Coast Guard turns to AI center for data insights
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To learn to crack its trove of mission data and improve aircraft maintenance, the Coast Guard sent an employee to the Defense Department's Joint Artificial Intelligence Center.
To crack its trove of mission data and improve aircraft maintenance, the Coast Guard sent an employee to the Defense Department's Joint Artificial Intelligence Center.
"We're looking see how do a better job doing predictive maintenance for aircraft, helicopters in particular," Capt. Michael Dickey, commander of the Coast Guard's C4IT Service Center, said after an May 21 AFCEA Bethesda panel.
The Coast Guard also wants to find ways to leverage the ocean of data those aircraft and its ships generate in their multiple roles, he said.
"Right now, what we and DOD do is collect gigabytes of data on a mission. We just dump it when a mission is done. We haven't built out the systems to retain the data, and we don't have systems that are capable of using the data afterward. We're collecting all this awesome data. Let's keep it and do something useful with it."
Those missions include the Coast Guard's search and rescue operations and its marine environmental protection work. "There's so much that we are collecting," he said. "If only we had the means to analyze it, we could understand a lot more about our maritime domain awareness on our coasts."
JAIC launched at the end of 2018 to help the DOD and the armed forces use AI to go up against a growing host of data-dense issues, including helicopter maintenance programs.
DOD CIO Dana Deasy said in an April 23 speech that JAIC has two deliveries ongoing and plans for more.
So far, JAIC has released the first version of an algorithm to help with H60 Blackhawk maintenance to the Special Operations Command that will then head to the Army, Air Force and Navy. It is also working on solutions to help firefighters predict a fire's movements and intensity and aid humanitarian assistance and disaster relief efforts, like California's wildfires.
This article was first posted to FCW, a sibling site to GCN.
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