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 ...

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 ...

Eaton motor analytics helps predict motor and pump issues up to 30% earlier and 25% more accurately than currently available ...

Predictive Analytics - sometimes referred to as Predictive Data Mining - is a branch of Business Intelligence that attempts to use historical data to make predictions about future events. At its ...

The primary objective of predictive analytics is to predict future events or outcomes from their baseline characteristics using appropriate models. For instance, predicting high-risk and low-risk ...

TIBCO Software Inc. has announced two new products, TIBCO Spotfire Miner 8.1 and TIBCO Spotfire S+ Server 8.1, that allow enterprises to incorporate and deploy predictive analytics on very large data ...

Artificial Intelligence is no longer a futuristic concept. It’s a tool that marketers rely on every day. Businesses generate ...

Creative genius?: The integration of Tableau with Einstein Discovery, designed to bring predictive modeling and machine learning to a wider audience of business users, is the latest move to integrate ...

Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...

Although recent advances in computational capacity and machine learning have led to well-publicized breakthroughs in clinical risk stratification, these advances are noticeably absent in oncology. A ...