In today’s hyper-connected world, businesses are becoming increasingly vulnerable to cyber threats. With the rising ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

Hospitals’ AI adoption has exploded during the past decade, with predictive analytics being one of the most prevalent use cases. Predictive algorithms have become widely used due to their ability to ...

As the Army prepares for large-scale combat operations (LSCO), the importance of effective logistics has never been greater. In contested environments, where supply chains are vulnerable to disruption ...

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

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...

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

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.