Sentences with phrase «for big data technology»

According to research firm IDC, the total market for big data technology is estimated to triple in the coming five years, reaching $ 41.5 billion by 2018.

Not exact matches

Choosing the right technology tailored for your organization's needs will be crucial to your company's big - data analytics success.

As these changes continue to shape the future of big data and business intelligence, organizations will be faced with the challenge of deciding what technologies, and what providers, make the most sense for their operations.

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

Its big data technology using hundreds of thousands of data points to give you key actionable insights which are useful for shoppers and retailers alike.

Big data offers new frontiers for innovation, but don't leave it solely to your information technology team.

«SGI's innovative technologies and services, including its best - in - class big data analytics and high performance computing solutions, complement HPE's proven data center solutions designed to create business insight and accelerate time to value for customers,» HPE executive vice president and general manager Antonio Neri said in a statement.

For Dell, a giant business technology company is better suited to thrive in a rapidly changing technology landscape where businesses are increasingly buying less data center hardware and instead renting computing capacity from big cloud computing providers, like Amazon Web Services (amzn) and Microsoft (msft).

Flash storage, the memory technology commonly found in mobile phones, tablet PCs, and USB drives, which is increasingly playing a key role for processing big data in the enterprise.

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.

Software company SAS signed a cooperation agreement with Shenzhen Zhenghong Technology to establish the Big Data Innovation Center for Smart Manufacturing in Shenzhen.

The result is the use of big data, artificial wisdom, drones, and other tools we are familiar with from other branches of technology for the purpose of improving food crops.

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.

As part of the partnership, Cyberport and MaRS will work to identify business acceleration opportunities for ventures from both hubs, help facilitate relationships with the financial industry in Canada and Hong Kong, and enable collaboration on joint entrepreneurship programs focused on fintech, wearables, big data and payment technologies.

Oracle's database technology is pervasive across enterprise data centers, and smoothness of transition from one architecture to another is a big consideration for enterprise customers.

Profoundly powerful and fast - emerging technologies — from ubiquitous digital connectivity, to smarter big data, to computing systems that can reason and learn — are transforming a business landscape that accounts for almost 20 % of the U.S. economy and steadily growing shares elsewhere in the world.

The Shanghai Data Exchange, in coordination with various enterprise and academic entities, formed to create China's first national engineering laboratory for big - data distribution and exchange technologData Exchange, in coordination with various enterprise and academic entities, formed to create China's first national engineering laboratory for big - data distribution and exchange technologdata distribution and exchange technologies.

The skies may have been cloudy, but spirits were high, fueled by expectations for a resurgence in U.S. M&A deals, continued growth in healthcare venture fundraising, and the promise of big data and other technologies.

We invite all technology driven (web, mobile, software, hardware, drone, e-commerce, big data, AI, VR, SaaS etc.) early - stage startups based in Switzerland (or willing to relocate) to apply for funding from our smart money investors (in the range CHF 200» 000.

Meet Omada Health: With 87M consumers at risk of diabetes, 75,000 patients treated, 3 years of outcomes data, NetPromoter scores in the 90's, 70 + clients, and looming reimbursement by Medicare for its diabetes prevention online social network, Omada has «cracked the code» on integrating consumer technology, medical coaching and big data at scale.

If we look at technology, one area of innovation that has potential for a big impact is the technology around big data, blockchain and transparent transaction models.

This is according to a new Shopper Insights Report of 2,600 European consumers across seven countries conducted by IRI, the big data and technology expert for consumer industries.

This is according to IRI, the big data and technology expert for consumer industries, which has analyzed the Top FMCG Categories in 2017 across six major European countries (UK, France, Germany, Italy, Spain and the Netherlands).

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.

The big news in the domestic political campaign world late last week was the announcement that the 2012 Obama campaign's trove of data and technology would be released for use by other Democrats in 2014.

An age where digital technology, big data, the internet of things, all open up possibilities for a new era for industry.

Even in more stable, developed countries, big - data technologies can potentially be used for discrimination and manipulation, argued Jeramie Scott, national security counsel at the Electronic Privacy Information Center (EPIC).

«The development of sustainable large intelligent systems for mining of Big Data requires creation of technology and methods for fast non-destructive, non-iterative, and reversible corrections.

In the previous interviews with Subha Madhavan and Daniela Witten, the AAAS Center for Science, Technology, and Security Policy (CSTSP) discussed the role of Big Data in the biomedical sciences and the statistical challenges facing Big Data.

The researchers plan to continue to develop the transistor laser and explore its unique physics while also forming industry partnerships to commercialize the technology for energy - efficient big data transfer.

Leading up to the AAAS Center for Science, Technology, and Security Policy (CSTSP) and Federal Bureau of Investigation's public event on April 1, «Big Data, Life Sciences, and National Security,» CSTSP is bringing you a series of interviews with leading experts on Big Data.

Erik DeBenedictis of Sandia's Advanced Device Technologies department said Sandia can play an important role in creating breakthroughs that are not simply variations of transistors — developments such as computers that learn or technologies that move data from one part of the computer to another more efficiently — crucial for big data problems.

Scientists working with big data sometimes face government agencies and nongovernmental organizations that are unwilling to share their data, said Peter Speyer, chief data and technology officer at the Institute for Health Metrics and Evaluation at the University of Washington.

Despite ever - cheaper and faster sequencing technologies that now allow even a small lab to sequence an entire human genome, there is still a need for the big centers to explore genome biology, test out new technologies, and find better ways to analyze the data, say NHGRI officials.

To engage the public in a dialogue on this rapidly growing field, the AAAS Center for Science, Technology and Security Policy and the Federal Bureau of Investigation held a public event on April 1 on «Big Data, Life Sciences, and National Security.»

Researchers and public health officials have looked for ways to better understand the health concerns of transgender populations, so social «big data» technologies like Twitter offer an untapped rich source of information that they can use for the benefit of these communities.

Cloud computing offers an agile delivery model and a highly scalable infrastructure to support the demands for storage and computation of big data technologies.

The construction of the University Technology Center is the next step to enabling Penn State College of Medicine to utilize «big data» to enhance patient care through disease modeling and predictors for disease by more efficiently processing and analyzing clinical information.

With new technology for generating reams of genomic and molecular data, few scientists need convincing of the potential for big data — combined with clinical information from individual patients — to yield big answers for targeted cancer treatments.

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

Making sense of the «big data» that is now ubiquitous in biology requires the development of innovative new quantitative tools and techniques, grounded in classical theory yet adapted for powerful modern technologies.

Virus genome analysis has played a bigger role in understanding the West African Ebola epidemic than for any other infectious disease outbreak for two reasons: modern advances in sequencing technologies and scientists who were unusually willing to share data.

Now that biology has entered the age of big data, technologies such as genome sequencers are generating «too much data for us to look at by eye,» says Atwal.

Interaction Tools for Users to Dictate Progress (GigaOM) Online dating startup Zoosk uses big data techniques and technologies for a lot more than just computing which members might make the best mates.

In the hour - long talk, Gevorkyan describes how eHarmony creates the highly compatible matches it's known for, and how the company leverages Big Data technologies to accomplish that goal.

In closing let me make the point that technology is, at best, a tool but Big Data seems to be too big a gun to ignore for loBig Data seems to be too big a gun to ignore for lobig a gun to ignore for long.

Professor Thomas Kane and the team at the Center for Education Policy Research are experts at working closely with districts and harnessing big data to identify effective policies and practices in teacher preparation, teacher evaluation, and learning technologies.

For business, David Strom (2015), a world known expert on networking and communications technology, suggests that there are 3 main ways that Big Data can help business:

They aim to offer products that address the big issues in schools at the current time including productivity, data driven decision making, assessment for learning and collaborative learning, as well as how integrated technologies can be used to improve teaching and learning.

Detailing the research results in The New Basics: Big data reveals the skills young people need for the New Work Order the non-profit organisation notes it's not just IT and technology where digital skills are in demand.»