Innovation

Intel and DARPA look to AI and machine learning to boost graph analytics in big data

DARPA and Intel are working on a program called HIVE that looks to improve businesses' work in big data with graph analytics.

The US Defense Advanced Research Projects Agency (DARPA) will officially begin collaborating with Intel on a computing platform that uses artificial intelligence (AI) and machine learning to make it easier for businesses to utilize graph analytics in big data, the pair announced on Monday.

The partnership is an expansion of DARPA's Hierarchical Identify Verify & Exploit (HIVE) program. The HIVE program is working to "develop new technologies to realize 1,000x performance-per-watt gains in the ability to handle graph analytics," according to a press release.

Graph analytics focus on the many-to-many relationships in data, giving insight into multi-layered, indirect relationships in those datasets, the release said. Graph analytics are also helpful in gleaning insights from large and complex datasets.

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The $100 million project will take roughly four and a half years to complete. Specifically, Intel's Data Center Group (DCG), Platform Engineering Group (PEG), and Intel Labs are the divisions that will be working with DARPA.

"By mid-2021, the goal of HIVE is to provide a 16-node demonstration platform showcasing 1,000x performance-per-watt improvement over today's best-in-class hardware and software for graph analytics workloads," Dhiraj Mallick, vice president of Intel DCG, said in the release. "Intel's interest and focus in the area may lead to earlier commercial products featuring components of this pathfinding technology much sooner."

As noted in the release, some 90% of the data available now was created within the last two years. With the growth of the Internet of Things (IoT), the cloud, and digital transformation, that amount will likely continue to grow.

Big data is being used in industries like farming to help increase yields, while corporate businesses are using it to get a better grip on consumer behavior. Big data is also a computing trend that is continuing to drive advances in AI, as well creating new industries for practices such as data cleansing.

As big data continues to make its way through the enterprise, some have even suggested that 2017 will be the year that data science hits a turning point in providing even more value to businesses.

The 3 big takeaways for TechRepublic readers

  1. DARPA and Intel are working together on a new graph analytics platform that will boost big data deployments with AI and machine learning.
  2. Graph analytics help with the many-to-many relationships in big data, and can be used to analyze more complex datasets.
  3. Big data continues to makes its way into new industries, offering insights in areas like farming, manufacturing, sales, and more.

Also see

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Image: iStockphoto/solarseven

About Conner Forrest

Conner Forrest is a Senior Editor for TechRepublic. He covers enterprise technology and is interested in the convergence of tech and culture.

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