Patents by Inventor Harish Ragavan

Harish Ragavan 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).

  • Publication number: 20240119312
    Abstract: A big data analysis system may include a big data repository communicatively coupled to a data accumulation server and a predictive graph processing system. The data accumulation server may be configured to receive information from a plurality of data sources, the information corresponding to user interaction with one or more computing devices associated with an organization via a networked computing system, store the information received from the plurality of sources in the big data repository; and monitor the plurality of data sources to update the data stored in the big data repository. The predictive graph processing system is configured to receive information stored in the big data repository, transform the information received from the big data repository into a predictive graph data set based on a predictive model, and store the predictive graph data set to a visualization data repository.
    Type: Application
    Filed: December 19, 2023
    Publication date: April 11, 2024
    Inventors: Harish Ragavan, Srinivasan Shanmugam
  • Patent number: 11893501
    Abstract: A big data analysis system may include a big data repository communicatively coupled to a data accumulation server and a predictive graph processing system. The data accumulation server may be configured to receive information from a plurality of data sources, the information corresponding to user interaction with one or more computing devices associated with an organization via a networked computing system, store the information received from the plurality of sources in the big data repository; and monitor the plurality of data sources to update the data stored in the big data repository. The predictive graph processing system is configured to receive information stored in the big data repository, transform the information received from the big data repository into a predictive graph data set based on a predictive model, and store the predictive graph data set to a visualization data repository.
    Type: Grant
    Filed: September 26, 2022
    Date of Patent: February 6, 2024
    Assignee: Bank of America Corporation
    Inventors: Harish Ragavan, Srinivasan Shanmugam
  • Publication number: 20230007994
    Abstract: A big data analysis system may include a big data repository communicatively coupled to a data accumulation server and a predictive graph processing system. The data accumulation server may be configured to receive information from a plurality of data sources, the information corresponding to user interaction with one or more computing devices associated with an organization via a networked computing system, store the information received from the plurality of sources in the big data repository; and monitor the plurality of data sources to update the data stored in the big data repository. The predictive graph processing system is configured to receive information stored in the big data repository, transform the information received from the big data repository into a predictive graph data set based on a predictive model, and store the predictive graph data set to a visualization data repository.
    Type: Application
    Filed: September 26, 2022
    Publication date: January 12, 2023
    Inventors: Harish Ragavan, Srinivasan Shanmugam
  • Patent number: 11526771
    Abstract: A big data analysis system may include a big data repository communicatively coupled to a data accumulation server and a predictive graph processing system. The data accumulation server may be configured to receive information from a plurality of data sources, the information corresponding to user interaction with one or more computing devices associated with an organization via a networked computing system, store the information received from the plurality of sources in the big data repository; and monitor the plurality of data sources to update the data stored in the big data repository. The predictive graph processing system is configured to receive information stored in the big data repository, transform the information received from the big data repository into a predictive graph data set based on a predictive model, and store the predictive graph data set to a visualization data repository.
    Type: Grant
    Filed: July 20, 2020
    Date of Patent: December 13, 2022
    Assignee: Bank of America Corporation
    Inventors: Harish Ragavan, Srinivasan Shanmugam
  • Publication number: 20200349452
    Abstract: A big data analysis system may include a big data repository communicatively coupled to a data accumulation server and a predictive graph processing system. The data accumulation server may be configured to receive information from a plurality of data sources, the information corresponding to user interaction with one or more computing devices associated with an organization via a networked computing system, store the information received from the plurality of sources in the big data repository; and monitor the plurality of data sources to update the data stored in the big data repository. The predictive graph processing system is configured to receive information stored in the big data repository, transform the information received from the big data repository into a predictive graph data set based on a predictive model, and store the predictive graph data set to a visualization data repository.
    Type: Application
    Filed: July 20, 2020
    Publication date: November 5, 2020
    Inventors: Harish Ragavan, Srinivasan Shanmugam
  • Patent number: 10754867
    Abstract: A big data analysis system may include a big data repository communicatively coupled to a data accumulation server and a predictive graph processing system. The data accumulation server may be configured to receive information from a plurality of data sources, the information corresponding to user interaction with one or more computing devices associated with an organization via a networked computing system, store the information received from the plurality of sources in the big data repository; and monitor the plurality of data sources to update the data stored in the big data repository. The predictive graph processing system is configured to receive information stored in the big data repository, transform the information received from the big data repository into a predictive graph data set based on a predictive model, and store the predictive graph data set to a visualization data repository.
    Type: Grant
    Filed: April 8, 2016
    Date of Patent: August 25, 2020
    Assignee: Bank of America Corporation
    Inventors: Harish Ragavan, Srinivasan Shanmugam
  • Publication number: 20170293666
    Abstract: A big data analysis system may include a big data repository communicatively coupled to a data accumulation server and a predictive graph processing system. The data accumulation server may be configured to receive information from a plurality of data sources, the information corresponding to user interaction with one or more computing devices associated with an organization via a networked computing system, store the information received from the plurality of sources in the big data repository; and monitor the plurality of data sources to update the data stored in the big data repository. The predictive graph processing system is configured to receive information stored in the big data repository, transform the information received from the big data repository into a predictive graph data set based on a predictive model, and store the predictive graph data set to a visualization data repository.
    Type: Application
    Filed: April 8, 2016
    Publication date: October 12, 2017
    Inventors: Harish Ragavan, Srinivasan Shanmugam
  • Patent number: 6035281
    Abstract: A system and method for billing one or more participating parties for client access to the internet is disclosed including the steps of identifying at least one of the one or more participating parties as being responsible for the billing, allocating a share of the billing to each responsible participating party based on a predetermined function and computing a billing amount for each of the responsible participating parties based on a function of the share and a client bandwidth usage.
    Type: Grant
    Filed: June 16, 1997
    Date of Patent: March 7, 2000
    Assignee: International Business Machines Corporation
    Inventors: James P. Crosskey, Mark Gee-Gwo Mei, Harish Ragavan, Kun-Lung Wu, Philip Shi-lung Yu