Predictive maintenance and artificial intelligence are rapidly reshaping how American businesses keep equipment running, but ...

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

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

The maritime industry stands at a digital crossroads. Over the past decade, the conversation has evolved from seeing shipping ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

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

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.

As city grids evolve with renewable resources and IoT integration, digital twins offer a scalable solution for proactive ...

Optimizing the performance and availability of existing legacy aircraft as well as newer, technologically advanced assets is an increasingly complex and costly challenge. In this white paper, you will ...

African carriers are increasingly integrating OEM-driven digital maintenance platforms as the shift to digital in aircraft maintenance has moved from aspiration to reality. However, the situation on ...

Members pictured from left to right. The concept of predictive maintenance is familiar to anyone who has owned a car—you regularly have the vehicle inspected, change fluids, replace tires, change ...