Patents by Inventor Matthew Lawrence Watkins

Matthew Lawrence Watkins has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Failure prediction in a computing system based on machine learning applied to alert data
    Patent number: 11829233
    Abstract: An embodiment may involve persistent storage containing a machine learning trainer application configured to apply one or more learning algorithms. One or more processors may be configured to: obtain alert data from one or more computing systems; generate training vectors from the alert data, wherein elements within each of the training vectors include: results of a set of statistics applied to the alert data for a particular computing system of the one or more computing systems, and an indication of whether the particular computing system is expected to fail given its alert data; train, using the machine learning trainer application and the training vectors, a machine learning model, wherein the machine learning model is configured to predict failure of a further computing system based on operational alert data obtained from the further computing system; and deploy the machine learning model for production use.
    Type: Grant
    Filed: January 14, 2022
    Date of Patent: November 28, 2023
    Assignee: ServiceNow, Inc.
    Inventors: Matthew Lawrence Watkins, Dinesh Kumar Kishorkumar Surapaneni, Baskar Jayaraman
  • Failure Prediction in a Computing System Based on Machine Learning Applied to Alert Data
    Publication number: 20230229542
    Abstract: An embodiment may involve persistent storage containing a machine learning trainer application configured to apply one or more learning algorithms. One or more processors may be configured to: obtain alert data from one or more computing systems; generate training vectors from the alert data, wherein elements within each of the training vectors include: results of a set of statistics applied to the alert data for a particular computing system of the one or more computing systems, and an indication of whether the particular computing system is expected to fail given its alert data; train, using the machine learning trainer application and the training vectors, a machine learning model, wherein the machine learning model is configured to predict failure of a further computing system based on operational alert data obtained from the further computing system; and deploy the machine learning model for production use.
    Type: Application
    Filed: January 14, 2022
    Publication date: July 20, 2023
    Inventors: Matthew Lawrence Watkins, Dinesh Kumar Kishorkumar Surapaneni, Baskar Jayaraman