The Sachsenmilch Leppersdorf dairy, near Dresden in Germany, installed Siemens’ Senseye Predictive Maintenance solution to reduce downtime by predicting failures before they happen (Image: Siemens) ...

Walk into almost any industrial facility that has invested in a predictive maintenance program and ask how it’s going. The ...

With 54% of fleet leaders ranking asset maintenance as their top 2026 challenge, predictive maintenance and AI are taking ...

Plant Services case studies consistently rank among our most-read content because they show how maintenance and reliability strategies perform under real operating conditions. This Top Five list draws ...

Driven by increased adoption of Industry 4.0 technologies, specifically AI, manufacturers still rank predictive maintenance use cases at the top of their priority lists. Yet despite strong interest ...

Predictive maintenance reduces airline costs and delays, improving aircraft availability and operational efficiency. Digital twins provide a virtual view of aircraft health, enabling remote monitoring ...

Knight-Swift Transportation has rapidly adopted AI across fleet and maintenance operations, using predictive tools to prevent up to 15 tows a month and streamline breakdown response and driver ...

Equipment malfunctions are costly and disruptive. When equipment goes down and work stops, the hourly cost to a business ranges from $36,000 in fast-moving consumer goods to $2.3 million in the ...

Expert insights reveal critical strategies for coordinating predictive maintenance with safety instrumented systems while maintaining compliance and preventing dangerous operational conflicts. Safety ...

AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design one that works. Industrial facilities typically lose between 5% and 20% of ...

Stewart Brand’s “Maintenance: Of Everything, Part One” (Stripe, 308 pages, $40) begins with a drama that belies the book’s seemingly humdrum topic. The author recounts the stories of three contestants ...