Patents by Inventor Monika Shalabh GARG

Monika Shalabh GARG 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).

  • System and method for artificial intelligence based data integration of entities post market consolidation
    Patent number: 11494424
    Abstract: This disclosure relates generally to data integration, and more specifically to artificial intelligence based data integration of entities post market consolidation. The method includes extracting, using one or more text mining models, metadata associated with at least one category of each of the participating entities of the deal, from data sources associated with the entities. The disclosed system dynamically configures an assessment for the at least one category based on the metadata by using a set of Natural Language Processing (NLP) rules. The assessment includes parameters associated with the data integration of the entities. Response to the assessment is obtained from users belonging to the entities. An artificial intelligence (AI) based processing model assigns a similarity score to the responses, where the similarity score is indicative of extent of match between distinct responses obtained from the entities. A recommendation engine recommends a data integration model based on the similarity score.
    Type: Grant
    Filed: May 13, 2020
    Date of Patent: November 8, 2022
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Suhas Jagadish, Vijay Muttur, Ankur Khatri, Spandan Mahapatra, Monika Shalabh Garg
  • SYSTEM AND METHOD FOR ARTIFICIAL INTELLIGENCE BASED DATA INTEGRATION OF ENTITIES POST MARKET CONSOLIDATION
    Publication number: 20200387529
    Abstract: This disclosure relates generally to data integration, and more specifically to artificial intelligence based data integration of entities post market consolidation. The method includes extracting, using one or more text mining models, metadata associated with at least one category of each of the participating entities of the deal, from data sources associated with the entities. The disclosed system dynamically configures an assessment for the at least one category based on the metadata by using a set of Natural Language Processing (NLP) rules. The assessment includes parameters associated with the data integration of the entities. Response to the assessment is obtained from users belonging to the entities. An artificial intelligence (AI) based processing model assigns a similarity score to the responses, where the similarity score is indicative of extent of match between distinct responses obtained from the entities. A recommendation engine recommends a data integration model based on the similarity score.
    Type: Application
    Filed: May 13, 2020
    Publication date: December 10, 2020
    Applicant: Tata Consultancy Services Limited
    Inventors: Suhas JAGADISH, Vijay MUTTUR, Ankur KHATRI, Spandan MAHAPATRA, Monika Shalabh GARG