Machine Learning Use Case: Real-Time Support for Engineered Systems

When customers have a fully supported engineered system, they know they have a single point of contact for when things go wrong. So when an Oracle banking customer experienced motherboard failures in engineered systems located in business-critical data centers, they knew who to turn to. Conventional telemetry monitoring for IT systems yielded no clues.

And frustratingly, when these multi-CPU motherboards costing $100,000 each were swapped and brought to service centers for extensive testing, none of the failure triggers could be reproduced.

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