Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

This ebook, based on the latest ZDNet / TechRepublic special feature, explores how you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash. Read ...

Gienna Shaw is an independent journalist with more than 25 years of experience as a writer and editor. She specializes in business, technology and healthcare. As the federal government makes headway ...

More data and continuous training means AI will only become better at predicting legal outcomes. But predictive analytics' accuracy will likely never reach a point where lawyers are turning the keys ...

Predictive analytics–driven disease management outperforms standard of care among patients with chronic heart failure. Objectives: To evaluate the effect of a predictive algorithm–driven disease ...

One of the key concepts of the acclaimed science fiction book series Foundation, first published in the 1940s by Isaac Asimov, is the ability to predict human behavior. It imagined a new field, dubbed ...

The belief that predictive analytics—data mining, statistical modeling, and machine learning—can accurately forecast trends, behavior, and future outcomes based on historical data is a fallacy. Talk ...

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 ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Robert Kelly is managing director of XTS ...