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 ...

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 ...

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 ...

Leveraging advances in automation and predictive analytics is essential to stay competitive in today’s economy. The rise of automation began many years ago, and the adoption of robotic manufacturing ...

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, ...

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) ...

The algorithms often used by colleges to predict students’ likelihood of graduating can produce less accurate results for Black and Hispanic students compared to their peers, a new study says.

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