Patents by Inventor Ravi Kumar Raju Gottumukkala

Ravi Kumar Raju Gottumukkala 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: 20230062114
    Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis with respect to structured data objects. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis with respect to structured data objects by utilizing at least one of cross-table data similarity score generation machine learning models and various machine learning frameworks for cross-database similarity determination.
    Type: Application
    Filed: August 26, 2021
    Publication date: March 2, 2023
    Inventors: Swapna Sourav Rout, Ankit Varshney, Sudeep Choudhary, Ravi Kumar Raju Gottumukkala, Sreedhar Terala
  • Publication number: 20230049221
    Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis with respect to structured data objects. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis with respect to structured data objects by utilizing at least one of cross-table data similarity score generation machine learning models and unsupervised anomalous table row detection machine learning models.
    Type: Application
    Filed: August 13, 2021
    Publication date: February 16, 2023
    Inventors: Swapna Sourav Rout, Ankit Varshney, Sudeep Choudhary, Ravi Kumar Raju Gottumukkala
  • Publication number: 20220222570
    Abstract: There is a need for more effective and efficient performing classification-based predictive data analysis on named data collections. This need can be addressed by, for example, solutions for performing classification-based predictive data analysis on named data collections that utilize at least one of techniques for generating column classification machine learning models to perform column classification, techniques for generating column classification machine learning models to perform anomaly detection, techniques for utilizing trained column classification machine learning models to perform column classification, and techniques for utilizing trained column classification machine learning models to perform anomaly detection.
    Type: Application
    Filed: January 12, 2021
    Publication date: July 14, 2022
    Inventors: Swapna Sourav Rout, Sudeep Choudhary, Subhadip Maji, Vineet Shukla, Ravi Kumar Raju Gottumukkala
  • Publication number: 20220222571
    Abstract: There is a need for more effective and efficient performing classification-based predictive data analysis on named data collections. This need can be addressed by, for example, solutions for performing classification-based predictive data analysis on named data collections that utilize at least one of techniques for generating column classification machine learning models to perform column classification, techniques for generating column classification machine learning models to perform anomaly detection, techniques for utilizing trained column classification machine learning models to perform column classification, and techniques for utilizing trained column classification machine learning models to perform anomaly detection.
    Type: Application
    Filed: January 12, 2021
    Publication date: July 14, 2022
    Inventors: Swapna Sourav Rout, Sudeep Choudhary, Subhadip Maji, Vineet Shukla, Ravi Kumar Raju Gottumukkala, John Markson
  • Publication number: 20220083898
    Abstract: There is a need for more effective and efficient anomalous text detection.
    Type: Application
    Filed: September 11, 2020
    Publication date: March 17, 2022
    Inventors: Vineet Shukla, V Kishore Ayyadevara, Rohan Khilnani, Ravi Kumar Raju Gottumukkala, Ankit Varshney, Rajat Gupta