Patents by Inventor Floyd F. Rock, JR.

Floyd F. Rock, JR. 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).

  • Data processing system with machine learning engine to provide dynamic data transmission control functions
    Patent number: 10783052
    Abstract: Systems for dynamically controlling data transmissions are provided. In some examples, a system may receive data from one or more computer systems. Data associated with an event may be extracted and the extracted data may be compared to one or more machine learning datasets to determine a likelihood that an issue associated with a computer system may occur. The system may determine whether the likelihood is greater than a predetermined threshold. If so, a modification to avoid the potential issue or mitigate an impact may be identified. The modification may be transmitted to and executed by the computer system to modify one or more aspects of the computer system. In some examples, one or more efficiency modifications may be identified based on the comparison of the extracted data to the machine learning datasets. The identified efficiency modification may be transmitted to and executed by the computer system to modify one or more aspects of the computer system.
    Type: Grant
    Filed: August 17, 2017
    Date of Patent: September 22, 2020
    Assignee: Bank of America Corporation
    Inventors: Manu Kurian, Floyd F. Rock, Jr., Saritha Prasad Vrittamani, Patrick Nicholas Lawrence, Paul Grayson Roscoe
  • Data Processing System with Machine Learning Engine to Provide Dynamic Data Transmission Control Functions
    Publication number: 20190057010
    Abstract: Systems for dynamically controlling data transmissions are provided. In some examples, a system may receive data from one or more computer systems. Data associated with an event may be extracted and the extracted data may be compared to one or more machine learning datasets to determine a likelihood that an issue associated with a computer system may occur. The system may determine whether the likelihood is greater than a predetermined threshold. If so, a modification to avoid the potential issue or mitigate an impact may be identified. The modification may be transmitted to and executed by the computer system to modify one or more aspects of the computer system. In some examples, one or more efficiency modifications may be identified based on the comparison of the extracted data to the machine learning datasets. The identified efficiency modification may be transmitted to and executed by the computer system to modify one or more aspects of the computer system.
    Type: Application
    Filed: August 17, 2017
    Publication date: February 21, 2019
    Inventors: Manu Kurian, Floyd F. Rock, JR., Saritha Prasad Vrittamani, Patrick Nicholas Lawrence, Paul Grayson Roscoe