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

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

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

AI’s appeal lies in its ability to handle high-impact, low-probability events. Extreme weather disasters fall squarely into ...

What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...

Learn how to find and make the best use of valuable insights buried in your company’s databases.

AI sits at the top of CEO agendas, even as governance, alignment, and execution continue to lag. The narrative of widespread ...

Pandya Kartikkumar Ashokbhai is a computer science researcher based in Arizona, United States, working at the intersection of ...

The future of banking will see core bank systems rebuilt around artificial intelligence tools that inform decisions about ...