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 ...

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 ...

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

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can transform operations by preventing equipment failures, ...

Faster computers and smarter algorithms mean the ability to crunch more data than ever. Ron Bisio, senior vice president of Trimble’s Transportation sector, recently discussed predictive maintenance ...

In the increasingly complex and high-stakes world of healthcare IT, Sidhartha Velishala is emerging as a transformative force. A seasoned DevOps and Cloud Automation Specialist, Velishala brings over ...

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 ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Your businesses could be leveraging predictive analytics and machine learning to help provide a more personalized user experience. By gathering data on how users interact with your site—such as which ...