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https://venturebeat.com/2020/06/30/ibm-uses-ai-to-enhance-old-wimbledon-tennis-footage-for-the-digital-era/ | 2020-06-30T00:00:00 | en | IBM uses AI to enhance old Wimbledon tennis footage for the digital era | VentureBeat |
IBM uses AI to enhance old Wimbledon tennis footage for the digital era | VentureBeat
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IBM uses AI to enhance old Wimbledon tennis footage for the digital era
Paul Sawers@psawers June 30, 2020 5:44 AM
TV monitors inside the broadcast center at Wimbledon on July 3, 2009. Image Credit: Paul Gilham/Getty Images
Along with just about every other major sporting event, the Wimbledon grand slam tennis tournament was canceled this year due to the COVID-19 crisis. However, organizers at the All England Lawn Tennis & Croquet Club (AELTC) have tapped long-time partner IBM to create a virtual two-week event consisting of classic matches dating back more than 40 years.
To go beyond just bringing old matches to modern digital platforms, IBM and AELTC have leveraged AI techniques to revitalize old footage and appeal to modern viewers. With matches stretching as far back as 1977, a wide range of video quality is to be expected, and older recordings tend to have an issue with visual “noise.”
“To the naked eye, this noise is like static in the image, with color pixels dancing,” IBM executive Sam Seddon told VentureBeat. “Along with the movement within the image, this is seen as ‘blurring’ and lack of color sharpness. For modern audiences, this historic content may be less appealing because it is a lower quality than what they have become used to.”
Remastering old footage is hardly a new concept, of course. But while IBM initially applied more traditional video enhancement techniques to the footage, it has also turned to AI techniques like Super Resolution and Deblurring to bring greater clarity to some of the older matches. This effort involved creating custom AI models built on IBM Cloud, using over 10,000 images from more recent Wimbledon tournaments. To train the system, IBM created an alternative version of each image, one that looked old and fuzzy.
VB Transform 2020 Online - July 15-17. Join leading AI executives: Register for the free livestream.“In this way, the system learned the differences been new and ‘old’ and subsequently how to reverse the process to partially modernize old color imagery,” Seddon continued. “In many ways, Wimbledon is timeless, and modern imagery was the perfect input to inform the AI model what Wimbledon content ‘should’ look like.”
This before (left) and after (right) clip highlights the level of improvement:
Wimbledon was already using various AI-powered smarts and has been ramping up its use of IBM’s Watson in recent years. For example, Watson helps broadcasters capture the best parts from each match and automatically package them into a highlights reel within minutes of the match ending. To do this, it listens to things like crowd cheers to identify big points and ball-strike noises that could signal long rallies, as well as observing the players’ gestures and reactions. This saves human curators from having to manually sift through matches to pull out the best moments.
IBM said it is applying similar AI sound analysis to this year’s “event” to automatically find the most exciting moments in historical matches. “Fans will now have a new way to navigate the greatest moments at Wimbledon,” Seddon added.
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| IBM uses AI to enhance old Wimbledon tennis footage for the digital era | IBM uses AI enhance old Wimbledon tennis footage digital era 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 Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI Surveillance Deals 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 Log Out AI IBM uses AI enhance old Wimbledon tennis footage digital era Paul Sawers June 30, 2020 5:44 AM TV monitors inside broadcast center Wimbledon July 3, 2009. Image Credit: Paul GilhamGetty Images Along major sporting event, Wimbledon grand slam tennis tournament canceled year COVID19 crisis. However, organizers All England Lawn Tennis Croquet Club AELTC tapped longtime partner IBM create virtual twoweek event consisting classic matches dating 40 years. To bringing old matches modern digital platforms, IBM AELTC leveraged AI techniques revitalize old footage appeal modern viewers. With matches stretching far 1977, wide range video quality expected, older recordings tend issue visual noise. To naked eye, noise like static image, color pixels dancing, IBM executive Sam Seddon told VentureBeat. Along movement image, seen blurring lack color sharpness. For modern audiences, historic content appealing lower quality to. Remastering old footage hardly new concept, course. But IBM initially applied traditional video enhancement techniques footage, turned AI techniques like Super Resolution Deblurring bring greater clarity older matches. This effort involved creating custom AI models built IBM Cloud, 10,000 images recent Wimbledon tournaments. To train system, IBM created alternative version image, looked old fuzzy. VB Transform 2020 Online July 1517. Join leading AI executives: free livestream.In way, learned differences new old subsequently reverse process partially modernize old color imagery, Seddon continued. In ways, Wimbledon timeless, modern imagery perfect input inform AI model Wimbledon content look like. This left right clip highlights level improvement: Wimbledon AIpowered smarts ramping use IBMs Watson recent years. For example, Watson helps broadcasters capture best parts match automatically package highlights reel minutes match ending. To this, listens things like crowd cheers identify big points ballstrike noises signal long rallies, observing players gestures reactions. This saves human curators manually sift matches pull best moments. IBM said applying similar AI sound analysis years event automatically exciting moments historical matches. Fans new way navigate greatest moments Wimbledon, Seddon added. Boost productivity 9 hot deals entrepreneurs You score lifetime cloud backup 50 right This Microsoft Excel training bundle 34 right Store 5TB data cloud life 80 These thinking skills courses mind major boost Learn double reading speed improve memory training This 50 bundle help master stock market day trading 9 deals data browsing safe This smart oven making cooking home easier View deals store VB Transform The AI event business leaders Hosted Online July 15 17 Learn More UPCOMING EVENTS VB Transform July 1517 The AI event year enterprise executives, brought todays leading AI publisher. VentureBeat Home Follow Facebook Follow Twitter Follow Instagram Follow LinkedIn Follow Flipboard Follow RSS About Careers Advertise 2020 VentureBeat. . | 2,020 | [
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https://www.techradar.com/uk/news/alibaba-cloud-offers-ai-platform-to-support-coronavirus-medical-research | 2020-03-19T00:00:00 | en | Alibaba Cloud offers AI platform to support coronavirus medical research | TechRadar |
Alibaba Cloud offers AI platform to support coronavirus medical research | TechRadar
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Alibaba Cloud offers AI platform to support coronavirus medical research
By
Anthony Spadafora
19 March 2020
Medical professionals can use Alibaba's AI-powered tools and data to combat the coronavirus
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(Image credit: Shutterstock)
Alibaba Cloud is now offering its AI-powered technologies to medical professionals in an effort to help provide data insights on the coronavirus while also speeding up diagnosis.The cloud computing arm of the Chinese tech giant hopes that it can support medical professionals worldwide in fighting the virus by providing them with a suite of applications developed by its cloud experts, researchers from its subsidiary DAMO Academy and engineers from its communications platform DingTalk. According to Alibaba, the AI-powered applications were developed using insights and lessons learned during the initial outbreak of the coronavirus.While DingTalk was used by over 120m Chinese students to attend live-streamed online classes, its team also launched DingTalk's International Medical Expert Communication Platform on Alibaba Cloud which provides free communication for medical workers all over the world.Alibaba unveils its own cloud AI chipBeware these new coronavirus email scamsAlibaba Cloud brings its cloud expertise to the WestThrough video conferencing and real-time AI translation into 11 languages, Alibaba Cloud is also trying to build a virtual community where doctors from China can share their experiences and answer questions from their peers around the world.DAMO Academy applicationsAlibaba's research arm DAMO Academy also revealed that it would make three applications available as a free trial to medical professionals and researchers.The firm's CT Image Analytics Solution can help improve testing accuracy as well as detection speed when diagnosing Covid-19. By running deep-learning algorithms trained on data from China, the AI model has the ability to predict the probability of different pneumonia types. The system is also able to compute the proportion of lesions and affected volume ratio to the entire lungs by using lung segmentation methods.DAMO Academy's Epidemic Prediction Solution is able to map epidemic characteristics of the coronavirus in a particular region by generating estimates of size, peak time and duration of the epidemic. It can also estimate how quickly the coronavirus will spread under three conditions: optimistic, neutral and pessimistic.The firm's Genome Sequencing for Coronavirus Diagnostic Solution provides further analytics on the coronavirus including viral genetic data screening, protein structure analysis and diagnostic reporting. The AI-powered platform is said to be able to diagnose new coronavirus cases within 14 hours.Having dealt with the cornavirus at the beginning of the outbreak, it's great to see that Alibaba is doing its part to share its experience and knowledge with medical professionals around the world.We've also highlighted the best workstationsVia ZDNet
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| Alibaba Cloud offers AI platform to support coronavirus medical research | Alibaba Cloud offers AI platform support coronavirus medical research TechRadar Skip main content TechRadar pro IT insights business RSS News Reviews Insights Web hosting VPN Security More TechRadar 5G Radar Best VPN Best Web Hosting Best Cloud Storage Best Printer Mac Pro 2020 Mobile Industry TechRadar supported audience. When purchase links site, earn affiliate commission. Learn Home News Alibaba Cloud offers AI platform support coronavirus medical research By Anthony Spadafora 19 March 2020 Medical professionals use Alibabas AIpowered tools data combat coronavirus Shares Image credit: Shutterstock Alibaba Cloud offering AIpowered technologies medical professionals effort help provide data insights coronavirus speeding diagnosis.The cloud computing arm Chinese tech giant hopes support medical professionals worldwide fighting virus providing suite applications developed cloud experts, researchers subsidiary DAMO Academy engineers communications platform DingTalk. According Alibaba, AIpowered applications developed insights lessons learned initial outbreak coronavirus.While DingTalk 120m Chinese students attend livestreamed online classes, team launched DingTalks International Medical Expert Communication Platform Alibaba Cloud provides free communication medical workers world.Alibaba unveils cloud AI chipBeware new coronavirus email scamsAlibaba Cloud brings cloud expertise WestThrough video conferencing realtime AI translation 11 languages, Alibaba Cloud trying build virtual community doctors China share experiences answer questions peers world.DAMO Academy applicationsAlibabas research arm DAMO Academy revealed applications available free trial medical professionals researchers.The firms CT Image Analytics Solution help improve testing accuracy detection speed diagnosing Covid19. By running deeplearning algorithms trained data China, AI model ability predict probability different pneumonia types. The able compute proportion lesions affected volume ratio entire lungs lung segmentation methods.DAMO Academys Epidemic Prediction Solution able map epidemic characteristics coronavirus particular region generating estimates size, peak time duration epidemic. It estimate quickly coronavirus spread conditions: optimistic, neutral pessimistic.The firms Genome Sequencing Coronavirus Diagnostic Solution provides analytics coronavirus including viral genetic data screening, protein structure analysis diagnostic reporting. The AIpowered platform said able diagnose new coronavirus cases 14 hours.Having dealt cornavirus beginning outbreak, great Alibaba share experience knowledge medical professionals world.Weve highlighted best workstationsVia ZDNet 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 refesh try No spam, promise. You unsubscribe time share details permission. Most Popular Most Shared 1Internet access hangs thread hundreds millions 2Windows 10 biggest change 3Windows 10 falling apart great time fall love Chromebook 4Real Madrid vs Barcelona live stream: watch El Clasico 2020 online 5Facebook dark mode: coming, check early 1Sonys PS5 controller brilliant smartphonelike feature 2Is Intel killing worlds best gaming processor? 3Windows 10 new Start menu Microsoft kills useless features 4Reti 5G e salute, la paura ferma lo sviluppo Svizzera 5Samsung Galaxy S20 sales slow start why? TechRadar Future plc, international media group leading digital publisher. Visit corporate site. Terms conditions Privacy policy policy Advertise Web notifications Future Publishing Limited Quay House, The Ambury, Bath BA1 1UA. . England Wales company registration number 2008885. | 2,020 | [
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https://www.devdiscourse.com/article/science-environment/836943-brain-magnetic-resonance-imaging-enhanced-through-artificial-intelligence-study | 2020-01-19T00:00:00 | en | Brain magnetic resonance imaging enhanced through artificial intelligence: Study |
Brain magnetic resonance imaging enhanced through artificial intelligence: Study
Select EditionPacificSouth AsiaEast and South East AsiaEurope and Central AsiaCentral AfricaEast AfricaSouthern Africa West AfricaMiddle East and North AfricaNorth America Latin America and Caribbean HOME NEWS RESEARCH LIVE DISCOURSE BLOG / OPINION SUBMIT PRESS RELEASE About Career Advertisement Team Partnership Knowledge Partnership Media Partnership Contact Us NEWS RESEARCH LIVE DISCOURSE BLOG / OPINION SUBMIT PRESS RELEASE Agro-Forestry Art & Culture Technology Economy Education Energy Politics Law & Governance Health Science Social Sports Transport Urban Development WASH
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Brain magnetic resonance imaging enhanced through artificial intelligence: Study
Researchers have designed an unprecedented method that is capable of improving brain images obtained through magnetic resonance imaging using artificial intelligence.
ANI |
Washington DC |
Updated: 19-01-2020 09:02 IST
|
Created: 19-01-2020 09:02 IST
Representative image . Image Credit: ANI
Researchers have designed an unprecedented method that is capable of improving brain images obtained through magnetic resonance imaging using artificial intelligence. This new model manages to increase image quality from low resolution to high resolution without distorting the patients' brain structures, using a deep learning artificial neural network -a model that is based on the functioning of the human brain- that "learns" this process. The study was published in the scientific journal Neurocomputing.
"Deep learning is based on very large neural networks, and so is its capacity to learn, reaching the complexity and abstraction of a brain", explains researcher Karl Thurnhofer, main author of this study, who adds that thanks to this technique, the activity of identification can be performed alone, without supervision; an identification effort that the human eye would not be capable of doing. This study represents a scientific breakthrough, since the algorithm developed by the UMA yields more accurate results in less time, with clear benefits for patients. "So far, the acquisition of quality brain images has depended on the time the patient remained immobilised in the scanner; with our method, image processing is carried out later on the computer", explains Thurnhofer.
According to the experts, the results will enable specialists to identify brain-related pathologies, like physical injuries, cancer or language disorders, among others, with increased accuracy and definition, because image details are thinner, thus avoiding the performance of additional tests when diagnoses are uncertain. Nowadays, the ICAI Group of the UMA, led by Professor Ezequiel Lopez, co-author of this study, is a benchmark for neurocomputing, computational learning, and artificial intelligence. The Professors of the Department of Computer Science and Programming Languages Enrique Dominguez and Rafael Luque, as well as researcher Nuria Roe-Vellve, have also participated in this study. (ANI)
(This story has not been edited by Devdiscourse staff and is auto-generated from a syndicated feed.) Download The Devdiscourse News App for Latest News.
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| Brain magnetic resonance imaging enhanced through artificial intelligence: Study | Brain magnetic resonance imaging enhanced artificial intelligence: Study Select EditionPacificSouth AsiaEast South East AsiaEurope Central AsiaCentral AfricaEast AfricaSouthern Africa West AfricaMiddle East North AfricaNorth America Latin America Caribbean HOME NEWS RESEARCH LIVE DISCOURSE BLOG OPINION SUBMIT PRESS RELEASE About Career Advertisement Team Partnership Knowledge Partnership Media Partnership Us NEWS RESEARCH LIVE DISCOURSE BLOG OPINION SUBMIT PRESS RELEASE AgroForestry Art Culture Technology Economy Education Energy Politics Law Governance Health Science Social Sports Transport Urban Development WASH Home News Science Environment Article Brain magnetic resonance imaging enhanced artificial intelligence: Study Researchers designed unprecedented method capable improving brain images obtained magnetic resonance imaging artificial intelligence. ANI Washington DC Updated: 19012020 09:02 IST Created: 19012020 09:02 IST Representative image . Image Credit: ANI Researchers designed unprecedented method capable improving brain images obtained magnetic resonance imaging artificial intelligence. This new model manages increase image quality low resolution high resolution distorting patients brain structures, deep learning artificial neural network model based functioning human brain learns process. The study published scientific journal Neurocomputing. Deep learning based large neural networks, capacity learn, reaching complexity abstraction brain, explains researcher Karl Thurnhofer, main author study, adds thanks technique, activity identification performed alone, supervision; identification effort human eye capable doing. This study represents scientific breakthrough, algorithm developed UMA yields accurate results time, clear benefits patients. So far, acquisition quality brain images depended time patient remained immobilised scanner; method, image processing carried later computer, explains Thurnhofer. According experts, results enable specialists identify brainrelated pathologies, like physical injuries, cancer language disorders, others, increased accuracy definition, image details thinner, avoiding performance additional tests diagnoses uncertain. Nowadays, ICAI Group UMA, led Professor Ezequiel Lopez, coauthor study, benchmark neurocomputing, computational learning, artificial intelligence. The Professors Department Computer Science Programming Languages Enrique Dominguez Rafael Luque, researcher Nuria RoeVellve, participated study. ANI This story edited Devdiscourse staff autogenerated syndicated feed. Download The Devdiscourse News App Latest News. 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VideosLive TV Digital StudiosCNN FilmsHLNTV ScheduleTV Shows A-ZCNNVREditionU.S.InternationalArabicEspañolLive TV Digital StudiosCNN FilmsHLNTV ScheduleTV Shows A-ZCNNVRSearchEditionU.S.InternationalArabicEspañolUSCrime + JusticeEnergy + EnvironmentExtreme WeatherSpace + ScienceWorldAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited Kingdom<a mode="da | Former Real Madrid star uses AI company to fight Covid-19 in Spain | Former Real Madrid star uses AI company fight Covid19 Spain CNN Video VideosLive TV Digital StudiosCNN FilmsHLNTV ScheduleTV Shows AZCNNVREditionU.S.InternationalArabicEspaolLive TV Digital StudiosCNN FilmsHLNTV ScheduleTV Shows AZCNNVREditionU.S.InternationalArabicEspaolUSCrime JusticeEnergy EnvironmentExtreme WeatherSpace ScienceWorldAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited Kingdom<a mode=da | 2,020 | [
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Second Spectrum Selects AWS as its Preferred Cloud, Machine Learning, Artificial Intelligence, and Media Services Provider
By
BN Staff
9 hours ago
The leader in real-time analytics and indexed video for international sports leagues relies on AWS to power predictive stats, enhanced visualizations, and high-quality viewing experiences
SEATTLE–(BUSINESS WIRE)–Today, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced that Second Spectrum, the Official Optical Tracking and Analytics Provider of sports leagues such as the National Basketball Association (NBA) and the English Premier League, has chosen AWS as its preferred cloud, machine learning (ML), and artificial intelligence (AI) provider. Second Spectrum has also selected AWS media services to help deliver new kinds of live game-watching experiences to fans. Second Spectrum uses AWS’s industry-leading services to help sports leagues and their media partners deliver analytics, visualizations, and easily searchable video clips during games and matches to enhance the fan experience and provide teams with deeper competitive insights. For example, Second Spectrum leverages AWS to produce and deliver Clippers CourtVision, an augmented reality, livestreaming product for the Los Angeles (L.A.) Clippers that displays player tracking information, real-time stats, and explanatory animations for fans watching from desktops and mobile devices.
Second Spectrum’s content-generation service runs on AWS. The process begins when Second Spectrum applies ML and computer vision techniques to its proprietary optical tracking system, which collects 3D spatial data from cameras at live sporting events, and then indexes the video in real time with metadata such as the identity and location of players, and the type of play in progress. Second Spectrum technology then references that real-time information against historical team and player data housed on AWS to rapidly generate stats, analytics, and its proprietary metrics like Quantified Shot Quality (expected effective field goal percentage) and Quantified Shooter Impact (impact of the player compared to league average), and uses AWS’s highly scalable and performant infrastructure to construct 3D visualizations and augmented video to support live broadcasts. By expanding its relationship with AWS, Second Spectrum will begin working with Amazon SageMaker to explore ways of enhancing and tuning its ML models on years of video data captured in dozens of sports venues, enabling it to generate new predictive stats during live games.
Second Spectrum minimizes latency in its streaming services and offers fans a high-quality viewing experience by using AWS Elemental Live, a service for encoding live video and compressing it for viewing on multiple devices, and AWS Elemental MediaStore, a storage service optimized for media, to allow television producers and sports commentators to quickly access key moments from sports events. In addition, Second Spectrum plans to begin working with AWS Outposts – which extend AWS infrastructure and services to virtually any data center, co-location space, or on-premises facility – in select sports arenas to understand how to further reduce latency in ML inferences, graphical processing, and live broadcast video delivery.
“Second Spectrum has created never-before-seen products and experiences for coaches, analysts, players, producers, storytellers, and fans everywhere. In addition, successful teams rely on our machine intelligence to find and share video, discover key insights, and make more informed decisions faster,” said Rajiv Maheswaran, CEO of Second Spectrum. “Using AWS’s breadth and depth of services, Second Spectrum will elevate its analytics and video processing capabilities to provide deeper insights into on-field and on-court action. We look forward to leveraging AWS to continue to innovate new and compelling content and give our customers and fans new and better ways to experience sports.”
“AWS and Second Spectrum have a history of working together to deliver stats and visualizations that make the world’s most competitive sports even more engaging for fans, insightful for coaches and players, and profitable for media partners,” Mike Clayville, Vice President, Worldwide Commercial Sales at AWS. “In expanding the relationship between AWS and Second Spectrum – bringing together a top provider of sports analytics with AWS’s unmatched portfolio of services – we are adding new layers of depth to the spectator experience and helping teams uncover new ways to understand, evaluate, and elevate their performance.”
About Amazon Web Services
For almost 14 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 175 fully featured services for compute, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 69 Availability Zones (AZs) within 22 geographic regions, with announced plans for 16 more Availability Zones and five more AWS Regions in Indonesia, Italy, Japan, South Africa, and Spain. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.
About Second Spectrum
Second Spectrum is the world leader in building machines that understand sports. As the Official Optical Tracking and Analytics Provider of the NBA and English Premier League, and partner of professional and college teams around the world, Second Spectrum creates tools that help teams save time and discover new insights by making data and video easily accessible and actionable. Second Spectrum’s media products help content owners and distributors automatically create augmented video and interactive, personalized, OTT experiences. Founded in 2013, the company works with clients around the globe from its five offices in Los Angeles, New York, Lausanne, Manchester, and Shanghai. For more information, visit http://www.secondspectrum.com.
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| Second Spectrum Selects AWS as its Preferred Cloud, Machine Learning, Artificial Intelligence, and Media Services Provider | Second Spectrum Selects AWS Preferred Cloud, Machine Learning, Artificial Intelligence, Media Services Provider Broadcast Newsroom Skip content Broadcast Newsroom News Information Broadcast Professionals Primary Menu for: Home2020February14Second Spectrum Selects AWS Preferred Cloud, Machine Learning, Artificial Intelligence, Media Services Provider News Second Spectrum Selects AWS Preferred Cloud, Machine Learning, Artificial Intelligence, Media Services Provider By BN Staff 9 hours ago The leader realtime analytics indexed video international sports leagues relies AWS power predictive stats, enhanced visualizations, highquality viewing experiences SEATTLEBUSINESS WIREToday, Amazon Web Services, . AWS, company NASDAQ: AMZN, announced Second Spectrum, Official Optical Tracking Analytics Provider sports leagues National Basketball Association NBA English Premier League, chosen AWS preferred cloud, machine learning ML, artificial intelligence AI provider. Second Spectrum selected AWS media services help deliver new kinds live gamewatching experiences fans. Second Spectrum uses AWSs industryleading services help sports leagues media partners deliver analytics, visualizations, easily searchable video clips games matches enhance fan experience provide teams deeper competitive insights. For example, Second Spectrum leverages AWS produce deliver Clippers CourtVision, augmented reality, livestreaming product Los Angeles L.A. Clippers displays player tracking information, realtime stats, explanatory animations fans watching desktops mobile devices. Second Spectrums contentgeneration service runs AWS. The process begins Second Spectrum applies ML vision techniques proprietary optical tracking system, collects 3D spatial data cameras live sporting events, indexes video real time metadata identity location players, type play progress. Second Spectrum technology references realtime information historical team player data housed AWS rapidly generate stats, analytics, proprietary metrics like Quantified Shot Quality expected effective field goal percentage Quantified Shooter Impact impact player compared league average, uses AWSs highly scalable performant infrastructure construct 3D visualizations augmented video support live broadcasts. By expanding relationship AWS, Second Spectrum begin working Amazon SageMaker explore ways enhancing tuning ML models years video data captured dozens sports venues, enabling generate new predictive stats live games. Second Spectrum minimizes latency streaming services offers fans highquality viewing experience AWS Elemental Live, service encoding live video compressing viewing multiple devices, AWS Elemental MediaStore, storage service optimized media, allow television producers sports commentators quickly access key moments sports events. In addition, Second Spectrum plans begin working AWS Outposts extend AWS infrastructure services virtually data center, colocation space, onpremises facility select sports arenas understand reduce latency ML inferences, graphical processing, live broadcast video delivery. Second Spectrum created neverbeforeseen products experiences coaches, analysts, players, producers, storytellers, fans everywhere. In addition, successful teams rely machine intelligence share video, discover key insights, informed decisions faster, said Rajiv Maheswaran, CEO Second Spectrum. Using AWSs breadth depth services, Second Spectrum elevate analytics video processing capabilities provide deeper insights onfield oncourt action. We look forward leveraging AWS continue innovate new compelling content customers fans new better ways experience sports. AWS Second Spectrum history working deliver stats visualizations worlds competitive sports engaging fans, insightful coaches players, profitable media partners, Mike Clayville, Vice President, Worldwide Commercial Sales AWS. In expanding relationship AWS Second Spectrum bringing provider sports analytics AWSs unmatched portfolio services adding new layers depth spectator experience helping teams uncover new ways understand, evaluate, elevate performance. About Amazon Web Services For 14 years, Amazon Web Services worlds comprehensive broadly adopted cloud platform. AWS offers 175 fully featured services compute, storage, databases, networking, analytics, robotics, machine learning artificial intelligence AI, Internet Things IoT, mobile, security, hybrid, virtual augmented reality VR AR, media, application development, deployment, management 69 Availability Zones AZs 22 geographic regions, announced plans 16 Availability Zones AWS Regions Indonesia, Italy, Japan, South Africa, Spain. Millions customersincluding fastestgrowing startups, largest enterprises, leading government agenciestrust AWS power infrastructure, agile, lower costs. To learn AWS, visit aws.. About Amazon Amazon guided principles: customer obsession competitor focus, passion invention, commitment operational excellence, longterm thinking. Customer reviews, 1Click shopping, personalized recommendations, Prime, Fulfillment Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, Alexa products services pioneered Amazon. For information, visit follow About Second Spectrum Second Spectrum world leader building machines understand sports. As Official Optical Tracking Analytics Provider NBA English Premier League, partner professional college teams world, Second Spectrum creates tools help teams save time discover new insights making data video easily accessible actionable. Second Spectrums media products help content owners distributors automatically create augmented video interactive, personalized, OTT experiences. Founded 2013, company works clients globe offices Los Angeles, New York, Lausanne, Manchester, Shanghai. For information, visit , . Media Hotline Amazonpr Continue Reading Previous Mastermind Reports First Quarter Fiscal 2020 Results, Continues Project Strong Growth Full Fiscal Year for: Video NewsCategoriesCategories Select Category 3D Printing 4K 60fps 8K Automation Avid Broadcast CES Asia Community Compositing Content Content Creation Dailies DIT Education Electronics Feature Finishing Grading IBC Image Processing IP Video IQS Lighting Manufacturing Metadata Monitor Music Music Video NAB News People Post Production ProRes Review Robotics Storage Streaming Technology Top Story Transcription Tutorial UHD Video Video Editing Video processor Videowall VR Workflow Recent Posts Second Spectrum Selects AWS Preferred Cloud, Machine Learning, Artificial Intelligence, Media Services Provider Mastermind Reports First Quarter Fiscal 2020 Results, Continues Project Strong Growth Full Fiscal Year 2020 Global SVOD Platform Forecasts Profiles Netflix, Amazon Prime Video, Disney Apple TV Among Others Triton Digital Releases Webcast Metrics Rankings Top Digital Audio Properties December 2019 Roku Releases Fourth Quarter Fiscal Year 2019 Financial Results Archives February 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 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 . 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https://3wnews.org/industry/309054/artificial-intelligence-in-medicine-market-2020-potential-growth-challenges-attractive-valuation-key-players-laird-maxim-integrated-te-technology-ams-technology-ferrotec-etc/ | 2020-03-19T00:00:00 | en | Artificial Intelligence in Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc. – 3rd Watch News |
Artificial Intelligence in Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc. – 3rd Watch News
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HomeIndustryArtificial Intelligence in Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc.
Artificial Intelligence in Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc.
Posted On: March 19, 2020
Posted By: basavraj
Comments: 0
Artificial Intelligence in Medicine Market report provides an in-depth analysis of the overall market over a period from 2020-2025. The report focuses on major key players, production details, their application, and countries and also analyzes the global and key regions market potential and advantage, opportunity, and challenge, restraints, and risks.
Get Exclusive Sample of Report on Artificial Intelligence in Medicine market is available at https://inforgrowth.com/sample-request/5558598/artificial-intelligence-in-medicine-market
The Artificial Intelligence in Medicine market report covers major market players like IBM, Atomwise, Zebra Medical Vision, Cyrcadia Health, AiCure, Modernizing Medicine, Berg Health, Esko Bionics, Medasense Biometrics, Hindsait
Performance Analysis of Artificial Intelligence in Medicine Industry 2020 Highlighting Recent Market Growth, Trends and Development 2025 Forecast Report
Global Artificial Intelligence in Medicine Market Research Report 2020 is a comprehensive business study on the current state of the industry which analyses innovative strategies for business growth and describes important factors such as top manufacturers, production value, key regions, and growth rate.
Artificial Intelligence in Medicine Market 2020-2025: Segmentation
Artificial Intelligence in Medicine Market is segmented as below:
Breakup Product Type:On-premise, Cloud-based
Breakup by Application:Patient Care, Research and Drug Invention, Disease Diagnosis and Identification, Others
Geographic segmentation
Asia-Pacific
Europe South America
North America
Middle East & Africa
South America
To know about the global trends impacting the future of market research, contact at: https://inforgrowth.com/enquiry/5558598/artificial-intelligence-in-medicine-market
Artificial Intelligence in Medicine Market 2020-2025: Scope
We present a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources.
Our Artificial Intelligence in Medicine market report covers the following areas:
Artificial Intelligence in Medicine Market size
Artificial Intelligence in Medicine Market trends
Artificial Intelligence in Medicine Market industry analysis
Industrial Analysis of Artificial Intelligence in Medicine Market:
Table of Contents:
1 Artificial Intelligence in Medicine Market Introduction and Market Overview 2 Industry Chain Analysis 3 Global Artificial Intelligence in Medicine Market, by Type 4 Artificial Intelligence in Medicine Market, by Application 5 Global Artificial Intelligence in Medicine Production, Value ($) by Region (2014-2019) 6 Global Artificial Intelligence in Medicine Production, Consumption, Export, Import by Regions (2014-2019) 7 Global Artificial Intelligence in Medicine Market Status and SWOT Analysis by Regions 8 Competitive Landscape 9 Global Artificial Intelligence in Medicine Market Analysis and Forecast by Type and Application 10 Artificial Intelligence in Medicine Market Analysis and Forecast by Region 11 New Project Feasibility Analysis 12 Research Finding and Conclusion 13 Appendix
Get Special Discount UP TO 50% for this Report: https://inforgrowth.com/discount/5558598/artificial-intelligence-in-medicine-market
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| Artificial Intelligence in Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation | Artificial Intelligence Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc. 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 HomeIndustryArtificial Intelligence Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc. Artificial Intelligence Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc. Posted On: March 19, 2020 Posted By: basavraj Comments: 0 Artificial Intelligence Medicine Market report provides indepth analysis overall market period 20202025. The report focuses major key players, production details, application, countries analyzes global key regions market potential advantage, opportunity, challenge, restraints, risks. Get Exclusive Sample Report Artificial Intelligence Medicine market available The Artificial Intelligence Medicine market report covers major market players like IBM, Atomwise, Zebra Medical Vision, Cyrcadia Health, AiCure, Modernizing Medicine, Berg Health, Esko Bionics, Medasense Biometrics, Hindsait Performance Analysis Artificial Intelligence Medicine Industry 2020 Highlighting Recent Market Growth, Trends Development 2025 Forecast Report Global Artificial Intelligence Medicine Market Research Report 2020 comprehensive business study current state industry analyses innovative strategies business growth describes important factors manufacturers, production value, key regions, growth rate. Artificial Intelligence Medicine Market 20202025: Segmentation Artificial Intelligence Medicine Market segmented below: Breakup Product Type:Onpremise, Cloudbased Breakup Application:Patient Care, Research Drug Invention, Disease Diagnosis Identification, Others Geographic segmentation AsiaPacific Europe South America North America Middle East Africa South America To know global trends impacting future market research, contact at: Artificial Intelligence Medicine Market 20202025: Scope We present detailed picture market way study, synthesis, summation data multiple sources. OurArtificial Intelligence Medicine marketreport covers following areas: Artificial Intelligence Medicine Market size Artificial Intelligence Medicine Market trends Artificial Intelligence Medicine Market industry analysis Industrial Analysis Artificial Intelligence Medicine Market: Table Contents: 1 Artificial Intelligence Medicine Market Introduction Market Overview 2 Industry Chain Analysis 3 Global Artificial Intelligence Medicine Market, Type 4 Artificial Intelligence Medicine Market, Application 5 Global Artificial Intelligence Medicine Production, Value Region 20142019 6 Global Artificial Intelligence Medicine Production, Consumption, Export, Import Regions 20142019 7 Global Artificial Intelligence Medicine Market Status SWOT Analysis Regions 8 Competitive Landscape 9 Global Artificial Intelligence Medicine Market Analysis Forecast Type Application 10 Artificial Intelligence Medicine Market Analysis Forecast Region 11 New Project Feasibility Analysis 12 Research Finding Conclusion 13 Appendix Get Special Discount UP TO 50 Report: FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT: Address: 6400 Village Pkwy suite 104, Dublin, CA 94568, USA Name: Rohan S. 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https://www.necn.com/news/tech/smart-homes-get-smarter-ces-2020-brings-artificial-intelligence-to-everything/2214924/ | 2020-01-06T00:00:00 | en | Smart Homes Get Smarter: CES 2020 Brings Artificial Intelligence to Everything – NECN |
Smart Homes Get Smarter: CES 2020 Brings Artificial Intelligence to Everything – NECN
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Artificial Intelligence in Diabetes Management Market 2020 Abstract: The report introduces Artificial Intelligence in Diabetes Management basic information including definition, application, industry chain structure, industry overview, classification, policy analysis, and news analysis. Insightful predictions for the Artificial Intelligence in Diabetes Management Market for the coming few years have also been included in the report.
Here is a quick overview of the report:
• Market representation: main players, analysis, size, company situation, SWOT analysis 2020 to 2029.
• Regional scope: North America (United States, Mexico, Canada), Europe (Germany, United Kingdom, France, Italy, Spain, Russia, etc.),
Middle East and Africa (Saudi Arabia, South Africa, etc.), South America (Brazil, Argentina, etc.)
• Methodology: a mixture of primary and secondary research
• Report coverage: statistics, opportunities, challenges, drivers, constraints, limits, market size, share and trends.
• Forecast period: 2020-2029
• Request For The Sample Copy of Artificial Intelligence in Diabetes Management Market Report Which Provides – Key Market Trends | Growth | Share | Sale | Revenue | Manufactures | Technology Component- Click To Know For Details
••• NOTE: Our analysts screens the condition across the globe explains that the market will generate remunerative prospects for producers post COVID-19 crisis. The report objects to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.
Download the Sample Report to understand the CORONA Virus/COVID19 impact and be smart in redefining business strategies: https://marketresearch.biz/report/artificial-intelligence-in-diabetes-management-market/covid-19-impact
• Top Insights of Artificial Intelligence in Diabetes Management Market Report Covered by MarketResearch.Biz with Major Key Players | ” Apple Inc., Diabnext, Glooko Inc., Google LLC, IBM Corporation, Tidepool, Vodafone Group Plc. “
Artificial Intelligence in Diabetes Management market report provides a detailed analysis of global market size, segmentation market growth, regional and country-level market size, market share, competitive Landscape, sales analysis, the 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.
Artificial Intelligence in Diabetes Management market report gives an detailed analysis of worldwide market size, segmentation market development, regional and country level market size, market share, competitive Landscape, deals investigation, the effect of domestic and worldwide market players, value chain streamlining, exchange guidelines, late turns of events, openings investigation, key market development investigation, product launches, territory commercial center growing, and mechanical advancements.
• Geographical Analysis:
• North America: United States, Canada, and Mexico.
• South & Central America: Argentina, Chile, and Brazil.
• Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.
• Europe: UK, France, Italy, Germany, Spain, and Russia.
• Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.
This report presents an intensive outline of the market and its normal development way over the period somewhere in the range of 2020 and 2029. The compound yearly development rate (CAGR %) for all fragments of the market is accommodated this period. The report features the key patterns of at various times expected to assume a key job in the general improvement of the market over the forecast period. The report additionally diagrams the urgent variables driving and controlling the market. An itemized outline of rewarding development openings across key portions and local markets is additionally included.
The report likewise presents a qualitative and quantitative investigation of the advancement observed in the field of Artificial Intelligence in Diabetes Management technologies in the previous not many years. Through essential and optional research endeavors, detailed information relating to new revelations to have forayed into the worldwide market in the previous hardly any years have been remembered for the report. Information in regards to the serious and seller scene, administrative system across key provincial markets, and areas with high-development possibilities is likewise remembered for the report.
• Worldwide Artificial Intelligence in Diabetes Management Market: Trends and Opportunities
One of the key variables driving the worldwide Artificial Intelligence in Diabetes Management market is the expanded interest for new procedures and standards for viably taking care of enormous information related issues and the rising appropriation of Artificial Intelligence in Diabetes Management-based automatons and different items in safeguard and military applications. Various different businesses are additionally contributing expanded entireties on the appropriation of logical arrangements that can cut down operational expenses and make activities speedier and increasingly beneficial. As Artificial Intelligence in Diabetes Management-based calculations end up being viable in these zones and the mindfulness with respect to their advantages rises, the Artificial Intelligence in Diabetes Management is relied upon to profit hugely from a potential ascent in set of uses.
At long last, report gives subtleties of serious advancements, for example, developments, understandings, new item dispatches, and acquisitions in the market for guaging, territorial interest, and gracefully factor, investment, market elements including specialized situation, consumer conduct, and end-use industry patterns and elements, capacity, spending were contemplated.
• To Know More About How The Report Uncovers Exhaustive Insights | Enquire or Speak To An Expert Here: https://marketresearch.biz/report/artificial-intelligence-in-diabetes-management-market/#inquiry
• Important Key questions answered in Artificial Intelligence in Diabetes Management market report:
What will the market growth rate, Overview, and Analysis by Type of Artificial Intelligence in Diabetes Management in 2029?
What are the key factors affecting market dynamics? What are the drivers, challenges, and business risks in Artificial Intelligence in Diabetes Management market?
What is Dynamics, This Overview Includes Analysis of Scope and price analysis of top Manufacturers Profiles?
Who Are Opportunities, Risk, and Driving Force of Artificial Intelligence in Diabetes Management market? Knows Upstream Raw Materials Sourcing and Downstream Buyers.
Who are the key manufacturers in space? Business Overview by Type, Applications, Gross Margin, and Market Share
What are the opportunities and threats faced by manufacturers in the global market?
• Global Artificial Intelligence in Diabetes Management Industry Report Roofed Below Topics:
01: Artificial Intelligence in Diabetes Management Market Outlook
02: Global Artificial Intelligence in Diabetes Management Industry Sales, Revenue (USD$) and Market Share by Key Players
03: Artificial Intelligence in Diabetes Management Market Sales, Revenue (USD$) by Regions and Segmentation
04: Regionwise Artificial Intelligence in Diabetes Management Top Players Growth, Sales, Price and Revenue
05: Worldwide Artificial Intelligence in Diabetes Management industry Vendors Profiles Study
06: Artificial Intelligence in Diabetes Management Production Cost Study
07: Industrial Chain Analysis, Sourcing Strategy and Downstream Artificial Intelligence in Diabetes Management Buyers
08: Artificial Intelligence in Diabetes Management Marketing Strategy Study, Distributors/Suppliers
09: Artificial Intelligence in Diabetes Management Industry Growth Factors Study
10: Global Artificial Intelligence in Diabetes Management Market Foresight (2020-2029)
11: Artificial Intelligence in Diabetes Management Research Discoveries and Conclusion
12: Artificial Intelligence in Diabetes Management Appendix
TOC Continued
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| Latest News 2020: Artificial Intelligence in Diabetes Management Market by Coronavirus-COVID19 Impact Analysis With Top Manufacturers ( Apple Inc.,Diabnext ) Analysis | Latest News 2020: Artificial Intelligence Diabetes Management Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Apple .,Diabnext Analysis MarketResearch.Biz Flagler Times Flagler Times Chemicals Energy Healthcare I.T. Machinery Oil Gas SciTech Saturday, June 13 2020 Trending Smart Power Technology Market Business Growth Statistics Key Players Insights[PDF] Addressing Potential Impact CoronaVirus COVID19 World corona virus Dispatch: Automotive Transfer Cases Market: Soaring Demand Assures Motivated Revenue Share During 20202029 Food Packaging Market Business Growth Statistics Key Players Insights[PDF] Addressing Potential Impact CoronaVirus COVID19 Latest News 2020: Perforating Gun Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Schlumberger Limited,DYNAenergetics GmbH Co. KG Analysis MarketResearch.Biz Latest News 2020: Artificial Intelligence Diabetes Management Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Apple .,Diabnext Analysis MarketResearch.Biz Latest News 2020: Tartaric Acid Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Caviro Group,ATP Group Ltd. Analysis MarketResearch.Biz Latest News 2020: UV Curable Resins Formulated Products Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Arkema S.A.,BASF SE Analysis MarketResearch.Biz Fatty Alcohols Market Business Growth Statistics Key Players Insights[PDF] Addressing Potential Impact CoronaVirus COVID19 Global Thiamethoxam Market Focuses On Swot Analysis, Development Plans 2020 To 2029 COVID19 UPDATE Global Polyethylene Naphthalate Market 2020 Industry Share, World Growth, Top Players HomeUncategorizedLatest News 2020: Artificial Intelligence Diabetes Management Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Apple .,Diabnext Analysis MarketResearch.Biz Uncategorized Latest News 2020: Artificial Intelligence Diabetes Management Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Apple .,Diabnext Analysis MarketResearch.Biz stefen June 13, 2020 Artificial Intelligence Diabetes Management Market 2020 Abstract: The report introduces Artificial Intelligence Diabetes Management basic information including definition, application, industry chain structure, industry overview, classification, policy analysis, news analysis. Insightful predictions Artificial Intelligence Diabetes Management Market coming years included report. Here quick overview report: Market representation: main players, analysis, size, company situation, SWOT analysis 2020 2029. Regional scope: North America United States, Mexico, Canada, Europe Germany, United Kingdom, France, Italy, Spain, Russia, etc., Middle East Africa Saudi Arabia, South Africa, etc., South America Brazil, Argentina, etc. Methodology: mixture primary secondary research Report coverage: statistics, opportunities, challenges, drivers, constraints, limits, market size, share trends. Forecast period: 20202029 Request For The Sample Copy Artificial Intelligence Diabetes Management Market Report Which Provides Key Market Trends Growth Share Sale Revenue Manufactures Technology ComponentClick To Know For Details NOTE: Our analysts screens condition globe explains market generate remunerative prospects producers post COVID19 crisis. The report objects provide additional illustration latest scenario, economic slowdown, COVID19 impact overall industry. Download Sample Report understand CORONA VirusCOVID19 impact smart redefining business strategies: Top Insights Artificial Intelligence Diabetes Management Market Report Covered MarketResearch.Biz Major Key Players Apple ., Diabnext, Glooko ., Google LLC, IBM Corporation, Tidepool, Vodafone Group Plc. Artificial Intelligence Diabetes Management market report provides detailed analysis global market size, segmentation market growth, regional countrylevel market size, 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. Artificial Intelligence Diabetes Management market report gives detailed analysis worldwide market size, segmentation market development, regional country level market size, market share, competitive Landscape, deals investigation, effect domestic worldwide market players, value chain streamlining, exchange guidelines, late turns events, openings investigation, key market development investigation, product launches, territory commercial center growing, mechanical advancements. Geographical Analysis: North America: United States, Canada, Mexico. South Central America: Argentina, Chile, Brazil. Middle East Africa: Saudi Arabia, UAE, Turkey, Egypt South Africa. Europe: UK, France, Italy, Germany, Spain, Russia. AsiaPacific: India, China, Japan, South Korea, Indonesia, Singapore, Australia. This report presents intensive outline market normal development way period range 2020 2029. The compound yearly development rate CAGR fragments market accommodated period. The report features key patterns times expected assume key job general improvement market forecast period. The report additionally diagrams urgent variables driving controlling market. An itemized outline rewarding development openings key portions local markets additionally included. The report likewise presents qualitative quantitative investigation advancement observed field Artificial Intelligence Diabetes Management technologies previous years. Through essential optional research endeavors, detailed information relating new revelations forayed worldwide market previous hardly years remembered report. Information regards seller scene, administrative key provincial markets, areas highdevelopment possibilities likewise remembered report. Worldwide Artificial Intelligence Diabetes Management Market: Trends Opportunities One key variables driving worldwide Artificial Intelligence Diabetes Management market expanded new procedures standards viably taking care enormous information related issues rising appropriation Artificial Intelligence Diabetes Managementbased automatons different items safeguard military applications. Various different businesses additionally contributing expanded entireties appropriation logical arrangements cut operational expenses activities speedier increasingly beneficial. As Artificial Intelligence Diabetes Managementbased calculations end viable zones mindfulness respect advantages rises, Artificial Intelligence Diabetes Management relied profit hugely potential ascent set uses. At long last, report gives subtleties advancements, example, developments, understandings, new item dispatches, acquisitions market guaging, territorial interest, gracefully factor, investment, market elements including specialized situation, consumer conduct, enduse industry patterns elements, capacity, spending contemplated. To Know More About How The Report Uncovers Exhaustive Insights Enquire Speak To An Expert Here: Important Key questions answered Artificial Intelligence Diabetes Management market report: What market growth rate, Overview, Analysis Type Artificial Intelligence Diabetes Management 2029? What key factors affecting market dynamics? What drivers, challenges, business risks Artificial Intelligence Diabetes Management market? What Dynamics, This Overview ludes Analysis Scope price analysis Manufacturers Profiles? Who Are Opportunities, Risk, Driving Force Artificial Intelligence Diabetes Management market? Knows Upstream Raw Materials Sourcing Downstream Buyers. Who key manufacturers space? Business Overview Type, Applications, Gross Margin, Market Share What opportunities threats faced manufacturers global market? Global Artificial Intelligence Diabetes Management Industry Report Roofed Below Topics: 01: Artificial Intelligence Diabetes Management Market Outlook 02: Global Artificial Intelligence Diabetes Management Industry Sales, Revenue USD Market Share Key Players 03: Artificial Intelligence Diabetes Management Market Sales, Revenue USD Regions Segmentation 04: Regionwise Artificial Intelligence Diabetes Management Top Players Growth, Sales, Price Revenue 05: Worldwide Artificial Intelligence Diabetes Management industry Vendors Profiles Study 06: Artificial Intelligence Diabetes Management Production Cost Study 07: Industrial Chain Analysis, Sourcing Strategy Downstream Artificial Intelligence Diabetes Management Buyers 08: Artificial Intelligence Diabetes Management Marketing Strategy Study, DistributorsSuppliers 09: Artificial Intelligence Diabetes Management Industry Growth Factors Study 10: Global Artificial Intelligence Diabetes Management Market Foresight 20202029 11: Artificial Intelligence Diabetes Management Research Discoveries Conclusion 12: Artificial Intelligence Diabetes Management Appendix TOC Continued We provide best class customer service customer support team available help research queries. Thanks reading article. Us: Mr. Benni Johnson inquiry MarketResearch.Biz Powered By Prudour Pvt. Ltd. 420 Lexington Avenue, Suite 300 New York City, NY 10170, United States Website: Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print stefen Related Articles June 12, 2020 3 E Scooter Moped And E Motorcycle Market 2026 Growth Factors, Opportunities, Ongoing Trends Key Players June 7, 2020 3 Global Para Toluene Sulfonyl Hydrazide Market 2020 COVID19 After Effects Analysis Emerging Trends, Industry Demand, Growth, Key Players May 29, 2020 2 Global Core Saws Market Report 2020 Covering Impact COVID19, Financial Information, Developments, SWOT Analysis June 9, 2020 2 Global Gear Pumps Market 2020 Business Scenario Bosch Rexroth, Atos, Parker Hannifin, Bailey International Facebook Twitter WhatsApp Telegram Close for: for: Recent Posts Smart Power Technology Market Business Growth Statistics Key Players Insights[PDF] Addressing Potential Impact CoronaVirus COVID19 World corona virus Dispatch: Automotive Transfer Cases Market: Soaring Demand Assures Motivated Revenue Share During 20202029 Food Packaging Market Business Growth Statistics Key Players Insights[PDF] Addressing Potential Impact CoronaVirus COVID19 Latest News 2020: Perforating Gun Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Schlumberger Limited,DYNAenergetics GmbH Co. KG Analysis MarketResearch.Biz Latest News 2020: Artificial Intelligence Diabetes Management Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Apple .,Diabnext Analysis MarketResearch.Biz Recent Comments Close Log In Forget? Remember Log In | 2,020 | [
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https://www.devdiscourse.com/article/headlines/1063855-drdo-research-centre-develops-non-contact-ai-based-attendance-system | 2020-05-23T00:00:00 | en | DRDO research centre develops non-contact AI based attendance system |
DRDO research centre develops non-contact AI based attendance system
Select EditionPacificSouth AsiaEast and South East AsiaEurope and Central AsiaCentral AfricaEast AfricaSouthern Africa West AfricaMiddle East and North AfricaNorth America Latin America and Caribbean HOME NEWS RESEARCH LIVE DISCOURSE BLOG / OPINION SUBMIT PRESS RELEASE About Career Advertisement Team Partnership Knowledge Partnership Media Partnership Contact Us NEWS RESEARCH LIVE DISCOURSE BLOG / OPINION INTERVIEW SUBMIT PRESS RELEASE Agro-Forestry Art & Culture Technology Economy Education Energy Politics Law & Governance Health Science Social Sports Transport Urban Development WASH
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Article DRDO research centre develops non-contact AI based attendance system COVID-19 pandemic has presently made it unsafe to use contact based biometric verification for attendance marking systems. To circumvent this problem, Research Centre Imarat (RCI), DRDO, has successfully developed AI based Attendance Application (AINA) which allows non-contact based personnel verification using facial features of the person captured with the help of a low cost camera. ANI | Hyderabad (Telangana) | Updated: 23-05-2020 23:31 IST | Created: 23-05-2020 23:18 IST Research Centre Imarat (RCI), DRDO has successfully developed AI based Attendance Application (AINA) (Photo/ANI). Image Credit: ANI COVID-19 pandemic has presently made it unsafe to use contact based biometric verification for attendance marking systems. To circumvent this problem, Research Centre Imarat (RCI), DRDO, has successfully developed AI based Attendance Application (AINA) which allows non-contact based personnel verification using facial features of the person captured with the help of a low cost camera. AINA can be deployed with minimal upgradation to the legacy attendance infrastructure with RFID readers. It can be installed on a normal desktop computer with a GPU based display adapter.
Existing CCTV cameras can be utilised for capturing facial images. Facial features of several thousands of employees can be stored in the computer since for each employee the facial features are encoded in a small (less than 25 KB) file. The system is fully scalable since the time for identification and verification for each person remains constant even as the number of registered personnel increases.
It is fully secure as it works as a standalone system and does not require any connection to the Internet. Since only the facial features are saved in an encoded form, the actual face images need not be saved. thereby ensuring privacy and security. Also, the server storing the facial feature database is confined to the organisation premises. AINA has a light-weight installation process. AINA comes with a very intuitive and user-friendly GUI with audio prompts which can be optionally disabled. The application has been currently installed in ESIC Hospital, Hyderabad. (ANI) Share READ MORE ON: Research Centre Imarat DRDO Hyderabad Advertisement POST / READ COMMENTS Country India Share Facebook Twitter LinkedIn Youtube Advertisement TRENDING
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| DRDO research centre develops non-contact AI based attendance system | DRDO research centre develops noncontact AI based attendance Select EditionPacificSouth AsiaEast South East AsiaEurope Central AsiaCentral AfricaEast AfricaSouthern Africa West AfricaMiddle East North AfricaNorth America Latin America Caribbean HOME NEWS RESEARCH LIVE DISCOURSE BLOG OPINION SUBMIT PRESS RELEASE About Career Advertisement Team Partnership Knowledge Partnership Media Partnership Us NEWS RESEARCH LIVE DISCOURSE BLOG OPINION INTERVIEW SUBMIT PRESS RELEASE AgroForestry Art Culture Technology Economy Education Energy Politics Law Governance Health Science Social Sports Transport Urban Development WASH Advertisement Home News Technology Article DRDO research centre develops noncontact AI based attendance COVID19 pandemic presently unsafe use contact based biometric verification attendance marking systems. To circumvent problem, Research Centre Imarat RCI, DRDO, successfully developed AI based Attendance Application AINA allows noncontact based personnel verification facial features person captured help low cost camera. ANI Hyderabad Telangana Updated: 23052020 23:31 IST Created: 23052020 23:18 IST Research Centre Imarat RCI, DRDO successfully developed AI based Attendance Application AINA PhotoANI. Image Credit: ANI COVID19 pandemic presently unsafe use contact based biometric verification attendance marking systems. To circumvent problem, Research Centre Imarat RCI, DRDO, successfully developed AI based Attendance Application AINA allows noncontact based personnel verification facial features person captured help low cost camera. AINA deployed minimal upgradation legacy attendance infrastructure RFID readers. It installed normal desktop GPU based display adapter. Existing CCTV cameras utilised capturing facial images. Facial features thousands employees stored employee facial features encoded small 25 KB file. The fully scalable time identification verification person remains constant number registered personnel increases. It fully secure works standalone require connection Internet. Since facial features saved encoded form, actual face images need saved. ensuring privacy security. Also, server storing facial feature database confined organisation premises. AINA lightweight installation process. AINA comes intuitive userfriendly GUI audio prompts optionally disabled. The application currently installed ESIC Hospital, Hyderabad. ANI Share READ MORE ON: Research Centre Imarat DRDO Hyderabad Advertisement POST READ COMMENTS Country India Share Facebook Twitter LinkedIn Youtube Advertisement TRENDING Money Heist Season 5 confirmed, Who going die upcoming season? 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He also... Bengal urge Centre postpone domestic flight services state: Mamata Chief Minister Mamata Banerjee Saturday said West Bengal urge Centre postpone resuming domestic flight services Kolkata Bagdogra airports days state busy managing damage caused Cyclo... 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https://yourstory.com/mystory/things-know-data-science-career | 2020-03-05T00:00:00 | en | Things to Know about Data Science Career in 2020 | Things to Know about Data Science Career in 2020 அअಅYourStoryAcademyHerStorySocialStorySMBStoryYourStoryTVMoreAwardsAdvertise With UsAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualLanguageEnglishKannadaHindiAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginLanguageEnglishKannadaHindiAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginOpinionThings to Know about Data Science Career in 2020What is Data Science?
how to get into this career?
What are the skills required to become data scientist?
If you have similar kind of questions go through the article.By Sagar5th Mar 2020+0 Share on+0 Share onShare onData is exploding every millisecond and the need to analyze it is also increasing exponentially. When the organizations are desperately looking for intellectually curious Data Science professionals to juggle their stored data, are they able to hire skilled Data Science professionals at ease? The sad truth is no, why because? Data Science is a new field and professionals are puzzled on how to equip themselves with essential job skills for this career. Well, the Sexiest job of the 21st century isn’t that hard to crack when you read this article.First, let us see what Data Science is all aboutWhat is Data Science?Do you know even the ‘world’s tiniest product’ that is sold in the market is delivering huge chunks of usable customer data to its manufacturer?? All the procured data are safely stored in the company’s database and awaiting its turn to be analyzed. When we start analyzing this stored data, we can gain actionable insights that help in enhancing the profit of the business.Data Science is a multidisciplinary approach that combines the power of statistics and programming to work upon the raw data for producing actionable business insights. Harnessing the raw data is not all that easy as it sounds. The data might not always be in the structured form and can be in any crude form. It requires an out of the box thinking along with mastering of Data Science tools and techniques for a Data Scientist to effectively do this job.Why Data Scientists are in constant demand?One of the often-heard questions is “what’s driving this huge demand for Data Science professionals??”. When we analyze this question, the first thought that crosses our mind is the tech giants such as Google, Amazon, etc started witnessing huge success by uncovering the hidden insights from their stored data. It is not only the high-tech Software firms that are looking for Data Scientists also many more businesses started considering Data Analytics as a critical source of success in this highly competitive business market. Ultimately, an exponential rise in the demand for Data Scientists is seen in recent times. However, the biggest challenge that these companies face is the “Limited availability of Skilled Data Science Professionals”. With the Data Science-based jobs witnessing massive growth, there seems to be a huge gap in skilled candidates filling up these positions.What are the different roles available in a Data Science Career? Apart from being a Data Scientist, one can assume many other roles depending upon their line of interest, such as Data Architect, Data Administrator, Data Analyst, Business Analyst, Data/Analytics Manager, Business Intelligence Manager, Big Data Specialists, Machine Learning engineer and more. These roles include a typical entry-level position to a specialist and also the specifics vary from position to position and the career path is fairly open-minded. There are even internships available for an entry role that often lays a better path towards a full-time permanent Data Science job.Under this Data Science broad classification, we will have a detailed look at some highly rated job rolesData Science Engineer: This role demands hardcore technical knowledge and involves dealing with hardware, software applications, and other back end infrastructure process.Data Science developers: The ones who work with codes of Python, R and other Data Science languages and have the ability to use math and statistical technics are Data Science Developers.Data Analyst: Analyzing the data regularly which are obtained from various sources is what an Analyst’s job is all about. In addition, providing Reports with appropriate visualizations that aid the business owners to gain valuable insights.Big Data Specialists: Big Data Specialists are professionals with an in-depth understanding of Machine Learning, Deep Learning, and Neural networks and with an ability to work on big data using various techniques such as Data Mining.Data Scientist: Being a full-stack professional who is equipped with the skills to perform every aspect of Data Science. Starting from identifying the data sources, performing Data Collection, Processing and analyzing the data, building models and finally presenting it using Various Data visualization techniques.How to build a strong base for your Data Science career?This is the most interesting question of the day. Isn’t it?Currently, the Data Science career is the most rewarding career and many professionals are looking for a most promising way to dive into it. To start analyzing the big measure of data floating around, your aggressive edge in understanding few essentials is required.Look for Specific direction: Data Scientist is the common term and there are many sub positions available under this roof. Find out which subfield interests you. Whether you are an avid enthusiast in building a Machine Learning algorithm or interested in analyzing the neural networks of Deep Learning, find the specific niche and start equipping yourself accordingly.Learn the Data Science tools: Data Science is not restricted to working on statistical methods and deriving a formula. Data Scientist is a decision-maker of a company and it is crucial to master the Data Science tools such as SAS, Python, SPSS, R, and SQL along with your Statistics and Applied Mathematics knowledge. In addition, the working experience on Hadoop and Spark, programming languages, understanding of machine learning and deep learning would beneficial.Work upon your Communication skills: The heavy program codes implied on puzzling big chunks of numbers can inspire you but not the Business owners. If you are unable to convey the analyzed information in an easy to understand format to the business owners then you might lose the victory in your data battle. So, ace the ability to present the results in an understandable and easy way for your business owners.Showcase your Data Analytics skills: Never hesitate to explore the data when you get the opportunity to do so. Many Data Science professionals find it difficult to identify where to start once they are done with all the studying. Start identifying the sources of the hidden data that are waiting to be used and apply your skills.To conclude, Data Science is a booming field with lots of career opportunities and it is predicted to even grow more over the coming years. Equipping yourself with needed essential knowledge and practicing your skills will assure you a promising career in the Data Science field.careersdata science careersdata science course data scienceThis is a YourStory community post, written by one of our readers.The images and content in this post belong to their respective owners. If you feel that any content posted here is a violation of your copyright, please write to us at [email protected] and we will take it down. There has been no commercial exchange by YourStory for the publication of this article.+0 Share on+0 Share onShare onTrending NowTrending StoriesTop 5 Startup Ideas to Start from Home in 2020Neha KapoorRohitash Jadhav of Viral Mania Uncovers the Strategies to Grow Business Using FacebookNeha KapoorTop 10 IoT Solutions Companies For Digital TransformationAmit Solanki8 Tips to Expand Your Online Hotel Business Worldwide Without Losing out on ProfitsSpotnStay AppDaily CapsuleHow social commerce startups are taking India by stormRead HereLatestUpdates from around the worldTop Reasons for Using Blockchain in Healthcarenimble appgenieThe Value of Email Marketing in the current Social Media Uprising!Sofia WiltonWhy You Need To Consider These Do’s and Don’t of An App DevelopmentMolly JonesLegal Guide To Start Your Business
Amy JonesTop 10 IoT Solutions Companies For Digital TransformationAmit Solanki5 Tips by Varun Khanna to Make Your Startup Go ViralNeha KapoorOur Partner EventsHustle across IndiaFri Mar 06 2020The Economic Times presents Global Business Summit New Delhi Fri Mar 06 2020Diversity & Inclusion Summit 2020Hyderabad Fri Mar 06 2020Aarambh 2020GurugramSat Mar 07 2020MSME Innovation & Start-up Summit 2nd Edition & #Time2Leap AwardsBengaluruSee all Partner EventsDidn't find what you were looking for?Search for what you want, categories, tags, keywords, authors, events, anything under YourStorySEARCHTopicsTechReviewsGrowth HacksGovernment And LegalAboutAdvertise with usAboutMeet the teamReport an issueSupport CenterContact UsWork with usEvents© 2020 YourStory Media Pvt. Ltd.Privacy Policyv2.1.963Built with ♥ in India | Things to Know about Data Science Career in 2020 | Things Know Data Science Career 2020 YourStoryAcademyHerStorySocialStorySMBStoryYourStoryTVMoreAwardsAdvertise With UsAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualLanguageEnglishKannadaHindiAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduLanguageEnglishKannadaHindiAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduOpinionThings Know Data Science Career 2020What Data Science? career? What skills required data scientist? If similar kind questions article.By Sagar5th Mar 20200 Share on0 Share onShare onData exploding millisecond need analyze increasing exponentially. When organizations desperately looking intellectually curious Data Science professionals juggle stored data, able hire skilled Data Science professionals ease? The sad truth no, because? Data Science new field professionals puzzled equip essential job skills career. Well, Sexiest job 21st century isnt hard crack read article.First, let Data Science aboutWhat Data Science?Do know worlds tiniest product sold market delivering huge chunks usable customer data manufacturer?? All procured data safely stored companys database awaiting turn analyzed. When start analyzing stored data, gain actionable insights help enhancing profit business.Data Science multidisciplinary approach combines power statistics programming work raw data producing actionable business insights. Harnessing raw data easy sounds. The data structured form crude form. It requires box thinking mastering Data Science tools techniques Data Scientist effectively job.Why Data Scientists constant demand?One oftenheard questions whats driving huge demand Data Science professionals??. When analyze question, thought crosses mind tech giants Google, Amazon, started witnessing huge success uncovering hidden insights stored data. It hightech Software firms looking Data Scientists businesses started considering Data Analytics critical source success highly competitive business market. Ultimately, exponential rise demand Data Scientists seen recent times. However, biggest challenge companies face Limited availability Skilled Data Science Professionals. With Data Sciencebased jobs witnessing massive growth, huge gap skilled candidates filling positions.What different roles available Data Science Career? Apart Data Scientist, assume roles depending line interest, Data Architect, Data Administrator, Data Analyst, Business Analyst, DataAnalytics Manager, Business Intelligence Manager, Big Data Specialists, Machine Learning engineer more. These roles include typical entrylevel position specialist specifics vary position position career path fairly openminded. There internships available entry role lays better path fulltime permanent Data Science job.Under Data Science broad classification, detailed look highly rated job rolesData Science Engineer: This role demands hardcore technical knowledge involves dealing hardware, software applications, end infrastructure process.Data Science developers: The ones work codes Python, R Data Science languages ability use math statistical technics Data Science Developers.Data Analyst: Analyzing data regularly obtained sources Analysts job about. In addition, providing Reports appropriate visualizations aid business owners gain valuable insights.Big Data Specialists: Big Data Specialists professionals indepth understanding Machine Learning, Deep Learning, Neural networks ability work big data techniques Data Mining.Data Scientist: Being fullstack professional equipped skills perform aspect Data Science. Starting identifying data sources, performing Data Collection, Processing analyzing data, building models finally presenting Various Data visualization techniques.How build strong base Data Science career?This interesting question day. Isnt it?Currently, Data Science career rewarding career professionals looking promising way dive it. To start analyzing big measure data floating around, aggressive edge understanding essentials required.Look Specific direction: Data Scientist common term sub positions available roof. Find subfield interests you. Whether avid enthusiast building Machine Learning algorithm interested analyzing neural networks Deep Learning, specific niche start equipping accordingly.Learn Data Science tools: Data Science restricted working statistical methods deriving formula. Data Scientist decisionmaker company crucial master Data Science tools SAS, Python, SPSS, R, SQL Statistics Applied Mathematics knowledge. In addition, working experience Hadoop Spark, programming languages, understanding machine learning deep learning beneficial.Work Communication skills: The heavy program codes implied puzzling big chunks numbers inspire Business owners. If unable convey analyzed information easy understand format business owners lose victory data battle. So, ace ability present results understandable easy way business owners.Showcase Data Analytics skills: Never hesitate explore data opportunity so. Many Data Science professionals difficult identify start studying. Start identifying sources hidden data waiting apply skills.To conclude, Data Science booming field lots career opportunities predicted grow coming years. Equipping needed essential knowledge practicing skills assure promising career Data Science field.careersdata science careersdata science course data scienceThis YourStory community post, written readers.The images content post belong respective owners. If feel content posted violation copyright, write mystory down. There commercial exchange YourStory publication article.0 Share on0 Share onShare onTrending NowTrending StoriesTop 5 Startup Ideas Start Home 2020Neha KapoorRohitash Jadhav Viral Mania Uncovers Strategies Grow Business Using FacebookNeha KapoorTop 10 IoT Solutions Companies For Digital TransformationAmit Solanki8 Tips Expand Your Online Hotel Business Worldwide Without Losing ProfitsSpotnStay AppDaily CapsuleHow social commerce startups taking India stormRead HereLatestUpdates worldTop Reasons Using Blockchain Healthcarenimble appgenieThe Value Email Marketing current Social Media UprisingSofia WiltonWhy You Need To Consider These Dos Dont An App DevelopmentMolly JonesLegal Guide To Start Your Business Amy JonesTop 10 IoT Solutions Companies For Digital TransformationAmit Solanki5 Tips Varun Khanna Make Your Startup Go ViralNeha KapoorOur Partner EventsHustle IndiaFri Mar 06 2020The Economic Times presents Global Business Summit New Delhi Fri Mar 06 2020Diversity lusion Summit 2020Hyderabad Fri Mar 06 2020Aarambh 2020GurugramSat Mar 07 2020MSME Innovation Startup Summit 2nd Edition Time2Leap AwardsBengaluruSee Partner EventsDidnt looking for? want, categories, tags, keywords, authors, events, YourStorySEARCHTopicsTechReviewsGrowth HacksGovernment And LegalAboutAdvertise usAboutMeet teamReport issueSupport Center UsWork usEvents 2020 YourStory Media Pvt. 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