The AI-Enabled Analyst: The Future of Geospatial Intelligence


This USGIF white paper is intended for government and industry leaders involved in the defense, intelligence, and, specifically, the geospatial intelligence (“GEOINT”) community with an interest in Artificial Intelligence (AI) and Machine Learning (ML). The paper provides a look into the future of GEOINT through the lens of how analysts will work with AI and ML based systems to produce more robust and accurate intelligence faster. This paper presents a subset of GEOINT focused AI/ML applications, including generative AI, AI for Data Fusion, democratized AI through AI services, practical AI at scale via low code solutions, and AI solutions driven by the metaverse. These approaches will revolutionize GEOINT tradecraft by enabling analysts to answer questions that were previously unanswerable. Finally, the paper concludes with specific recommendations for realizing an AI-enabled GEOINT future.


Jeff Spugnardi, Google Public Sector
David Gleason, Amazon Web Services
Robert Cala, Palantir
Todd Bacastow, Maxar
Mark Ronlov, NVIDIA
Nick Toscano, Oracle
Donald Polaski, Booz Allen Hamilton