Geospatial Intelligence & AI/ML Progress During a Pandemic

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


The recent global working climate, altered by COVID-19, has driven considerable change in how the geospatial community delivers support and new capabilities for artificial intelligence and machine learning (AI/ML). The pandemic forced analysts to work from home without the advanced infrastructure required for ML, but the high demands of mission requirements remained. The geospatial community had to adapt. New technologies are accommodating workflow gaps, existing technologies are being leveraged in new and innovative ways, and from an operational and cultural perspective, teams are embracing new approaches to their work. The United States Geospatial Intelligence Foundation (USGIF) reached out to its members in the community to understand this impact, assess the benefits and challenges, and ask the question: What can we expect moving forward?


Machine Learning and Artificial Intelligence Working Group (MLAI WG)
Wynn Thane, Guidehouse, MLAI WG Chair
Scott Jachimski, Booz Allen Hamilton, MLAI WG Chair
William Rorrer, L3Harris Technologies, MLAI WG Chair
William Astore, Skyris LLC
Todd Bacastow, Maxar
David Gleason, Amazon Web Services
Brett Haupt, Guidehouse
Donald Polaski, Booz Allen Hamilton
Don Widener, BAE Systems