How cloud, AI can leverage DOD's data stockpile
- By Derek B. Johnson
The Defense Department has accumulated a hoard of data it is finding difficult to use. According to a new report from George Washington University's Center for Cyber and Homeland Security, artificial intelligence -- powered by cloud computing and big data analytics -- could provide a solution.
Specifically, the report argues that the purpose of a September 2017 memo authorizing DOD officials to accelerate cloud adoption was to lay the foundation for a larger plan to unleash AI on the department's vast data repositories.
The cloud memo "was largely motivated for purposes of exploiting data, using and applying AI to a lot of our problems in defense," the report states.
How do the two technologies relate? By leveraging the cloud, AI algorithms can potentially exploit and process data at a previously unseen scale. While speaking at a public administration conference Nov. 16, John Kamensky, senior fellow at the IBM Center for the Business of Government, said that the same underlying incentives driving technologies like cloud computing and big data analytics are also driving the hype around AI.
"It is essentially the ability to take advantage of this massive amount of computing and storage computing power at our fingertips and the democratization of data itself," Kamensky said.
The report also calls good data -- specifically training data -- "the feedstock of AI." It argues that DOD's proprietary, non-public data is a previously untapped resource that could give it a leg up on others when it comes to training its AI systems.
"Our competitive advantage in DOD is the data we collect, with national technical means or otherwise," the brief continues. "This is data that is not in the public domain -- which gives us a competitive advantage in whatever AI algorithms that we have developed."
It's not the first time the idea of leveraging AI to put DOD data stockpiles to use has been entertained. In October, the department's CIO Essye Miller said at a military and technology conference that "we are hoarders" of data, and that there is "a natural inclination that we feel we have to keep everything." She also indicated that the department was looking at AI in some form to make use of its latent data.
Derek B. Johnson is a staff writer at FCW, covering governmentwide IT policy, cybersecurity and a range of other federal technology issues.
Prior to joining FCW, Johnson was a freelance technology journalist. His work has appeared in The Washington Post, GoodCall News, Foreign Policy Journal, Washington Technology, Elevation DC, Connection Newspapers and The Maryland Gazette.
Johnson has a Bachelor's degree in journalism from Hofstra University and a Master's degree in public policy from George Mason University. He can be contacted at email@example.com, or follow him on Twitter @derekdoestech.
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