Applying Big Data and ML to Solve the World’s Toughest Geospatial Intelligence Problems

As new geospatial data sources come online the variety and velocity of this data makes it increasingly difficult to find the answers to intelligence problems manually. In this talk, the Booz Allen team provides insights into how we use the Databricks ML Runtime coupled with geospatial libraries like GeoMesa to accelerate GEOINT workflows. By combining these powerful tools, our team uses computer vision algorithms to extract data from imagery, build patterns of life with time series analysis and co-traveler