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, ...

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

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 ...

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: ...

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 ...

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 ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a safeguard and a growth catalyst.

There is a vast array of predictive analytics tools, but not all are created equal. Software differs widely in terms of capability and usability — not all solutions can address all types of advanced ...

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...

The concept of predictive analytics is not new. Predictive analytics has been around for well over a decade. Despite its age, it has mainly been the purview of large organizations for most of its ...