Intel Unveils Analytics Technologies for Big Data, IoT

By Jeffrey Burt  |  Posted 2015-08-19 Print this article Print
big data

Among the offerings is Discovery Peak, analytics software that is underpinning a cloud platform created to facilitate collaborative cancer research.

SAN FRANCISCO—Intel last year introduced its Internet of things (IoT) Platform, a reference architecture that uses technologies from the chip maker to create an open environment that developers can leverage to build new products and solutions to address challenges presented by the proliferation of connected devices and data.

At the Intel Developer Forum (IDF) 2015 here, company officials are expanding on Intel's efforts to create a platform that reaches from the devices at the edge that generate data and into the data center, where much of that data is processed and analyzed. During the first two days of IDF, Intel executives have talked about everything from enhancing the company's IoT Developer program to creating a collaboration cloud designed to give hospitals better tools for battling cancer in patients.

The IoT and big data analytics are increasingly being joined at the hip. Intel and Cisco System officials expect that by 2020, there will be more than 50 billion connected devices creating massive amounts of data. The challenge is developing the necessary means to gather and analyze that data in ways that will result in useful information that businesses, researchers, hospitals and others can act on.

Demand for this capability is creating a transition away from the digital economy and toward an "algorithm economy," Diane Bryant, senior vice president and general manager of Intel's Data Center Group (DCG), said during a presentation here August 19.

"We're around all this data, and we're waiting for [information] to bubble up from that data," Bryant said.

She and Doug Davis, senior vice president and general manager of the chip maker's Internet of Things Group, outlined several steps Intel is taking to help organizations and developers find ways to more easily and quickly analyze the mountains of data being generated. That includes pushing forward with a project first announced in 2013 being done in conjunction with the  Knight Cancer Institute at Oregon Health and Science University (OHSU) to build an open, cloud-based platform to accelerate cancer research.

Bryant noted that health care was a particular industry that can benefit from the greater efficiencies and cost reductions that come with IoT and big data analytics, pointing out that the United States spends $2.5 trillion on health care every year, significantly more than other countries but without any better results. In addition, Eric Dishman, an Intel Fellow and general manager of the Health and Life Sciences unit within the DCG, pointed out that hospitals spend $10 billion a year treating infections that patients contract while in the hospital and that 60 percent of health care can be better done at home.

In the areas of personalized health care and such efforts as cancer research, a challenge is enabling hospitals and other health care institutions to collaborate over the Internet, according to Brian Druker, a researcher at OHSU. Security concerns are a key reason why doctors are hesitant to share health care information via the Web, Druker said during the presentation. Another is being unable to efficiently move the vast amounts of medical information involved.


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