“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 ...

Accounting combines three things many people enjoy: problem-solving, money, and working with people. And thanks to the use of data analytics in accounting, these parts of the job are more exciting, ...

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 ...

Data analytics help investors analyze investment data for better decision-making. Descriptive, diagnostic, predictive, and prescriptive analytics offer varied insights. Techniques like regression and ...

This article explores how payers can enhance their medication adherence initiatives to reduce costs and improve member health outcomes by leveraging predictive analytics through machine learning. This ...

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.

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. It's easy to see why predictive analytics has such a powerful pull ...