Managing remote equipment, their health, remaining life is a key challenge for engineering companies. This solution enables organizations to better manage the asset health against their failure events. Predict when a remote device is expected to fail so you can carry out optimized predictive maintenance instead of non-optimized planned maintenance before the device fails. This solution accelerator uses machine learning algorithms to predict failures from device telemetry.
You can use the predictive maintenance dashboard to view predictive maintenance analytics:
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