Case Study

Smarter water management in the face of drought

Smarter water management in the face of drought

Industry: Public sector Region: United States Vision Manage water resources smartly and proactively by making informed decisions well ahead of time Strategy Accurately forecast summer rainfall in the American Southwest using unsupervised machine learning Outcomes • Predicts summer rains across Arizona and New Mexico months in advance • Informs decisions on how to best manage dwindling water resources • Gives water managers enough time to plan resource allocation and to respond to droughts • Improves forecasts of water demand, building supply resilience As reservoirs in the American Southwest dry up amid a megadrought, states are looking to summer rains to know how to best plan and respond to the water crisis. But these rains have been unpredictable—until now. Using unsupervi

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