Predictive maintenance uses condition evidence such as sensor measurements to warn about developing equipment faults early enough for maintenance to plan an intervention before functional failure.
Cloud strategies often focus on scalability, cost optimization, and centralized services, but many organizations overlook one critical factor: latency. In this episode of M365 FM, Mirko Peters explores why network latency can become a major barrier to…
A correct bearing warning is useless if it arrives after the safe maintenance window has passed. This episode walks manufacturing, OT and data teams through everything predictive maintenance on Azure needs before the model, from sensors and edge gateways to…
A correct bearing warning is useless if it arrives after the safe maintenance window has passed. This episode walks manufacturing, OT and data teams through everything predictive maintenance on Azure needs before the model, from sensors and edge gateways to…
Separating Plan from Actuals in Manufacturing Data Models · Mirko Peters Discover why separating planned routing from actual execution data is critical for accurate AI diagnostics and root cause analysis in modern manufacturing plants.
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