Applied Machine Learning to Critical Assets

When it comes to industries that rely heavily upon expensive assets and infrastructures to enable operations, there is no question that keeping assets functioning in top performance is critical to the bottom-line. For many years organizations have included planned-maintenance activities, typically recommended by manufacturers of equipment and based on some usage parameters (hours in service, …

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