Sentences with phrase «of big data analytics»

About Blog Aislelabs is a technology company assisting retailers to increase sales through the power of big data analytics.

These are just a few besides, Risk assessment and Portfolio Stress Testing and other Risk Mitigating Controls that are possible due to the intervention of big data analytics.

Aside from the Cambridge Analytica scandal, he said that the «ever - increasing pervasiveness of big data analytics and artificial intelligence in our daily lives has a varied impact on civic engagement in decision - making and on the barriers to public involvement in democratic processes.»

A recent article by Renee Knake, a Michigan State University law professor and co-director of the Kelley Institute of Ethics & the Legal Profession, broke down some of the key Model Rules impacting the ethics of big data analytics in law.

Overall, however, the survey found that the use of big data analytics was on the rise and that the majority of professionals surveyed (64 %) at least rely on data analytics in e-discovery.

Alain Destexhe, Research Director of Unité de Neurosciences CNRS, Gif - sur - Yvette, France Bruno Weber, Professor of Multimodal Experimental Imaging, Universitaet Zuerich, Switzerland Carmen Gruber Traub, Fraunhofer, Germany Costas Kiparissides, Certh, Greece Cyril Poupon, Head of the Nuclear Magnetic Resonance Imaging and Spectroscopy unit of NeuroSpin, University Paris Saclay, Gif - sur - Yvette, France David Boas, Professor of Radiology at Massachusetts General Hospital, Harvard Medical School, University of Pennsylvania Hanchuan Peng, Associate Investigator at Allen Brain Institute, Seattle, US Huib Manswelder, Head of Department of Integrative Neurophysiology Center for Neurogenomics and Cognitive Research, VU University, Amsterdam Jan G. Bjaalie, Head of Neuroinformatics division, Institute of Basic Medical Sciences, University of Oslo, Norway Jean - François Mangin, Research Director Neuroimaging at CEA, Gif - sur - Yvette, France Jordi Mones, Institut de la Macula y la Retina, Barcelona, Spain Jurgen Popp, Scientific Director of the Leibniz Institute of Photonic Technology, Jena, Germany Katharina Zimmermann, Hochshule, Germany Katrin Amunts, Director of the Institute Structural and functional organisation of the brain, Forschungszentrum Juelich, Germany Leslie M. Loew, Professor at University of Connecticut Health Center, Connecticut, US Marc - Oliver Gewaltig, Section Manager of Neurorobotics, Simulation Neuroscience Division - Ecole Polytechnique fédérale de Lausanne (EPFL), Geneve, Switzerland Markus Axer, Head of Fiber architecture group, Institute of Neuroscience and Medicine (INM - 1) at Forschungszentrum Juelich, Germany Mickey Scheinowitz, Head of Regenerative Therapy Department of Biomedical Engineering and Neufeld Cardiac Research Institute, Tel - Aviv University, Israel Pablo Loza, Institute of Photonic Sciences, Castelldefels, Spain Patrick Hof, Mount Sinai Hospital, New York, US Paul Tiesinga, Professor at Faculty of Science, Radboud University, Nijmegen, Netherlands Silvestro Micera, Director of the Translational Neural Engineering (TNE) Laboratory, and Associate Professor at the EPFL School of Engineering and the Centre for Neuroprosthetics Timo Dicksheid, Group Leader of Big Data Analytics, Institute Structural and functional organisation of the brain, Forschungszentrum Juelich, Germany Trygve Leergaard, Professor of Neural Systems, Institute of Basic Medical Sciences, University of Oslo, Norway Viktor Jirsa, Director of the Institute de Neurosciences des Systèmes and Director of Research at the CNRS, Marseille, France

With deep expertise and technologies in the areas of Big Data Analytics, Artificial Intelligence, Computational Biology, Bioengineering, Biosensors, and Super Computing, Game Changer Tec is a natural choice for our analytics and research team.

In recent years, however, the emergence of Big Data analytics has prompted many lenders to consider nontraditional types of data that are less obviously related to creditworthiness.

Accenture defines the industrial internet as the combination of Big Data analytics with the Internet of Things.

To get deals in your inbox each morning, sign up for our Term Sheet newsletter Venture Capital Deals Apixio Inc., a San Mateo, Calif. - based provider of big data analytics for the healthcare market, has raised...

Data and digitalization have transformed many industries, including oil and gas, and they will continue to do so, creating billions of U.S. dollars from the businesses of big data analytics and digital oil fields.

Not exact matches

The company offers a big data analytics platform which aggregates private MLS data and analyzes years of home transactions to identify real estate specialists in specific neighborhoods and price points.

A new book explains how data analytics could slash the profits and market share of big public companies.

The cash will help D2L rebuild its platform as a data and analytics powerhouse, and take advantage of its biggest secret weapon: 15 years of student data.

Increasingly, there's a new technological race in which hedge funds and other well - heeled investors armed with big - data analytics instantly analyze millions of Twitter messages and other non-traditional information sources to buy and sell stocks faster than smaller investors can hit «retweet.»

The rise of the cloud is having a dramatic impact, making big - data analytics technologies within reach for small businesses and startups.

This former consultant (Booz Allen and Price Waterhouse) has rocked the world of big data with his eight - year - old firm, which provides data and analytics services to a quarter of the companies on the Fortune 500.

Big Data While the definitive source of the term big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 200Big Data While the definitive source of the term big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 20Data While the definitive source of the term big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 200big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 20data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 2000s.

Big data analytics is one of the most groundbreaking concepts to develop since the change of the millennium.

Luc is a co-founder and the CEO of NGDATA, a big data analytics and enterprise data management company.

«Big data analytics offers lots of opportunities to visualize data for business users,» writes Ed Burns, senior news writer for SearchBusinessAnalytics.

Make use of predictive analytics and big data to discover consumer patterns that allow you to craft targeted offers.

Those teams have incredible real - time analytics, not just at the race venue, but also real - time, big data beamed from a car driving at up to 200mph on a race track on one side of the globe to the race team's headquarters in England.

Still, HPE faces stiff competition from big cloud computing vendors like Amazon (amzn), Microsoft (msft), and Google (goog), which continue to roll out advanced data analytics services and could undercut the need for businesses buy this type of powerful hardware.

I was talking with Michel Guillet of Juice Analytics, a provider of products and services that make visualizing Big Data easier, about this very problem.

So you've heard of «big data» and maybe you've heard of «analytics.»

The fields and arenas of professional sports are a testing ground for the return on investment that's possible from data analytics, and nothing did as much to popularize the concept of big data in sports as «Moneyball.»

He previously launched a series of technology - driven startups, including venture - backed big data analytics firm CANDDi.

Today, the company announced it had created the largest database of job candidates, with one billion professional profiles and an algorithm that applies big data and predictive analytics to match recruiters with relevant, qualified candidates.

But according to Adeyemi Ajao, the co-founder of Identified, a big data and analytics company focused on professional information, there are two glaring problems: First, not everyone is on LinkedIn, and second, the search options are not nearly specific enough.

Opportunities for collaboration exist in many areas of healthcare, including cost transparency, tracking and wearable technology, as well as big - data analytics, personalized care and real - time remote healthcare solutions.

A big part of this struggle derives from the fact that data is dispersed across so many disparate platforms, including marketing automation, CRMs, Google Analytics, etc., and it has become more difficult to merge and analyze this data in meaningful ways.

44 percent of all digital health funding involved analytics and big data, healthcare consumer engagement, digital medical devices, telemedicine, personalized medicine involving genetics, and population health management.

A perfect storm of new tech including blockchain, the internet of things and big data analytics is changing the outlook for microinsurance.

Using big data analytics, Pursway gives companies a way to determine pockets of purchase influence — the customers most likely to drive additional sales and the prospects most likely to respond to offers and buy — based on the simple concept that friends buy what their friends buy.

And while he was fuzzy on many details, giving lots of partial answers and promises to «follow up», one thing he did confirm was that Facebook board member Peter Thiel's secretive big data analytics firm, Palantir, is one of the companies Facebook is investigating as part of a historical audit of app developers» use of its platform.

Mike is also Chairman of Dataspora, a big data and analytics consultancy he founded in 2007.

By combining data from physical and eCommerce sites, retailers can extract a variety of outputs using big data analytics that help guide leadership teams in making effective decisions.

Turns out there is a link between Peter Thiel's secretive big data analytics firm, Palantir, and Cambridge Analytica — the political consulting firm at the center of the current Facebook data misuse scandal.

Aneesh Reddy, CEO of Capillary Technologies, said, «Both Sequoia and Norwest have amazing track records in helping build significant companies â $ «particularly in the Big Data and analytics sectors.

While investments in BIG data surged in the past two years, investing in BIG insights will gain more attention as B2B Marketers continue to struggle making sense out of data and analytics.

The SaaS (software as a service) side of the business uses technologies like machine learning, Big Data analytics, heuristics, and cognitive science for optimisation of route, vehicle, space use and cost.

My Analytics offers powerful, on - demand workforce insight for those seeking a big - picture view of company data in real time.

The exodus comes in the wake of what is Facebook's biggest controversy to date: Data belonging to 50 million Americans was harvested from a quiz app created in 2013 called «thisisyourdigitallife» and then acquired without permission by the political analytics firm Cambridge Analytica.

Hans Lombardo Journalist, policy analyst, and evangelist of new, disruptive technologies including big data analytics, Internet of Things, and crypto - currencies.

Marketing automation allows you to nurture marketing qualified leads until they become sales qualified, deliver better quality leads to the sales staff who's biggest gripe has always been about the quality of leads marketing provides to them, accelerate the sales process and gain invaluable data and analytics to influence future campaigns.

Mr. Sunil Ranka has a 15 years of Hands on IT and Management experience in Data Analytics, Pre-sales, software architecture, design, development, testing, customization, and integration, enterprise applications and data warehousing Application using Big Data and Business Intelligence TechnologData Analytics, Pre-sales, software architecture, design, development, testing, customization, and integration, enterprise applications and data warehousing Application using Big Data and Business Intelligence Technologdata warehousing Application using Big Data and Business Intelligence TechnologData and Business Intelligence Technologies.

The new world of big data and analytics could make CMOs be in a constant state of having heads down and peering through numbers.

That has turned into a thoughtful pivot in the direction of analytics, which so many companies consider important in this new age of «Big Data.»

Through the strategic partnership between Tmall Global and Metro, the companies also agreed to explore opportunities for collaboration in omni - channel retailing, global sourcing and supply chain optimization, online - to - offline integration with Metro's existing China stores, and use of big - data analytics to gain market insights, according to the press release.