Predict Maintenance
We helped a leading surgical device maker use data collected from their devices to predict when a specific unit needed maintenance – 7 days before it would fail. Our model is over 95% accurate which means our client can not only prevent outages, but repair devices before they need service and control timing to optimize field service costs.
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