The application of artificial intelligence and machine learning models to geographic and location-based data, enabling pattern recognition, prediction, and anomaly detection at scale.
This is where machine learning gets applied on top of the Geo and Mobility layers clustering visit patterns to detect an emerging trade area, forecasting demand shifts before they show up in sales, or flagging an anomaly like a sudden drop in foot traffic that a human analyst would take days to spot manually.
Further reading: Closing the gap between AI and real-world data · How AI uses real-world data
