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

In today’s dynamic business environment, organizations are overwhelmed by vast amounts of data, yet the challenge remains in effectively leveraging this data to inform strategic decision-making. A ...

Kalshi has emerged as a significant force. It highlights research that positions its platform as a superior tool for ...

From deadly floods in Europe to intensifying tropical cyclones around the world, the climate crisis has made timely and precise forecasting more essential than ever. Yet traditional forecasting ...

Artificial intelligence (AI) is rapidly advancing frontiers in weather and climate forecasting, transforming how information is modeled, interpreted, and used to inform decision-making. These ...

The IMF’s CCAMTAC and Institute for Capacity Development assessed the National Bank of Kazakhstan’s monetary forecasting and ...

The logistics industry faces a myriad of challenges, from supply chain disruptions to fluctuating consumer demand. And while traditional forecasting methods have been acceptable for years, they often ...

Researchers at the University of Cambridge, together with the Alan Turing Institute, Microsoft Research, and the European Center for Medium Range Weather Forecasts, have developed a new AI-based ...

Recently, researchers from the Institute of Urban Meteorology, China Meteorological Administration, have combined data from the Fengyun-4B satellite with the regional numerical forecast model RMAPS-ST ...