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 ...

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 ...

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, ...

Major release delivers seamless Ignition SCADA, enterprise-grade security, advanced ML algorithms, and private cloud ...

Analyzing data and model constraints The industry standard for insurance analysis, modeling and product development centers ...

Editor’s Note: I have been saying for some time now that the ultimate goal of President Trump’s tariffs is to level the playing field and create a massive wave of onshoring. As the Wall Street Journal ...

Most enterprises are trying to layer AI on top of fragmented, inconsistent, poorly governed data environments. In that context, even the most sophisticated model cannot deliver stable business value.

Tension: We crave personalization while remaining unaware that algorithms are quietly shaping our future preferences and ...