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Real-time adaptive operations performance management system using event clusters and trained models

  • US 9,811,795 B1
  • Filed: 02/27/2017
  • Issued: 11/07/2017
  • Est. Priority Date: 09/01/2016
  • Status: Active Grant
First Claim
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1. A method for managing operations for organizations over a network using one or more network computers that include one or more processors that perform actions, comprising:

  • employing a plurality of provided Operations events to perform further actions, including;

    providing, by the one or more processors, one or more event clusters that are associated with one or more Operations events;

    associating, by the one or more processors, one or more resolution metrics with the one or more event clusters;

    employing, by the one or more processors, a modeling engine to train one or more models based on the one or more Operations events, the one or more event clusters, and the one or more resolution metrics, wherein the one or more trained models are stored in a datastore; and

    retrieving, by the one or more processors, the one or more trained models, from the datastore, that are used to identify the one or more resolution metrics that are associated with one or more real-time Operations events.

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