Patents by Inventor Brad Ford

Brad Ford 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).

  • Predictive Maintenance
    Publication number: 20220391854
    Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.
    Type: Application
    Filed: August 15, 2022
    Publication date: December 8, 2022
    Inventors: Anoop Viswanath, Abhay Dabholkar, Brad Ford, Mengling Hettinger, Kevin Reese, Carl Sorrells, Christopher Tsai, Alfonso Jones
  • Predictive maintenance
    Patent number: 11449838
    Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.
    Type: Grant
    Filed: May 18, 2020
    Date of Patent: September 20, 2022
    Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
    Inventors: Anoop Viswanath, Abhay Dabholkar, Brad Ford, Mengling Hettinger, Kevin Reese, Carl Sorrells, Christopher Tsai, Alfonso Jones
  • Predictive Maintenance
    Publication number: 20200279229
    Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.
    Type: Application
    Filed: May 18, 2020
    Publication date: September 3, 2020
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Anoop Viswanath, Abhay Dabholkar, Brad Ford, Mengling Hettinger, Kevin Reese, Carl Sorrells, CHRISTOPHER TSAI, Alfonso Jones
  • Predictive maintenance
    Patent number: 10692053
    Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.
    Type: Grant
    Filed: August 29, 2018
    Date of Patent: June 23, 2020
    Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
    Inventors: Anoop Viswanath, Abhay Dabholkar, Brad Ford, Mengling Hettinger, Kevin Reese, Carl Sorrells, Christopher Tsai, Alfonso Jones
  • Predictive Maintenance
    Publication number: 20180374060
    Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.
    Type: Application
    Filed: August 29, 2018
    Publication date: December 27, 2018
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Anoop Viswanath, Abhay Dabholkar, Brad Ford, Mengling Hettinger, Kevin Reese, Carl Sorrells, CHRISTOPHER TSAI, Alfonso Jones
  • Predictive maintenance
    Patent number: 10096004
    Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.
    Type: Grant
    Filed: October 10, 2014
    Date of Patent: October 9, 2018
    Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
    Inventors: Anoop Viswanath, Abhay Dabholkar, Brad Ford, Mengling Hettinger, Kevin Reese, Carl Sorrells, Christopher Tsai, Alfonso Jones
  • Predictive Maintenance
    Publication number: 20160104123
    Abstract: Vehicular maintenance is predicted using real time telematics data and historical maintenance data. Different statistical models are used, and an intersecting set of results is generated. Environmental weather may also be used to further refine predictions.
    Type: Application
    Filed: October 10, 2014
    Publication date: April 14, 2016
    Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.
    Inventors: Anoop Viswanath, Abhay Dabholkar, Brad Ford, Mengling Hettinger, Kevin Reese, Carl Sorrells, CHRISTOPHER TSAI, Alfonso Jones