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

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 ...

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with machine-learning models, can reliably estimate Cambodia’s GDP growth in near ...

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

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

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

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Learn how to leverage AI to improve processes, power growth and make stronger connections with your customers.

Bidgely solidified its position as the premier provider of machine learning (ML) and artificial intelligence (AI) solutions for the utility industry in 2025, driven by the evolution of its journey ...

Drawing on research, ESMT’s Oliver Binz shows why breaking profitability into its underlying drivers — rather than treating ...

NextNRG, Inc. (NASDAQ:NXXT), a pioneer in AI-driven energy innovation transforming how energy is produced, managed, and delivered, today announced that members of its engineering team have published ...

By combining machine learning, robotics and analytics, farmers are gaining financial benefits by improving crop yields and ...