AI & Analytics
Pentagon looks to expand JAIC’s supply chain pilot
The Defense Department is looking to scale a new tool that predicts weak spots in the supply chain due to COVID-19 outbreaks and countermeasures.
The Pentagon’s Joint Artificial Intelligence Center developed Project Salus, a data aggregation platform that uses predictive modeling, to narrow down supply chain demands and shortages in specific locations so front-line workers can get needed equipment.
Nathaniel Bastian, the JAIC’s chief artificial intelligence solution architect and acting chief for the data science and AI engineering division, said the platform, which has been tested by combatant commanders in the National Guard Bureau and U.S. Northern Command, is in its second series of sprints and is being prepped for transition.
“Until June 1, the JAIC is actively looking to transition the capability and finalize those transition partners,” Bastian said during an AFCEA International and George Mason University event on artificial intelligence May 20. That transition means making Salus, which focuses mostly on supply chain, adaptable to more generalized problem sets and future pandemic modeling efforts.
This article first appeared on FCW, a partner site of Defense Systems.
About the Author
Lauren C. Williams is a staff writer at FCW covering defense and cybersecurity.
Prior to joining FCW, Williams was the tech reporter for ThinkProgress, where she covered everything from internet culture to national security issues. In past positions, Williams covered health care, politics and crime for various publications, including The Seattle Times.
Williams graduated with a master’s in journalism from the University of Maryland, College Park and a bachelor’s in dietetics from the University of Delaware. She can be contacted at [email protected], or follow her on Twitter @lalaurenista.
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