Dana Deasy on predictive maintenance
From Emerge 2019 Program Keynote: Dana Deasy, CIO, DoD · · General Dynamics Information Technology
“We said that's two problem too large of a problem set we said well let's take a particular area of maintenance and we said let's look at aviation platforms well that cut it in half down to 33 billion still too large of a problem so we kept willingness down until we got to a common asset that we thought would be a first good use case for AI and said the para Department offense and that led us to the age 60 the black hawk this is just simply showing the black hawk under maintenance that still I would argue is still too large of a problem to solve for is there's a lot of different key components that allow that asset to operate so what we did was we sat down with the folks from SOCOM and we actually started going through the operating environments the conditions of which the black hops are used and what we concluded was a very significant problem if you look over here to the left was when you fly these black hawks in conditions where there's a lot of dust and a lot of sand the sand builds up inside the engines that sand turns the glass and then that causes fatigue and eventual wear and maintenance on the engines we said now that's a particular problem that we can use AI to work on so we have actually already delivered approximately three weeks ago I believe version 1.0 of this algorithm to SOCOM that they're now using on the Blackhawks and you're gonna see it's then gonna be delivered to the Army the Air Force and the Navy.”
On , Dana Deasy, Chief Information Digital Officer, Senior Vice President, Information Digital Technology & Security at Boeing, spoke about predictive maintenance during Emerge 2019 Program Keynote: Dana Deasy, CIO, DoD on General Dynamics Information Technology.
About Dana Deasy
Dana Deasy, as the Department of Defense Chief Information Officer, has emphasized a digital modernization strategy built on four pillars: cloud, artificial intelligence, command and control communications, and next-generation cybersecurity. Speaking at several events in 2018 and 2019, he argued that AI would become "more than just a tool" and "a partner" to the warfighter, and described the Joint Artificial Intelligence Center as a vehicle for cross-service "national mission initiatives." He cited specific pilot projects, such as an algorithm to predict sand buildup in Black Hawk helicopter engines and the use of AI to map wildfire fire lines in real time, as examples of the technology’s potential. Deasy also stressed the need to reframe acquisition priorities from "cost, schedule and performance" to "security, cost, schedule and performance," calling security a "condition of doing business." He advocated for decentralizing compute power to the "tactical edge" and leveraging cloud to improve data and algorithm delivery to deployed forces. In addition, he described his approach to organizational leadership as leaving "your organization in a better place" with "enduring, sustainable" change, and noted that his early focus as DoD CIO was aligning his office with the National Defense Strategy.