Healthcare analytics leader Sachin Girdhar outlines why health systems must transition from predictive AI dashboards to ...

Yale researchers have found that the predictive algorithms used to forecast treatment efficacy and guide personalized medicine efforts have limited effectiveness when generalized to patient cohorts ...

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 ...

There's a growing trend among businesses to use predictive analytics algorithms to boost their bottom line. Compared to descriptive analytics, which provides a perspective on what has already happened ...

As AI becomes more accessible, higher education is increasingly turning to prediction algorithms to inform decisions and target support services. Prediction algorithms can underestimate success for ...

Sam's Club Connect introduced "Predictive Precision Targeting" capabilities on Thursday, expanding its measurement offering.

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — but from algorithms. Dr. Robert Kissell. Kissel is the creator of ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...