Summary
Generative AI data agents combined public search behavior with internal historical data to predict regional flu outbreaks. The system generated location-specific forecasts to support proactive healthcare planning and resource allocation. It enabled earlier detection of demand spikes and more informed operational decisions. The approach was scalable across geographies and adaptable to other disease surveillance use cases.