This article is the sixth and last in an editorial series that reviews how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter ...

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 ...

“Predictive modeling uses regression analysis to project forward and try to predict future health events,” says Dr. Orr. When using predictive modeling, “the quality of data and the size of the data ...

Approximately half of the adults in the United States (116 million) have high blood pressure, or hypertension, with 91.7 million needing prescription medication in addition to lifestyle changes. As of ...

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 ...

Can anyone remember their life before artificial intelligence (AI)? Many struggle with that, but what I do remember is how things worked in the business sector, especially in education.

Hospitals nationwide have been utilizing predictive analytics tools to project the location and severity of future COVID-19 outbreaks. Though COVID-19 forecasting tools vary on the data they use to ...

Getting through a predictive analytics project typically requires the resources of business analysts, statisticians and database experts. For small and midsize organizations that don’t have the skills ...