GeoAI in Action

​Deploying artificial intelligence to analyze the physical world requires transitioning from static GIS mapping to dynamic, mission-critical GeoAI pipelines. When applied to defense situational awareness or healthcare emergency response, fragmented spatial datasets and manual validation create single points of failure that disrupt critical operations. Leaders in defense and healthcare must establish high-accuracy spatial data infrastructure (SDI) supported by automated Machine Learning Operations (ML Ops) to process remote sensing data and location intelligence at operational speed.

​In this case-study-driven presentation, Jackie Rajuai demonstrates how enterprise-scale GeoAI models and digital addressing frameworks are operationalized within high-stakes environments. Drawing from 17 years at Google Maps—where she managed ML Ops pipelines powering 24M+ listings and spearheaded global digital addressing initiatives reaching millions of citizens—Jackie breaks down tactical implementations across defense intelligence and public health logistics.