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, ...

Michael Johnson, a decision support data scientist at Bend, Oregon-based St. Charles Health System, has only worked in healthcare for a couple years. Before that, he'd spent most of his career doing ...

From predictive analytics to hyper-realistic simulations, artificial intelligence is becoming a core ally in firefighting and emergency services. These tools are enhancing training, improving ...

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 ...

The world is digitizing with increasing speed, and global interconnectivity is rising right along with it, generating abundant data. This data can facilitate more intelligent business decisions and ...

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.

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 ...

Recent advances in AI-powered sports analytics are transforming athlete performance prediction and training. From machine learning models integrating biometric and psychological data to intelligent ...

In today’s fast-paced industrial landscape, the effective use of data has become a game-changer for facility management. Data-driven insights are not just about improving efficiency. They’re pivotal ...

The construction industry has always faced one persistent challenge—cost overruns. Budgeting for planned projects shows that ...

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 ...