In November 2023, the Department of Defense released its data, analytics and AI adoption strategy, which was designed to accelerate the DOD’s embrace of AI and help to speed up the decision making process on the battlefield. Now, the DOD is focusing on quality data and other efforts to put the strategy into action.
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The strategy outlines the Pentagon’s “AI hierarchy of needs” — quality data, governance, insightful analytics and metrics, assurance and responsible AI — and prioritizes five decision advantage outcomes — superior battlespace awareness and understanding; adaptive force planning and application; fast, precise and resilient kill chains; resilient sustainment support; and efficient enterprise business operations.
The DOD’s Chief Digital and Artificial Intelligence Officer Craig Martell, a 2024 Wash100 Award winner, has placed a heavy emphasis on the data quality component of the AI strategy in his role at CDAO, and he has also noted that this will in turn help advance the DOD’s CJADC2 initiative. But CDAO can’t do it alone, and Martell said the DOD will need industry’s help in realizing its AI and data goals.
“If you can be helpful with data labeling, if you can be helpful [with] data monitoring…we need to work with you,” Martell said at a CDAO event earlier this month.
“Data labeling as a service … we already have that in a pilot,” he said. “We’re just getting started on data transformation as a service. [And] please be on the lookout about model monitoring as a service,” he revealed.
He also noted that the CDAO has already released requests for information for data mesh, and there will be RFIs for data monitoring released in the near future as well. “Respond to them,” he urged the industry audience.
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