Leaders at any business that depends on complex machinery or devices know that regular maintenance is essential to smooth and efficient operations. Without timely maintenance, machinery breaks down, ...

Today’s consumers live in a data-driven world where they can easily access information about their homes, cars, banking and much more right from their mobile devices. Similar technologies are becoming ...

Requiring no additional hardware to integrate with a local network, nor significant time and expertise to set up, the system is “plug & play,” and allows users to go from setup to monitoring live data ...

The dominant failure mode of industrial predictive maintenance is not model inaccuracy. It is a broken handoff between ...

Italy’s primary train operator, Trenitalia, is combining the internet of things (IoT), analytics and in-memory computing in a project to make maintenance of its trains more efficient and effective.

How sensors are driving predictive maintenance. How maintenance is traditionally performed and the importance of moving to a data-driven approach. An overview of how sensors are the eyes and ears of ...