Patents by Inventor Jon Stofer

Jon Stofer 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).

  • Systems and methods for using machine learning to manage data
    Patent number: 11977527
    Abstract: In certain embodiments, machine learning and lineage data may be used to manage data. In some embodiments, a computing system may use lineage data to identify two datasets that may be related. The computing system may determine that a user has access to a derivative dataset but does not have access to an original dataset that was used to create the derivative dataset. In response, the computing system may use a machine learning model to generate a similarity score indicating a level of similarity between the original dataset and the derivative dataset. If the similarity score satisfies a threshold score, the computing system may modify access rights of the user so that the user is unable to access a portion of the data in the derivative dataset.
    Type: Grant
    Filed: January 3, 2022
    Date of Patent: May 7, 2024
    Assignee: Capital One Services, LLC
    Inventors: William Ye, Jon Stofer, Thomas J. O'Connor, Jose Moreno
  • SYSTEMS AND METHODS FOR USING MACHINE LEARNING TO MANAGE DATA
    Publication number: 20230214368
    Abstract: In certain embodiments, machine learning and lineage data may be used to manage data. In some embodiments, a computing system may use lineage data to identify two datasets that may be related. The computing system may determine that a user has access to a derivative dataset but does not have access to an original dataset that was used to create the derivative dataset. In response, the computing system may use a machine learning model to generate a similarity score indicating a level of similarity between the original dataset and the derivative dataset. If the similarity score satisfies a threshold score, the computing system may modify access rights of the user so that the user is unable to access a portion of the data in the derivative dataset.
    Type: Application
    Filed: January 3, 2022
    Publication date: July 6, 2023
    Applicant: Capital One Services, LLC
    Inventors: William YE, Jon Stofer, Thomas J. O'Connor, Jose Moreno
  • SYSTEMS AND METHODS FOR USING MACHINE LEARNING TO MANAGE DATA
    Publication number: 20230214515
    Abstract: In certain embodiments, machine learning and lineage data may be used to manage data. In some embodiments, a computing system may use lineage data to identify two datasets that may be related. The computing system may determine that a user has access to a derivative dataset but does not have access to an original dataset that was used to create the derivative dataset. In response, the computing system may use a machine learning model to generate a similarity score indicating a level of similarity between the original dataset and the derivative dataset. If the similarity score satisfies a threshold score, the computing system may modify access rights of the user so that the user is unable to access a portion of the data in the derivative dataset.
    Type: Application
    Filed: January 3, 2022
    Publication date: July 6, 2023
    Applicant: Capital One Services, LLC
    Inventors: William Ye, Jon Stofer, Thomas J. O'Connor, Jose Moreno