GEOSPATIAL FRONTIERS
A Publication by Project Geospatial
LOOKING BEYOND
THE MAP
Geospatial Frontiers, a new publication from Project Geospatial, brings together leading voices and experts from across the geospatial ecosystem to tackle the industry's most pressing challenges. Through in-depth articles and discussions, Geospatial Frontiers aims to explore innovative solutions and spark critical conversations that will shape the future of geospatial technology and its applications.
AUTHORS
Adam Simmons
Keith Barber
Fred Woods
The Artificial Intelligence and Machine Learning Imperative: Filtering the Noise
Today's intelligence, surveillance, and reconnaissance (ISR) community faces a critical crisis: analysts are drowning in exponential volumes of sensor data from the expanding Internet of Battle Things (IoBT), leading to severe cognitive overload and missed threats in contested environments. The imperative solution is the rapid integration of Artificial Intelligence (AI) and Machine Learning (ML) to filter noise and automate multi-source sensor fusion. This article explores how leveraging edge processing and AI-driven workflows—exemplified by DARPA programs and innovations from BAE Systems, Esri, and Palantir—can transform overwhelmed analysts into agile decision-makers, securing information dominance against increasingly sophisticated adversaries.