Patents by Inventor Patrick G. O'Sullivan

Patrick G. O'Sullivan 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).

  • Runtime control of automation accuracy using adjustable thresholds
    Patent number: 11468192
    Abstract: A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.
    Type: Grant
    Filed: March 25, 2020
    Date of Patent: October 11, 2022
    Inventors: Pedro Barbas, Austin Clifford, Konrad Emanowicz, Patrick G. O'Sullivan
  • Identification of pseudonymized data within data sources
    Patent number: 10747903
    Abstract: A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.
    Type: Grant
    Filed: April 25, 2019
    Date of Patent: August 18, 2020
    Assignee: International Business Machines Corporation
    Inventors: Pedro Barbas, Austin Clifford, Konrad Emanowicz, Patrick G. O'Sullivan
  • RUNTIME CONTROL OF AUTOMATION ACCURACY USING ADJUSTABLE THRESHOLDS
    Publication number: 20200226289
    Abstract: A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.
    Type: Application
    Filed: March 25, 2020
    Publication date: July 16, 2020
    Inventors: Pedro Barbas, Austin Clifford, Konrad Emanowicz, Patrick G. O'Sullivan
  • Identification of pseudonymized data within data sources
    Patent number: 10657287
    Abstract: A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.
    Type: Grant
    Filed: November 1, 2017
    Date of Patent: May 19, 2020
    Assignee: International Business Machines Corporation
    Inventors: Pedro Barbas, Austin Clifford, Konrad Emanowicz, Patrick G. O'Sullivan
  • RUNTIME CONTROL OF AUTOMATION ACCURACY USING ADJUSTABLE THRESHOLDS
    Publication number: 20190251292
    Abstract: A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.
    Type: Application
    Filed: April 25, 2019
    Publication date: August 15, 2019
    Inventors: Pedro Barbas, Austin Clifford, Konrad Emanowicz, Patrick G. O'Sullivan
  • RUNTIME CONTROL OF AUTOMATION ACCURACY USING ADJUSTABLE THRESHOLDS
    Publication number: 20190130132
    Abstract: A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.
    Type: Application
    Filed: November 1, 2017
    Publication date: May 2, 2019
    Inventors: Pedro Barbas, Austin Clifford, Konrad Emanowicz, Patrick G. O'Sullivan