Moving from reactive to predictive maintenance requires the right tools for use by subject matter experts. As the power industry continues to advance from preventative to predictive maintenance, one ...

IBM acquired predictive analytics vendor SPSS in October 2009. Erick Brethenoux, predictive analytics strategist for SPSS, an IBM Company, talks about the growing importance of the technology in ...

Statistical learning, the science of identifying patterns in data and using data to build models and make predictions, is receiving growing attention across industries. With the data science platform ...

A visualization tool and predictive analytics package targeting law enforcement and public safety applications is said to be the first tool of its kind to combine real-time social media and Internet ...

SAP is launching the application edition of the SAP Predictive Analytics software to help enterprises create and manage predictive machine learning models for applications that run business activities ...

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

Network analytics — and increasingly, the more advanced approach of predictive network analytics — delivers more insights so businesses can get ahead of network problems. As the coronavirus pandemic ...

Workday on Tuesday launched Insight Applications, a suite that provides analytics via machine learning algorithms and data science. The human capital management and financials software company is the ...

The belief that predictive analytics—data mining, statistical modeling, and machine learning—can accurately forecast trends, behavior, and future outcomes based on historical data is a fallacy. Talk ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

BOSTON--(BUSINESS WIRE)--Rithmm, a cutting-edge, predictive-analytics sports betting application that empowers sports bettors to enhance performance through customized personal information algorithms, ...