Patents by Inventor Ramesh Babu Kothamasu

Ramesh Babu Kothamasu 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).

  • Interactive selection and modification
    Patent number: 11189290
    Abstract: A method, system, and program product for selecting software is provided. The method includes retrieving audio data during a call with a subject matter expert (SME). The audio data is converted into a data training set and documents of the SME are converted into a document training set. Canonical documents generated by authors are analyzed and specified code is extracted from the text data training set and document training set. Attributes of individuals are detected. The attributes are compared with specified data and the canonical documents and it is determined that the individuals are requesting information associated with the text data. The information is provided to the individuals via the canonical documents or the documents of the SME and it is determined if a matched set of data exists between the attributes, the specified data, and the canonical documents. A digital action associated with results of the determination is executed.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: November 30, 2021
    Assignee: International Business Machines Corporation
    Inventors: John J. Auvenshine, Jason LaScola, Michael Flores, Marci Devorah Formato, Ramesh Babu Kothamasu, Vidula M Patel
  • INTERACTIVE SELECTION AND MODIFICATION
    Publication number: 20210174808
    Abstract: A method, system, and program product for selecting software is provided. The method includes retrieving audio data during a call with a subject matter expert (SME). The audio data is converted into a data training set and documents of the SME are converted into a document training set. Canonical documents generated by authors are analyzed and specified code is extracted from the text data training set and document training set. Attributes of individuals are detected. The attributes are compared with specified data and the canonical documents and it is determined that the individuals are requesting information associated with the text data. The information is provided to the individuals via the canonical documents or the documents of the SME and it is determined if a matched set of data exists between the attributes, the specified data, and the canonical documents. A digital action associated with results of the determination is executed.
    Type: Application
    Filed: December 4, 2019
    Publication date: June 10, 2021
    Inventors: John J. Auvenshine, Jason LaScola, Michael Flores, Marci Devorah Formato, Ramesh Babu Kothamasu, Vidula M Patel