Predictive Maintenance

Key players are aPriori, Autodesk Inc., Oracle, Ansys, Braincube, Productoo, Seebo, Wizata, Cisco Systems, Dassault Systems, Siemens AG, and Amazon.

New Nokia, Ernst & Young (EY) study finds metaverse potential for predictive maintenance, autonomous operations, and virtual prototyping and testing applications.

The Aras platform’s low-code approach, digital twin capabilities, and ability to serve as a data management backbone was central to developing OnWatch Scout.

New solution features connected, cross-functional capabilities.

igus®, has introduced the i.Sense EC.B – a smart condition monitoring system for breakage detection on e-chain® cable carriers over 35 meters. In the case of a break, the i.Sense EC.B system will immediately trigger a signal making...

Factors such as increased spending on marketing activities, changing landscape of customer intelligence, and proliferation of customer channels are expected to drive adoption of predictive maintenance

Predictive maintenance can provide measurable benefits for manufacturers who apply the technology on their production lines.

This commentary gets practical about one set of AI technologies that’s just about ready for broader adoption: machine learning (ML).

Considering the aggressive time to market required for industrial products and services, it is crucial to identify the cause of potential failures before they occur.

Predictive maintenance, one of the most widely hyped Internet of Things (IoT) use cases, is getting a boost thanks to a testbed conducted by the IIC and its partners, which aims to advance availability and uptime for high-volume manufacturing.