The State of AI/ML in the GEOINT Community and Beyond
An overview in AI/ML capabilities currently in China, Russia, and other actors, and how to address the AI/ML gap with workforce training, leadership backing, and culture shifts
Synopsis
This USGIF whitepaper is intended for government and industry leaders involved in the defense, intelligence, and specifically the Geospatial-Intelligence (“GEOINT”) community with an interest in AI/ML. The paper will provide an overview in AI/ML capabilities currently in China, Russia, and other actors. The paper will highlight several problem sets today in GEOINT, namely current capability gaps in the GEOINT community, with discussions on US policy, leadership, and culture around AI/ML. The paper will provide ideas on how to address the AI/ML gap with workforce training, leadership backing, and culture shifts. Finally, the paper concludes with several GEOINT-based AI/ML use cases.
Acknowledgments
Todd M. Bacastow, Senior Director, Maxar
Mark Knapp, VP, Defense & Intelligence, Preligens
Patrick Neary, Ph.D., Research Scientist,
Space Dynamics Laboratory
Suzy Park, Data Scientist, Guidehouse
Don Polaski, Chief Scientist, Booz Allen Hamilton
Mark Ronlov, Senior Account Manager, NVIDIA
Jeff Spugnardi, CTO, Spugnardi Services
Sponsors
