Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

Professor Ed Malthouse talks about his approach to teaching this vital skill as he takes over as the new instructor of the MSiA program’s introductory class. The best way to understand the importance ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. Image: ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

A major study validates the GOLDEN model as an accurate tool for predicting HBsAg loss in interferon-treated chronic ...

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 ...

The recent announcement from Microsoft that they have now integrated Python into it’s Excel spreadsheet software has opened up a wealth of new applications for data analytics, automation and number ...

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 ...

Zohar Bronfman is the cofounder and CEO of Pecan AI, a predictive analytics platform making advanced AI accessible to business teams. For decades, predictive analytics was a capability largely ...