Wiland adds Neural Net modeling to enhance predictive analytics, uncover new audiences, and drive stronger marketing performance.

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 ...

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 ...

Erika Glenn, Division Head of Sales, Care Management, CVS Health, addressed some of the latest innovations in predictive modeling and data analytics being leveraged by her organization in the ...

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, ...

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If you had conversations about media mix modeling or predictive analytics before, those conversations probably didn’t last very long. In pre-pandemic days, the promise of multi-touch attribution (MTA) ...

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 ...

Although recent advances in computational capacity and machine learning have led to well-publicized breakthroughs in clinical risk stratification, these advances are noticeably absent in oncology. A ...

Businesses have been clamoring for ways to incorporate data analytics into their operations for years. The rise of digital products has made it easier than ever to collect information about customers ...