Patents by Inventor Sudhir HANUMANTHAPPA

Sudhir HANUMANTHAPPA 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).

  • Utilizing artificial intelligence models to manage and extract knowledge for an application or a system
    Patent number: 11921764
    Abstract: A device may receive, in near-real time, unstructured data associated with an application or a system, and may extract textual data from the unstructured data. The device may parse the textual data to generate parsed textual data, and may perform natural language processing on the parsed textual data to generate processed textual data. The device may process the processed textual data, with a clustering model, to identify topical data associated with the processed textual data, and may process the topical data, with a classification model, to group the topical data into categories. The device may generate a knowledge graph based on the categories, and may store the knowledge graph in a data structure. The knowledge graph may enable the device to provide answers to questions associated with the application or the system.
    Type: Grant
    Filed: March 12, 2020
    Date of Patent: March 5, 2024
    Assignee: Accenture Global Solutions Limited
    Inventors: Rajendra Prasad Tanniru, Aditi Kulkarni, Koushik M Vijayaraghavan, Srikanth Prasad, Jayashri Sridevi, Roopalaxmi Manjunath, Shankaranand Mallapur, Rajesh Nagarajan, Purnima Jagannathan, Abhijit Avinash Kulkarni, Joydeep Sarkar, Pareshkumar Ramchandbhai Gelot, Sudhir Hanumanthappa
  • Utilizing a combination of machine learning models to determine a success probability for a software product
    Patent number: 11900325
    Abstract: A device may receive project management data associated with development of a software product and may process a first portion of the project management data, with first models, to generate timeliness scores and an overall timeliness score for the software product. The device may process a second portion of the project management data, with second models, to generate quality scores and an overall quality score for the software product and may process a third portion of the project management data, with third models, to generate product readiness scores and an overall product readiness score for the software product. The device may utilize a fourth machine learning model, with the overall timeliness score, the overall quality score, and the overall product readiness score, to generate a success probability for the software product and may perform one or more actions based on the success probability for the software product.
    Type: Grant
    Filed: July 19, 2021
    Date of Patent: February 13, 2024
    Assignee: Accenture Global Solutions Limited
    Inventors: Aditi Kulkarni, Roopalaxmi Manjunath, Sudha Srinivasan, Rajesh Nagarajan, Koushik M. Vijayaraghavan, Nishanth Kumar, Sudhir Hanumanthappa, Parul Jagtap, Sangeetha Jayaram
  • UTILIZING A COMBINATION OF MACHINE LEARNING MODELS TO DETERMINE A SUCCESS PROBABILITY FOR A SOFTWARE PRODUCT
    Publication number: 20230017316
    Abstract: A device may receive project management data associated with development of a software product and may process a first portion of the project management data, with first models, to generate timeliness scores and an overall timeliness score for the software product. The device may process a second portion of the project management data, with second models, to generate quality scores and an overall quality score for the software product and may process a third portion of the project management data, with third models, to generate product readiness scores and an overall product readiness score for the software product. The device may utilize a fourth machine learning model, with the overall timeliness score, the overall quality score, and the overall product readiness score, to generate a success probability for the software product and may perform one or more actions based on the success probability for the software product.
    Type: Application
    Filed: July 19, 2021
    Publication date: January 19, 2023
    Inventors: Aditi KULKARNI, Roopalaxmi MANJUNATH, Sudha SRINIVASAN, Rajesh NAGARAJAN, Koushik M. VIJAYARAGHAVAN, Nishanth KUMAR, Sudhir HANUMANTHAPPA, Parul JAGTAP, Sangeetha JAYARAM
  • UTILIZING ARTIFICIAL INTELLIGENCE MODELS TO MANAGE AND EXTRACT KNOWLEDGE FOR AN APPLICATION OR A SYSTEM
    Publication number: 20210286832
    Abstract: A device may receive, in near-real time, unstructured data associated with an application or a system, and may extract textual data from the unstructured data. The device may parse the textual data to generate parsed textual data, and may perform natural language processing on the parsed textual data to generate processed textual data. The device may process the processed textual data, with a clustering model, to identify topical data associated with the processed textual data, and may process the topical data, with a classification model, to group the topical data into categories. The device may generate a knowledge graph based on the categories, and may store the knowledge graph in a data structure. The knowledge graph may enable the device to provide answers to questions associated with the application or the system.
    Type: Application
    Filed: March 12, 2020
    Publication date: September 16, 2021
    Inventors: Rajendra PRASAD TANNIRU, Aditi KULKARNI, Koushik M VIJAYARAGHAVAN, Srikanth PRASAD, Jayashri SRIDEVI, Roopalaxmi MANJUNATH, Shankaranand MALLAPUR, Rajesh NAGARAJAN, Purnima JAGANNATHAN, Abhijit Avinash KULKARNI, Joydeep SARKAR, Pareshkumar Ramchandbhai GELOT, Sudhir HANUMANTHAPPA