In the United States public sector, the vision is to manage water resources smartly and proactively by making informed decisions well in advance. The strategy employs unsupervised machine learning to accurately forecast summer rainfall across the American Southwest, particularly Arizona and New Mexico. This approach predicts summer rains months ahead, enabling water managers to plan resource allocation effectively, respond to droughts, and improve water demand forecasts. These outcomes build resilience in water supply amid ongoing megadrought conditions, supporting sustainable resource management, thanks to HPE.

Join for free to read