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, ...

Predictive maintenance is emerging as a necessity for aerospace and defense (A&D) systems. By leveraging advanced analytics to monitor equipment health and anticipate failures, operators can ...

From Reaction to Anticipation: Predictive analytics empower security teams to transition from reactive responses to proactive strategies by leveraging data to anticipate risks before they escalate.

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

A trucking company’s success and reputation depend directly on its drivers’ safety performance, but it’s not so easy to determine which drivers are most likely to be involved in a crash or incur a ...

You don’t need to be a certified data scientist to see that data is playing a critical role in transforming businesses across every industry and niche in 2017. But beneath all this growth you can ...

This is the first article of our three-part series on the state and development of predictive analytics in the legal market. Our second article will look at why predictive analytics' growing accuracy ...

The most sophisticated analytics programs in the world won't matter for much if health systems staffs don't use them, or don't use them well. Technology is important, but integrating it into clinical ...

UPMC is on the forefront of using big data to improve patient outcomes. The system started collecting patient data more than 30 years ago and now has a robust platform to support predictive analytics ...

By merging telemetry data with machine learning, the advanced software platform detects issues early, reducing downtime and shifting robot service further from reactive to preventative.