Maximizing efficiencies and crop yield. Detecting diseases based on remote sensing data and segmenting crops by quality based on images.
Predicting patient outcomes.
Predicting financial health and identifying struggling companies using market metrics.
Lowering costs and improving population health, preventing emergency room visits and predicting effective treatment types for patients.
Predicting parts failure before they occur and cleaning up cities, and reducing traffic congestion.