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 ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across industries.Different modeling types solve differe ...

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, ...

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: ...

So what's next? What's next is what's next--the ability to forecast where events are heading, then make informed decisions based on that assessment. Predictive analytics, the scientific name for using ...

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, ...

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