NOAA has launched a groundbreaking new suite of operational, artificial intelligence (AI)-driven global weather prediction ...

The AI insights highlight where accuracy is improving or deteriorating, enabling proactive responses. Private LLM-generated explanations help teams focus on insights that matter most. Likewise, ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI ...

Hurricane Erin was one of the largest storms recorded in the Atlantic basin, with only around 5% of storms matching or exceeding its size. Both operational and experimental NOAA forecast models for ...

Accurately predicting solar irradiance and wind flow patterns is requisite for renewable energy forecasting—but precision alone simply isn't enough. The data must be actionable, fast, and seamlessly ...

Global weather models form the foundation of much of the available solar irradiance and power forecasting, and are typically sourced from publicly funded weather agencies, including the European ...

From new tariffs and trade uncertainty to geopolitical tension and extreme weather events, external forces have upended traditional demand forecasting approaches. Among those most impacted are the CPG ...

WM-2’s new forecasting records can be attributed to both WindBorne’s novel pipeline of atmospheric data, as well as to the company’s proprietary AI modeling innovations PALO ALTO, Calif.--(BUSINESS ...

Overview:  Bigger models don’t automatically perform better in supply chains. For routine operations like inventory checks, ...