Success in operational readiness is all about the data collection. When predictive maintenance systems are integrated with ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

Predictive maintenance (PdM) is transforming power plant operations by leveraging artificial intelligence (AI), data analytics, and automation to prevent costly equipment failures. Learn about ...

AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design ...

ANN ARBOR, Mich., Dec. 19, 2025 (GLOBE NEWSWIRE) -- The National Center for Manufacturing Sciences (NCMS) announces the publication of a new Technology Brief that demonstrates how portability in ...

It’s nearly impossible to attend an industry trade show or conference without hearing the terms “artificial intelligence” or “data-driven.” While they might sound like computer science terms, trucking ...

Food manufacturing is one of the most regulated industries in the United States and worldwide. The ultimate reason for all this regulatory oversight is obvious: to prevent the contamination of food.

Automakers use AI-driven predictive maintenance and computer vision control to achieve a 35-50% reduction in unscheduled ...

Success in Formula One isn’t just about the driver—it’s also about the performance of the technical team. Not long ago, teams could only learn what was happening under the hood during a pit stop.

If it ain’t broke, the saying goes, don’t fix it. While that approach might work just fine for some situations, today’s modern manufacturing operation isn’t one of them. In the connected factories ...

Intelligent predictive maintenance platforms exemplify this approach by integrating telemetry data and machine learning algorithms to predict the serviceable lifetime of critical components. “Imagine ...

How can food manufacturers best address costly equipment contamination and the downtime that can result? One answer is to ...