It was Kenneth Calhoun who first educated me on the powerful potential predictive maintenance could have for fleet maintenance operations and vehicle uptime. This was a decade ago. Calhoun and I sat ...

Vehicle Predictive Maintenance Market was valued at US$ 3 Bn in 2025 and is projected to reach US$ 13.7 Bn by 2036, growing at a CAGR of 14.7%, driven by AI diagnostics and IoT-based vehicle ...

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

It’s every production line manager’s nightmare—some machinery breaks down, stopping production on the factory floor. In a fab, if just one piece of semiconductor manufacturing equipment goes down and ...

Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.

What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...

When it comes to big data and Internet of Things (IoT) initiatives most companies are still in the design or early adoption phases which make it hard to get a solid return on investment (ROI) figures.

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

Predictive maintenance is the analysis of the condition and performance of critical machines in a plant to reduce instances of machine failure. In the past, highly experienced plant operators may have ...

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...