AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

Water demand forecasting is an indispensable element in the sustainable management of water resources, as growing populations and climatic uncertainties intensify the pressure on water supplies.

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

This paper develops G3MOD, a semi-structural gap-trend model designed for frequent external sector forecasts crucial in macroeconomic forecasting. Focused on the G3 economies (US, Euro Area, and China ...

Doohee Chung, CEO of IMPACTIVE AI, pitching at the ‘Global Media Meetup’ Doohee Chung, CEO of IMPACTIVE AI, answering questions from Helena Stone, Editor-in-Chief of Geekspin Helena Stone, ...

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 ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Bed capacity management is of critical importance to health systems, impacting patient care and safety, operational efficiency, system sustainability and financial performance. Efforts to improve and ...