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 ...

Any business operates amid uncertainty. You never know for sure what your customers, suppliers and competitors will do. Yet you need to make decisions today. What if there was a way to predict some ...

In this special guest feature, Jane Hendricks, WW Portfolio Marketing Lead at IBM Predictive Analytics, describes a methodology for realizing business value from predictive analytics: start by ...

Today, businesses are collecting staggering volumes of data about new and existing customers and marketplace expectations through social listening, real-time apps, cloud, and product performance data, ...

Michael Johnson, a decision support data scientist at Bend, Oregon-based St. Charles Health System, has only worked in healthcare for a couple years. Before that, he'd spent most of his career doing ...

Can predictive analytics support labor cost forecasting by improving staffing and aligning resources with patient demand in health systems?

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: ...

NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--Pecan AI, the leader in AI-based predictive analytics for BI analysts and business teams, today announced that it has opened its predictive analytics ...

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, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. For decades, predictive analytics was a capability largely reserved for companies with deep ...