Patents by Inventor Arthur Mcwain

Arthur Mcwain 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).

  • Patent number: 11893634
    Abstract: A method and system may detect and correct errors in consumer reporting. A secure data file such as a Metro 2® formatted file may be obtained for a consumer that includes the consumer's credit information. A consumer reporting server may generate a non-sensitive private information (non-SPI) consumer identifier that references non-SPI consumer credit information included in the Metro 2® formatted file. Then a member of the organization may access the non-SPI consumer credit information to review the non-SPI consumer credit information and detect and correct errors. Errors may be detected by training a machine learning model using a first set of non-sensitive private information (non-SPI) consumer credit information from statements including errors and a second set of non-SPI consumer credit information from statements that do not include errors. The non-SPI consumer credit information for the consumer may be applied to the model to identify errors.
    Type: Grant
    Filed: December 9, 2021
    Date of Patent: February 6, 2024
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventors: Arthur McWain, James J. Dunn
  • Publication number: 20220101428
    Abstract: A method and system may detect and correct errors in consumer reporting. A secure data file such as a Metro 2® formatted file may be obtained for a consumer that includes the consumer's credit information. A consumer reporting server may generate a non-sensitive private information (non-SPI) consumer identifier that references non-SPI consumer credit information included in the Metro 2® formatted file. Then a member of the organization may access the non-SPI consumer credit information to review the non-SPI consumer credit information and detect and correct errors. Errors may be detected by training a machine learning model using a first set of non-sensitive private information (non-SPI) consumer credit information from statements including errors and a second set of non-SPI consumer credit information from statements that do not include errors. The non-SPI consumer credit information for the consumer may be applied to the model to identify errors.
    Type: Application
    Filed: December 9, 2021
    Publication date: March 31, 2022
    Inventors: Arthur Mcwain, James J. Dunn
  • Patent number: 11232518
    Abstract: A method and system may detect and correct errors in consumer reporting. A secure data file such as a Metro 2® formatted file may be obtained for a consumer that includes the consumer's credit information. A consumer reporting server may generate a non-sensitive private information (non-SPI) consumer identifier that references non-SPI consumer credit information included in the Metro 2® formatted file. Then a member of the organization may access the non-SPI consumer credit information to review the non-SPI consumer credit information and detect and correct errors. Errors may be detected by training a machine learning model using a first set of non-sensitive private information (non-SPI) consumer credit information from statements including errors and a second set of non-SPI consumer credit information from statements that do not include errors. The non-SPI consumer credit information for the consumer may be applied to the model to identify errors.
    Type: Grant
    Filed: May 8, 2020
    Date of Patent: January 25, 2022
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventors: Arthur Mcwain, James J. Dunn