How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

A new study shows why traditional valuation ratios like price/dividend and CAPE fail to predict stock returns—and how ...

The mainstream adoption of machine learning in investment management has created a widening gap between predictive ...

Telecom networks generate an enormous amount of operational data, and the people running them have spent years trying to make sense of it at scale. A modern 5G network exposes dozens of metrics per ...

Democratic senator Elizabeth Warren and Republican senator Josh Hawley are urging the US’s central energy information agency to provide better information on how much electricity data centers actually ...

New research reveals that ‘foundation models’ trained on vast, general time‑series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

Roughly one in five student interactions with generative artificial intelligence on school technology involved cheating, self-harm, bullying, and other problematic behaviors, according to data ...

Starlink says it may also share personal data with partners to help it "develop AI-enabled tools that improve your customer experience.” Joe Supan is a senior writer for CNET covering home technology, ...