigation Home Submit Event Best Best Calendar Submit event Contests Features Music Sports Border Eats El Paso EEdition Archives Calendar Articles Industrial AI Company, Veros Systems, Closes Series C Funding By Veros Systems Jun 11, 2020 Jun 11, 2020 Updated 34 min ago Facebook Twitter WhatsApp SMS Email Image courtesy Siemens By Veros Systems Facebook Twitter WhatsApp SMS Email Print Save AUSTIN, Texas, June 11, 2020 PRNewswire Veros Systems Veros, leading industrial artificial intelligence company, today announced close 2.2M Series C financing. Shell Ventures led round included existing venture capital investors Austin Ventures, Chevron Technology Ventures, LiveOak Venture Partners.Veros uses electrical data, alone, monitor health performance industrial machinery.Veros use Series C capital expand installed base capabilities Cloud computing. Veros working allow industrial motors talk, says Jim Dechman, Veros president CEO. With 50,000,000 motors running minute day, new information help factories run efficiently reliably, new sensors.Last year Siemens Veros announced Veros monitoring deployed new shipments Siemens Large Drive Applications LDA. Siemens envisions future utilizing existing variable speed drives power distribution equipment provide power worlds motors, continuously monitor industrial equipment performance health, said Scott Conner, general manager, Siemens Medium Voltage Drives.Five Siemens LDA installations monitoring subsea pumps Shells Perdido Gulf Mexico spar. Veros products deployed multiple Shell assets ranging LNG Marine, Petrochemical, FPSO offshore. Results Perdido installation recently highlighted Shells TechXplorer magazine Giancarlo Savini, Implementation Manager Shell Ventures said.About Veros SystemsVeros Systems applies innovative data capture techniques machine learning algorithms electrical waveforms industrial machines continuously monitor rotating equipment health, gain realtime insights operating performance proactively predict failures. Enterprises implement Veros technology standalone monitoring platform, Cloud, embedded existing power distribution, metering monitoring hardware increase uptime, improve efficiency optimize maintenance. For information, visit information:Jim Dechman512 6862400241480 Love 0 Funny 0 Wow 0 Sad 0 Angry 0 Facebook Twitter WhatsApp SMS Email Print Save Tags Prnewswire Deadline submit noon Tuesday event Sundays print edition. Go form Most Popular Articles Images Videos Commented ArticlesVista Proppants Logistics Files Reorganize Under Chapter 11Golds Gym Names 2020 Winners In Its Annual 12Week ChallengeIbn Sina Foundation CVS Health Launch COVID19 Testing Images VideosSorry, recent results popular videos. CommentedSorry, recent results popular commented articles. Sections Home Features Arts Culture Nightlife Music Sports Food Columns Photos Services Us Submission Forms Advertise Staff History Submit News 120 Porfirio Diaz St. El Paso, TX 79902 Phone: 9155344422 Email: features Connect Us Facebook Twitter YouTube Instagram 2020 , 120 Porfirio Diaz St. El Paso, TX Terms Use Powered BLOX Content Management System . | 2,020 | [
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Electronics / Emerging News / Featured / Market ReportsConversational AI Platforms Market Insights, Future Trends, On-going Demand, Opportunities, Segmentation, and Forecast till 2027
February 19, 2020 - by [email protected] - Leave a Comment
Global Conversational AI Platforms Market Size, Share, Growth, Status and Forecast 2020-2027
This thoroughly analysed report provides key statistics and Trend on the market position of the Conversational AI Platforms manufacturers and is an industrious source of guidance and direction for companies and individuals interested in the industry. Initially, the report provides a basic information of Industries including its definitions, manufacturing technologies and applications. After that the report explores the international major industry players in detail.
This report presents the company profile, product specifications, capacity, market value, production value, manufacturers, and 2015-2020 market shares for each company. Through the statistical analysis, the report illustrate capacity, production, production value, cost/gain, supply/demand and import/export of worldwide total market of Conversational AI Platforms Industry. The entire market is further divided by company, by country, and by application/type for the competitive landscape analysis which identifies direct or indirect competitors. Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out.
Sample Copy on Conversational AI Platforms Market Report
Conversational AI Platforms Market report focuses on the global top key players:
Acobot, ExecVision, FunnelDash, Gong.io, Activechat, LivePerson, Marchex, LiveChat, Brazen, Continually, SmatSocial, Kommunicate, Solvemate, Hellomybot, Bold360, Chatfuel, Conversica, Smith.ai, Locobuzz Solutions, Recast.AI, Dialogflow, ApexChat, BotXO, SoundHound, OneReach.ai, and Synthetix (get sample for more detail)
The report then estimates 2020-2027 market development trends of Conversational AI Platforms Industry. At the end, the report makes some important approach for a new project of this Industry before evaluating its feasibility. Overall, the report provides an in-depth insight of 2020-2027 global Conversational AI Platforms industry covering all important parameters.
The report can answer the following questions:
What is the Worldwide (North America, South America, Europe, Africa, Middle East, Asia, China, and Japan) revenue, production, production value, consumption value, import and export of Conversational AI Platforms?
Who are the global key Players of Conversational AI Platforms industry? How are their operating situation (capacity, production, price, cost, gross and revenue)?
What are the types and applications of Conversational AI Platforms? What is the market share of each type and application?
What are the upstream raw materials and manufacturing equipment of Conversational AI Platforms? What is the manufacturing process?
Economic impact on Conversational AI Platforms industry and development trend.
What will be the Conversational AI Platforms market size and the growth rate in 2027?
What are the key factors driving the global Conversational AI Platforms industry?
What are the key market trends impacting the growth of the Conversational AI Platforms market?
What are the Conversational AI Platforms market challenges to market growth?
What are the market opportunities and threats faced by the vendors in the global Conversational AI Platforms market?
Objective of Studies:
To provide thorough analysis of the market structure along with forecast of the various segments and sub-segments of the global Conversational AI Platforms market.
To provide insights about factors affecting the market growth. To analyze the Conversational AI Platforms market based on various factors- price analysis, supply chain analysis, Porte five force analysis etc.
To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, Latin America and Rest of the World.
To provide country-wise analysis of the market with respect to the current market size and future prospective.
To provide country-wise analysis of the market for segment by application, product type and sub-segments.
To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market.
To track and analyze competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the global Conversational AI Platforms market.
Complete Report on Conversational AI Platforms Market
TABLE OF CONTENT:
Chapter One Global Conversational AI Platforms Market Overview
Chapter Two Conversational AI Platforms Market Data Analysis
Chapter Three Conversational AI Platforms Market Technical Data Analysis
Chapter Four Conversational AI Platforms Market Government Policy and News
Chapter Five Global Conversational AI Platforms Market Manufacturing Process and Cost Structure
Chapter Six 2020-2027 Conversational AI Platforms Market Productions Supply Sales Demand Market Status and Forecast
Chapter Seven Conversational AI Platforms Market Key Manufacturers
Chapter Eight Up and Down Stream Industry Analysis
Chapter Nine: Marketing Strategy -Conversational AI Platforms Market Analysis
Chapter Ten 2020-2027 Conversational AI Platforms Market Development Trend Analysis
Chapter Eleven Global Conversational AI Platforms Market New Project Investment Feasibility Analysis
……………………………………………………………Continued.
–Any special requirements about this report or similar kind of market research report, please let us know and we can provide custom report with the help of our best Research specialist team.
About Reports and Markets:
REPORTS AND MARKETS is not just another company in this domain but is a part of a veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world. The database of the company is updated on a daily basis. Our database contains a variety of industry verticals that include: Food Beverage, Automotive, Chemicals and Energy, IT & Telecom, Consumer, Healthcare, and many more. Each and every report goes through the appropriate research methodology, Checked from the professionals and analysts.
Contact Info –
Reports and Markets
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Manager – Partner Relations & International Marketing
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TaggedAcobotActivechatApexChatBold360BotXOBrazenChatfuelContinuallyConversational AI PlatformsConversational AI Platforms Industry AnalysisConversational AI Platforms MarketConversational AI Platforms Market AnalysisConversational AI Platforms Market InsightsConversational AI Platforms Market OpportunitiesConversational AI Platforms Market OutlookConversational AI Platforms Market Research CompaniesConversational AI Platforms Market SegmentationConversational AI Platforms Market StatusConversational AI Platforms Market TrendConversicaDialogflowExecVisionFunnelDashGong.ioGrowth In Conversational AI PlatformsHellomybotKommunicateLiveChatLivePersonLocobuzz SolutionsMarchexOneReach.aiRecast.AISmatSocialSmith.aiSolvemateSoundHoundTrends In Conversational AI Platforms Market
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| Conversational AI Platforms Market Insights, Future Trends, On-going Demand, Opportunities, Segmentation, and Forecast till 2027 | Conversational AI Platforms Market Insights, Future Trends, Ongoing Demand, Opportunities, Segmentation, Forecast till 2027 News Parent Skip content Top Menu February 19, 2020 Us Disclaimer Our Staff News Parent Bio TechnologyElectronicsEmerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports for: Main Menu Electronics Emerging News Featured Market ReportsConversational AI Platforms Market Insights, Future Trends, Ongoing Demand, Opportunities, Segmentation, Forecast till 2027 February 19, 2020 [emailprotected] Leave Comment Global Conversational AI Platforms Market Size, Share, Growth, Status Forecast 20202027 This thoroughly analysed report provides key statistics Trend market position Conversational AI Platforms manufacturers industrious source guidance direction companies individuals interested industry. Initially, report provides basic information Industries including definitions, manufacturing technologies applications. After report explores international major industry players detail. This report presents company profile, product specifications, capacity, market value, production value, manufacturers, 20152020 market shares company. Through statistical analysis, report illustrate capacity, production, production value, costgain, supplydemand importexport worldwide total market Conversational AI Platforms Industry. The entire market divided company, country, applicationtype competitive landscape analysis identifies direct indirect competitors. Analysis upstream raw materials, downstream demand, current market dynamics carried out. Sample Copy Conversational AI Platforms Market Report Conversational AI Platforms Market report focuses global key players: Acobot, ExecVision, FunnelDash, , Activechat, LivePerson, Marchex, LiveChat, Brazen, Continually, SmatSocial, Kommunicate, Solvemate, Hellomybot, Bold360, Chatfuel, Conversica, Smith.ai, Locobuzz Solutions, Recast.AI, Dialogflow, ApexChat, BotXO, SoundHound, OneReach.ai, Synthetix sample The report estimates 20202027 market development trends Conversational AI Platforms Industry. At end, report makes important approach new project Industry evaluating feasibility. Overall, report provides indepth insight 20202027 global Conversational AI Platforms industry covering important parameters. The report answer following questions: What Worldwide North America, South America, Europe, Africa, Middle East, Asia, China, Japan revenue, production, production value, consumption value, import export Conversational AI Platforms? Who global key Players Conversational AI Platforms industry? How operating situation capacity, production, price, cost, gross revenue? What types applications Conversational AI Platforms? What market share type application? What upstream raw materials manufacturing equipment Conversational AI Platforms? What manufacturing process? Economic impact Conversational AI Platforms industry development trend. What Conversational AI Platforms market size growth rate 2027? What key factors driving global Conversational AI Platforms industry? What key market trends impacting growth Conversational AI Platforms market? What Conversational AI Platforms market challenges market growth? What market opportunities threats faced vendors global Conversational AI Platforms market? Objective Studies: To provide thorough analysis market structure forecast segments subsegments global Conversational AI Platforms market. To provide insights factors affecting market growth. To analyze Conversational AI Platforms market based factors price analysis, supply chain analysis, Porte force analysis etc. To provide historical forecast revenue market segments subsegments respect main geographies countries North America, Europe, Asia, Latin America Rest World. To provide countrywise analysis market respect current market size future prospective. To provide countrywise analysis market segment application, product type subsegments. To provide strategic profiling key players market, comprehensively analyzing core competencies, drawing competitive landscape market. To track analyze competitive developments joint ventures, strategic alliances, mergers acquisitions, new product developments, research developments global Conversational AI Platforms market. Complete Report Conversational AI Platforms Market TABLE OF CONTENT: Chapter One Global Conversational AI Platforms Market Overview Chapter Two Conversational AI Platforms Market Data Analysis Chapter Three Conversational AI Platforms Market Technical Data Analysis Chapter Four Conversational AI Platforms Market Government Policy News Chapter Five Global Conversational AI Platforms Market Manufacturing Process Cost Structure Chapter Six 20202027 Conversational AI Platforms Market Productions Supply Sales Demand Market Status Forecast Chapter Seven Conversational AI Platforms Market Key Manufacturers Chapter Eight Up Down Stream Industry Analysis Chapter Nine: Marketing Strategy Conversational AI Platforms Market Analysis Chapter Ten 20202027 Conversational AI Platforms Market Development Trend Analysis Chapter Eleven Global Conversational AI Platforms Market New Project Investment Feasibility Analysis Continued. Any special requirements report similar kind market research report, let know provide custom report help best Research specialist team. About Reports Markets: REPORTS AND MARKETS company domain veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis forecast data wide range sectors government private agencies world. The database company updated daily basis. Our database contains variety industry verticals include: Food Beverage, Automotive, Chemicals Energy, IT Telecom, Consumer, Healthcare, more. Each report goes appropriate research methodology, Checked professionals analysts. Info Reports Markets Sanjay Jain Manager Partner Relations International Marketing Connect Us:LinkedInFacebookTwitter Ph: 13523530818 US TaggedAcobotActivechatApexChatBold360BotXOBrazenChatfuelContinuallyConversational AI PlatformsConversational AI Platforms Industry AnalysisConversational AI Platforms MarketConversational AI Platforms Market AnalysisConversational AI Platforms Market InsightsConversational AI Platforms Market OpportunitiesConversational AI Platforms Market OutlookConversational AI Platforms Market Research CompaniesConversational AI Platforms Market SegmentationConversational AI Platforms Market StatusConversational AI Platforms Market TrendConversicaDialogflowExecVisionFunnelDashGong.ioGrowth In Conversational AI PlatformsHellomybotKommunicateLiveChatLivePersonLocobuzz SolutionsMarchexOneReach.aiRecast.AISmatSocialSmith.aiSolvemateSoundHoundTrends In Conversational AI Platforms Market Related Posts Hyperscale Data Center Market Is Booming Worldwide Key Players: Dell, HPE, IBM, Huawei, Ericsson, Cisco, Nvidia, Lenovo, Cavium, Quanta Computer February 19, 2020 Commercial Real Estate Software Market Rising Growth With Keyplayer: Brokermint, CoStar Real Estate Manager, ARGUS Software February 19, 2020 Global automotive OEMs market Business Development Strategies Future Prospects Volkswagen AG; TOYOTA MOTOR CORPORATION; General Motors; MITSUBISHI MOTORS CORPORATION February 19, 2020 Post navigation Previous Article Global automotive OEMs market Business Development Strategies Future Prospects Volkswagen AG; TOYOTA MOTOR CORPORATION; General Motors; MITSUBISHI MOTORS CORPORATIONNext Article Commercial Real Estate Software Market Rising Growth With Keyplayer: Brokermint, CoStar Real Estate Manager, ARGUS Software About [emailprotected] View posts [emailprotected] Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts Commercial Real Estate Software Market Rising Growth With Keyplayer: Brokermint, CoStar Real Estate Manager, ARGUS Software Conversational AI Platforms Market Insights, Future Trends, Ongoing Demand, Opportunities, Segmentation, Forecast till 2027 Global automotive OEMs market Business Development Strategies Future Prospects Volkswagen AG; TOYOTA MOTOR CORPORATION; General Motors; MITSUBISHI MOTORS CORPORATION Shield Machine Market 2020 CAGR, Opportunities, Competitive Landscape, Forecast To 2026 Global Optical Inspection System Market Assessment 20202026: Development, Innovations And Forecast Founded 2K18,News Parentfocuses company news, research, andanalysis, moreimportantin recentlys uncertain investment environment. We provide comprehensive coverage mostimportantnews counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. 2020 News Parent. Powered WordPress HitMag. | 2,020 | [
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] | 1 | POSITIVE | 297 |
https://thinkcuriouser.com/news/614452/artificial-intelligence-ai-in-construction-market-report-2020-2027-competitive-analysis-proposal-strategy-top-addressable-targets-key-requirements-analysis-by-reports-and-data/ | 2020-11-09T00:00:00 | en | Artificial Intelligence (AI) in Construction Market Report (2020-2027), Competitive Analysis, Proposal Strategy, Top Addressable Targets, Key Requirements, Analysis by Reports and Data – The Think Curiouser |
Artificial Intelligence (AI) in Construction Market Report (2020-2027), Competitive Analysis, Proposal Strategy, Top Addressable Targets, Key Requirements, Analysis by Reports and Data – The Think Curiouser
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Artificial Intelligence (AI) in Construction Market Report (2020-2027), Competitive Analysis, Proposal Strategy, Top Addressable Targets, Key Requirements, Analysis by Reports and Data
Post author
By leos.ravi
Post date
November 9, 2020
Artificial Intelligence (AI) in Construction Market Report
The research study on the Global Artificial Intelligence (AI) in Construction Market is a thorough investigation of the value and supply chain of the market and offers all-inclusive data about the industry. The report also covers insightful information about pricing, cost, value, capacity, gross revenue, and profit margins with reference to historical analysis and forecast estimation. The report also strives to identify demands and trends in different sectors of the Artificial Intelligence (AI) in Construction market in major geographies of the world.
The Artificial Intelligence (AI) in Construction market has witnessed dynamic changes in trends and demands owing to the ongoing COVID-19 pandemic. The report provides a detailed outlook on how the pandemic has affected the key segments of the Artificial Intelligence (AI) in Construction industry. The report includes an in-depth impact analysis of the COVID-19 pandemic on the overall Artificial Intelligence (AI) in Construction industry and covers a futuristic impact scenario.
Get a sample of the report @ https://www.reportsanddata.com/sample-enquiry-form/1572
The report studies the market dynamics to identify and scrutinize the strategic initiatives and tactics undertaken by the industry players in order to gain a robust footing in the market and to achieve a substantial global position. It provides exhaustive analysis and imparts insightful data to help the readers understand the Artificial Intelligence (AI) in Construction industry in detail and gain a competitive advantage over other players. The report also provides strategic recommendations to new and emerging players to help them formulate better entry and investment strategies.
The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include:
IBM, Renoworks Software, Microsoft, Autodesk, SAP, Oracle, Alice Technologies, Building System Planning, eSUB, Askporter, Darktrace, SmarTVid.Io, Jaroop, Aurora Computer Services, Predii, Lili.Ai, Deepomatic, Assignar, Beyond Limits, Coins Global, Plangrid, Doxel, and Bentley Systems, among others
The report offers a comprehensive analysis of the Artificial Intelligence (AI) in Construction market inclusive of product portfolio, categories, applications, and a comprehensive analysis of the value chain structure. The study investigates several factors influencing the growth of the market and provides a competitive advantage to the readers.
The Artificial Intelligence (AI) in Construction market report is an investigative study that provides insights into opportunities, limitations, and barriers encountered by the companies that influence or hinder the growth of the industry. Overall the report provides valuable information and an overview of the market scenario to gain a better understanding of the market.
Request a discount on the report @ https://www.reportsanddata.com/discount-enquiry-form/1572
Technology Outlook (Revenue, USD Million; 2016-2026)
Machine Learning and Deep Learning
Natural Language Processing
Component Outlook (Revenue, USD Million; 2016-2026)
Solutions
Software
Hardware
Services
Support and Maintenance
System Integration
Training and consulting
Organization Size Outlook (Revenue, USD Million; 2016-2026)
Small and Medium-Sized Enterprises
Large Enterprises
Deployment Type Outlook (Revenue, USD Million; 2016-2026)
Cloud
On-premises
Phase Outlook (Revenue, USD Million; 2016-2026)
Pre-construction
Construction stage
Post-construction
Applications Outlook (Revenue, USD Million; 2016-2026)
Project management
Field management
Risk management
Schedule management
Supply chain management
Others
End-use Outlook (Revenue, USD Million; 2016-2026)
Planning and Design
Safety
Equipment
Monitoring and Maintenance\
The report covers an extensive regional analysis and market estimation in each region and covers key geographical regions such as North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa.
To read more about the report, visit @ https://www.reportsanddata.com/report-detail/artificial-intelligence-ai-in-construction-market
Key Point Summary of the Report:
Comprehensive analysis of the market share, market size, and growth rate during the forecast period
Segmentation of market on the basis of types, applications, leading regions, market value and volume, industry verticals, and end-user industries
Accurate market forecast considering the historical data, current market scenario, and a futuristic outlook
Brief overview and understanding of the demand and supply ratio, production and consumption rates, and competitive landscape mapping
In-depth regional analysis and market forecast for leading geographies of the world
Extensive analysis using advanced analytical tools such as SWOT analysis, Porter’s Five Forces analysis, feasibility analysis, and investment return analysis to give an accurate insight into the market and its players
Thank you for reading our report. For further queries, please connect with us to know more about the report and its customization. Our team will ensure the report is customized accurately to meet your requirements.
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Artificial Intelligence (AI) in Construction Industry, Artificial Intelligence (AI) in Construction Market, Artificial Intelligence (AI) in Construction Market 2020, Artificial Intelligence (AI) in Construction Market COVID-19 Impact Analysis Report, Artificial Intelligence (AI) in Construction Market forecast, Artificial Intelligence (AI) In Construction Market Growth, Artificial Intelligence (AI) in Construction Market share, Artificial Intelligence (AI) in Construction Market size, Artificial Intelligence (AI) In Construction Market Trend
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| Artificial Intelligence (AI) in Construction Market Report (2020-2027), Competitive Analysis, Proposal Strategy, Top Addressable Targets, Key Requirements, Analysis by Reports and Data | Artificial Intelligence AI Construction Market Report 20202027, Competitive Analysis,Proposal Strategy, Top Addressable Targets, Key Requirements, Analysis Reports Data The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories News Artificial Intelligence AI Construction Market Report 20202027, Competitive Analysis,Proposal Strategy, Top Addressable Targets, Key Requirements, Analysis Reports Data Post author By leos.ravi Post date November 9, 2020 Artificial Intelligence AI Construction Market Report The research study Global Artificial Intelligence AI Construction Market thorough investigation value supply chain market offers allinclusive data industry. The report covers insightful information pricing, cost, value, capacity, gross revenue, profit margins reference historical analysis forecast estimation. The report strives identify demands trends different sectors Artificial Intelligence AI Construction market major geographies world. The Artificial Intelligence AI Construction market witnessed dynamic changes trends demands owing ongoing COVID19 pandemic. The report provides detailed outlook pandemic affected key segments Artificial Intelligence AI Construction industry. The report includes indepth impact analysis COVID19 pandemic overall Artificial Intelligence AI Construction industry covers futuristic impact scenario. Get sample report @ The report studies market dynamics identify scrutinize strategic initiatives tactics undertaken industry players order gain robust footing market achieve substantial global position. It provides exhaustive analysis imparts insightful data help readers understand Artificial Intelligence AI Construction industry gain competitive advantage players. The report provides strategic recommendations new emerging players help formulate better entry investment strategies. The report covers extensive analysis key market players market, business overview, expansion plans, strategies. The key players studied report include: IBM, Renoworks Software, Microsoft, Autodesk, SAP, Oracle, Alice Technologies, Building System Planning, eSUB, Askporter, Darktrace, SmarTVid.Io, Jaroop, Aurora Computer Services, Predii, Lili.Ai, Deepomatic, Assignar, Beyond Limits, Coins Global, Plangrid, Doxel, Bentley Systems, The report offers comprehensive analysis Artificial Intelligence AI Construction market inclusive product portfolio, categories, applications, comprehensive analysis value chain structure. The study investigates factors influencing growth market provides competitive advantage readers. The Artificial Intelligence AI Construction market report investigative study provides insights opportunities, limitations, barriers encountered companies influence hinder growth industry. Overall report provides valuable information overview market scenario gain better understanding market. Request discount report @ Technology Outlook Revenue, USD Million; 20162026 Machine Learning Deep Learning Natural Language Processing Component Outlook Revenue, USD Million; 20162026 Solutions Software Hardware Services Support Maintenance System Integration Training consulting Organization Size Outlook Revenue, USD Million; 20162026 Small MediumSized Enterprises Large Enterprises Deployment Type Outlook Revenue, USD Million; 20162026 Cloud Onpremises Phase Outlook Revenue, USD Million; 20162026 Preconstruction Construction stage Postconstruction Applications Outlook Revenue, USD Million; 20162026 Project management Field management Risk management Schedule management Supply chain management Others Enduse Outlook Revenue, USD Million; 20162026 Planning Design Safety Equipment Monitoring Maintenance\ The report covers extensive regional analysis market estimation region covers key geographical regions North America, Europe, AsiaPacific, Latin America, Middle East Africa. To read report, visit @ Key Point Summary Report: Comprehensive analysis market share, market size, growth rate forecast period Segmentation market basis types, applications, leading regions, market value volume, industry verticals, enduser industries Accurate market forecast considering historical data, current market scenario, futuristic outlook Brief overview understanding demand supply ratio, production consumption rates, competitive landscape mapping Indepth regional analysis market forecast leading geographies world Extensive analysis advanced analytical tools SWOT analysis, Porters Five Forces analysis, feasibility analysis, investment return analysis accurate insight market players Thank reading report. For queries, connect know report customization. Our team ensure report customized accurately meet requirements. 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Us: John Watson Head Business Development Reports DataWeb: Direct Line:12127101370 Email:[emailprotected] Connect us: BlogsLinkedInTwitter Tags Artificial Intelligence AI Construction Industry, Artificial Intelligence AI Construction Market, Artificial Intelligence AI Construction Market 2020, Artificial Intelligence AI Construction Market COVID19 Impact Analysis Report, Artificial Intelligence AI Construction Market forecast, Artificial Intelligence AI In Construction Market Growth, Artificial Intelligence AI Construction Market share, Artificial Intelligence AI Construction Market size, Artificial Intelligence AI In Construction Market Trend Fire Alarms Market 2020 Production, Supply, Demand, Consumption, Sale, Price, Revenue Forecast 2027 Point Care PoC Diagnostics Market Research Analysis Expert: Market Size, Latest Trends, Consumption ratio Market Statistics 20202027 Space Energy News Finance for: Recent Posts Artemether Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: KPC Pharmaceuticals, Shreeji Pharma International, HOFON, Guangzhou Hanfang Pharmaceutical, More Automotive Power Tailgate COVID19 Version Market 2020 Updated Covid 19 Crisis For Future Development By 2026 Brose, HUF, Johnson Electric, Mitsuba Mobile Hard Disk Market Generate Huge Revenue Industry 2026 Competitive Landscape Configure Price Quote Software Market 2020 Global Industry Size, Volume, Trends Revenue Forecast 2025 Impact Existing Emerging Brominated Butyl Rubber Sales Market Trends 20202029 2020 The Think Curiouser Powered WordPress To Up | 2,020 | [
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] | 1 | POSITIVE | 298 |
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Wearable AI Market Growth, Size, Share and Forecast 2020-2026
April 11, 2020
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Detailed Study on the Global Wearable AI Market
A recent market study throws light on some of the leading factors that are likely to influence the growth of the Wearable AI market in the upcoming decade. The well-researched market study touches upon the growth potential of various budding market players in the current Wearable AI market landscape. Moreover, established players, stakeholders, and investors can leverage the data in the report to formulate effective growth strategies.
As per the report, the Wearable AI market is forecasted to reach a value of ~US$XX by the end of 2029 and grow at a CAGR of ~XX% through the forecast period (2019-2029). The key dynamics of the Wearable AI market including the drivers, restraints, opportunities, and trends are thoroughly analyzed in the presented report.
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The Research Aims to Addresses the Following Doubts Pertaining to the Wearable AI Market
Which end-user is likely to play a crucial role in the development of the Wearable AI market?
Which regional market is expected to dominate the Wearable AI market in 2019?
How are consumer trends impacting the operations of market players in the current scenario of the Wearable AI market?
Why are market players eyeing opportunities in region 1?
What are the growth prospects of the Wearable AI market in region 1 and region 2?
Cut-down rates for first-time buyers! Offer expires soon!
Make An Enquiry About This Report @ https://www.researchmoz.com/enquiry.php?type=E&repid=2042659&source=atm
Wearable AI Market Segmentation
Competitive Landscape
The competitive landscape section of the report elaborates on the recent developments and innovations introduced by prominent players in the Wearable AI market. The growth potential, revenue growth, product range, and pricing strategies of each market player in inspected in the report with precision.
End-use Industry Assessment
The report segments the Wearable AI market on the basis of end-use industry and offers a detailed understanding of the supply-demand ratio and consumption pattern of the Wearable AI in each end-use industry.
The report firstly introduced the Wearable AI basics: definitions, classifications, applications and market overview; product specifications; manufacturing processes; cost structures, raw materials and so on. Then it analyzed the world’s main region market conditions, including the product price, profit, capacity, production, supply, demand and market growth rate and forecast etc. In the end, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis.
The report includes six parts, dealing with: 1.) Basic Information; 2.) Asia Wearable AI Market; 3.) North American Wearable AI Market; 4.) European Wearable AI Market; 5.) Market Entry and Investment Feasibility;6.) Report Conclusion.
You can Buy This Report from Here @ https://www.researchmoz.com/checkout?rep_id=2042659&licType=S&source=atm
Essential Findings of the Wearable AI Market Report:
Ongoing and pipeline R&D projects in the Wearable AI market sphere
Marketing and promotional strategies adopted by tier-1 companies in the Wearable AI market
Current and future prospects of the Wearable AI market in various regional markets
Y-o-Y growth of the different segments and sub-segments in the Wearable AI market
The domestic and international presence of leading market players in the Wearable AI market
Author Recent Posts [email protected] Latest posts by [email protected] (see all) General LightingMarket – Revolutionary Trends 2025 - April 11, 2020 Flavour Enhancers Market : Analysis and In-depth study on market Size Trends, Emerging Growth Factors and Forecasts to 2017 to 2026 - April 11, 2020 Hardware-in-the-Loop SimulationMarket Projected to Experience Major Revenue Boost During the Period Between 2019-2026 - April 11, 2020
Tags: China Wearable AI Market Trend, Europe Wearable AI Market Growth, UK Wearable AI Market, US Wearable AI, Wearable AI, Wearable AI Industry, Wearable AI Market, Wearable AI Market Intelligence
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| Wearable AI Market Growth, Size, Share and Forecast 2020-2026 | Wearable AI Market Growth, Size, Share Forecast 20202026 Daily Science Daily Science Science Market Research Menu Menu Market Reports Science News Industry Analytics Industry Reports Market Outlook Business Opportunity Emerging Trends Growth Prospects Market Study Wearable AI Market Growth, Size, Share Forecast 20202026 April 11, 2020 No Comments Detailed Study Global Wearable AI Market A recent market study throws light leading factors likely influence growth Wearable AI market upcoming decade. The wellresearched market study touches growth potential budding market players current Wearable AI market landscape. Moreover, established players, stakeholders, investors leverage data report formulate effective growth strategies. As report, Wearable AI market forecasted reach value USXX end 2029 grow CAGR XX forecast period 20192029. The key dynamics Wearable AI market including drivers, restraints, opportunities, trends thoroughly analyzed presented report. Request Sample Report @ The Research Aims Addresses Following Doubts Pertaining Wearable AI Market Which enduser likely play crucial role development Wearable AI market? Which regional market expected dominate Wearable AI market 2019? How consumer trends impacting operations market players current scenario Wearable AI market? Why market players eyeing opportunities region 1? What growth prospects Wearable AI market region 1 region 2? Cutdown rates firsttime buyers Offer expires soon Make An EnquiryAbout This Report @ Wearable AI Market Segmentation Competitive Landscape The competitive landscape section report elaborates recent developments innovations introduced prominent players Wearable AI market. The growth potential, revenue growth, product range, pricing strategies market player inspected report precision. Enduse Industry Assessment The report segments Wearable AI market basis enduse industry offers detailed understanding supplydemand ratio consumption pattern Wearable AI enduse industry. The report firstly introduced Wearable AI basics: definitions, classifications, applications market overview; product specifications; manufacturing processes; cost structures, raw materials on. Then analyzed worlds main region market conditions, including product price, profit, capacity, production, supply, demand market growth rate forecast etc. In end, report introduced new project SWOT analysis, investment feasibility analysis, investment return analysis. The report includes parts, dealing with: 1. Basic Information; 2. Asia Wearable AI Market; 3. North American Wearable AI Market; 4. European Wearable AI Market; 5. Market Entry Investment Feasibility;6. Report Conclusion. You Buy This Report Here @ Essential Findings Wearable AI Market Report: Ongoing pipeline RD projects Wearable AI market sphere Marketing promotional strategies adopted tier1 companies Wearable AI market Current future prospects Wearable AI market regional markets YoY growth different segments subsegments Wearable AI market The domestic international presence leading market players Wearable AI market Author Recent Posts [emailprotected] Latest posts [emailprotected] General LightingMarket Revolutionary Trends 2025 April 11, 2020 Flavour Enhancers Market : Analysis Indepth study market Size Trends, Emerging Growth Factors Forecasts 2017 2026 April 11, 2020 HardwareintheLoop SimulationMarket Projected Experience Major Revenue Boost During Period Between 20192026 April 11, 2020 Tags: China Wearable AI Market Trend, Europe Wearable AI Market Growth, UK Wearable AI Market, US Wearable AI, Wearable AI, Wearable AI Industry, Wearable AI Market, Wearable AI Market Intelligence Post navigation Ball Mill Mining Market : InDepth Market Research Report 20192025 Bovine Newborn Calf Serum Market Industry Trends, Opportunities Forecasts Global Industry Analysis, Size, Share, Growth, Trends, Forecast 2024 About contact About Disclaimer Our Writers Recent Posts General Lighting Market Revolutionary Trends 2025 Flavour Enhancers Market : Analysis Indepth study market Size Trends, Emerging Growth Factors Forecasts 2017 2026 HardwareintheLoop Simulation Market Projected Experience Major Revenue Boost During Period Between 20192026 Demand Medical Image Analysis Software Market Continues Grow, Finds Study Tungsten Carbide Band Saw Blade Size, Analysis, Forecast Report 20192020 States Intraoperative Computed Tomography CT Market Analysis Of Upstream Raw Materials, Downstream Demand, And States Intraoperative Computed Tomography CT Market Dynamics With Growth Opportunities By 2027 Bovine Newborn Calf Serum Market Industry Trends, Opportunities Forecasts Global Industry Analysis, Size, Share, Growth, Trends, Forecast 2024 Wearable AI Market Growth, Size, Share Forecast 20202026 Ball Mill Mining Market : InDepth Market Research Report 20192025 IoT Transport Logistics Sector Market Regional Outlook 2020 Manufacturers, Countries, Type, Drivers 2026 ClOSE SIDEBAR OPEN SIDEBAR Daily Science 2019 Sendy review 2020 | 2,020 | [
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] | 1 | NEGATIVE | 299 |
Subsets and Splits