Large language models can act as predictive models. Here's an example for misinformation detection—and an introduction to savings curves. Not all business problems are best addressed with generative ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...

From Reaction to Anticipation: Predictive analytics empower security teams to transition from reactive responses to proactive strategies by leveraging data to anticipate risks before they escalate.

Non-communicable diseases (NCDs) such as cardiovascular diseases, diabetes, cancer, and chronic respiratory conditions are the leading cause of death globally, accounting for 74% of all deaths ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots to scalable, physics-based intelligence across ...

Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...