Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

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, ...

What’s the future of healthcare? Ask a health executive and there’s a good chance they’ll say predictive analytics. As the engine that turns the raw materials of “big data” into actual insights that ...

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 ...

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: ...

CEO of InfluxData, a leading time series platform, board member for One Heart Worldwide and board advisor for Lucidworks and The Fabric. In the current global business landscape, data-driven ...

Predictive analytics–driven disease management outperforms standard of care among patients with chronic heart failure. Objectives: To evaluate the effect of a predictive algorithm–driven disease ...

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 recent announcement from Microsoft that they have now integrated Python into it’s Excel spreadsheet software has opened up a wealth of new applications for data analytics, automation and number ...

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 ...