While there are numerous success stories applying AI to predictive maintenance, for every success, there may be several ...

Predictability is one of the most valuable resources for industrial companies. It’s also one of the hardest to find right now. Global trade is unstable. Supply chains remain unreliable. Consumer ...

Algorithms analyze vibration patterns, temperature anomalies and pressure fluctuation locally, triggering alerts before ...

As AI technology develops, manufacturers are finding uses for it on the shop floor. Per All About AI, 43% of manufacturers ...

Stop treating AI as a side project. Discover how to cut costs and improve asset utilization by embedding AI insights directly ...

In this article, MaintainX shares a collection of useful stats and insights about preventive maintenance, predictive analytics, artificial intelligence, and other trends that impact maintenance teams.

The energy sector is currently navigating a profound transformation. This shift is driven by digital innovation and an escalating need to ensure the reliability of critical assets, particularly in ...

AI turns preventive maintenance data into predictive insights, helping fleets prevent breakdowns and extend truck life. Smart PMIs let fleets forecast part failures, reduce downtime, and optimize ...

The benefit comes from combining cycle counts and process monitoring data from the historian database instead of relying on hours-based scheduling methods. Manufacturers should move beyond hours-based ...

AI tools are arriving through the back door of enterprise software - no contract, no due diligence, no TPRM trigger - and ...

John Clemons is a Solution Consultant for Rockwell Automation. He’s been working in the field of Manufacturing Technology for over 30 years. This year, we’re taking a close look at the use of ...