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 Evolving Role of Synthetic Data in GEOINT Tradecraft

The objective of this USGIF Working Group White Paper is to educate and inform the GEOINT community on the evolving role of synthetic data. Advances in artificial intelligence (AI) methods, such as Deep Learning (DL) and Generative AI, pose new opportunities and challenges in geospatial intelligence tradecraft.

Reimagining Unclassified Work and Platforms: A Geographically Agnostic GEOINT Enterprise

Transitioning More Data and Analytic Capabilities—and the Humans Who Use Them—to Unclassified, Accessible, and Interoperable Systems

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

Advancing the Interoperability of Geospatial-Intelligence Tradecraft with 3D Modeling, Simulation, and Game Engines

Technology trends that are influencing the convergence of GEOINT and the Modeling, Simulation, and Gaming tradecraft

Geospatial Intelligence & AI/ML Progress During a Pandemic

How the IC Has Adapted to the Challenges of COVID-19