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 ...

Recent advances in forecasting demand within emergency departments (EDs) have been bolstered by the integration of machine learning and time series analytical techniques. The objective of these ...

As businesses become increasingly reliant on data to make informed decisions, the importance of accurate and precise analytical business intelligence cannot be overstated. However, to truly tap into ...

Sponsored by Infor Join experts from AWS and Infor as they explore the top three technology trends transforming the food & ...

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

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

One of the unwritten axioms of data scientists specializing in machine learning methodologies is that they all try their hand at predicting the stock market. Some of the best attempts have turned a ...

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 ...