Most businesses today collect a huge amount of data, but many struggle to turn that data into useful insights. This is where predictive analytics becomes valuab ...

Interested in maximizing productivity? Look no further than predictive maintenance. Predictive maintenance applies failure prediction techniques to detect equipment issues that could cause unscheduled ...

For decades, equipment failure was treated as unavoidable. Machines ran, parts wore out or something broke, and maintenance teams swung into action to fix ...

Google offers a framework for designing your own Industrial IoT predictive maintenance solution to accurately determine when to replace manufacturing equipment. Entropy sucks. But industrial ...

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

Daniel Penn Associates recently asked members of LinkedIn’s Association of Asset Management Professionals Group “What is the maintenance strategy that you use the most with your organization?” The ...

Predictive maintenance needs to be more than mere prediction to be effective—it needs to link to specific MRO actions. Credit: Lufthansa Technik Big data, the Internet of Things, digital twinning and ...

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 ...

Saipem has introduced an artificial intelligence (AI)-based predictive maintenance system onboard its ultra-deepwater drillship Saipem ...

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 ...