Patents by Inventor Mahesh Zurale

Mahesh Zurale 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).

  • PHASE-BASED MACHINE LEARNING AND USER INTERFACES FOR THE SAME
    Publication number: 20240202578
    Abstract: In some implementations, a planning system may receive multiple files in multiple formats and associated with historical contracting information. The planning system may convert the plurality of files into a unified data format, to generate a unified set of data, and may update a machine learning model based on the unified set of data. The planning system may receive input associated with a current contract and may select a set of factors based on a phase associated with the current contract. The planning system may apply the machine learning model to the input to generate a probability associated with the current contract and may provide instructions for a user interface that visually depicts the probability. The planning system may additionally generate recommended modifications to increase the probability. The recommended modifications may be fed back into a training (and retraining) cycle for the machine learning model to increase accuracy.
    Type: Application
    Filed: December 15, 2022
    Publication date: June 20, 2024
    Inventors: Mahesh ZURALE, Aditi KULKARNI, Koushik M. VIJAYARAGHAVAN, Seshadri BHAGAWATGEETA, Jana KOUSTUV, Srinivasan KOOTALAI SUNDARAM, Krishnaveni AYYAPPAN, Harish KUMAR GUPTA, Arulvasu Ramaswamy VYRAVAN, Kanwal HANS, Sridevi VINEET MEHTA, Lakshmi SUTHANTHIRANATHAN, Anuj KUMAR TALWAR, Vaishali PANDIT
  • Enterprise management system using artificial intelligence and machine learning for technology analysis and integration
    Patent number: 11973657
    Abstract: A system may receive enterprise information associated with a client enterprise. The system may select, using an industry analysis model, a set of queries associated with obtaining status information that is associated with a technology profile of the client enterprise. The system may generate client data that is associated with the enterprise information and the status information. The system may convert, using a matrix factorization technique, the client data associated with the client enterprise to a client matrix. The system may convert, using the matrix factorization technique, reference data associated with reference enterprises to a reference matrix. The system may determine, based on a comparison of the client matrix and the reference matrix, a set of scores associated with technology metrics of the technology profile. The system may perform an action associated with the client enterprise based on the set of scores.
    Type: Grant
    Filed: October 21, 2020
    Date of Patent: April 30, 2024
    Assignee: Accenture Global Solutions Limited
    Inventors: Rajendra Tanniru Prasad, Bhaskar Ghosh, Aditi Kulkarni, Koushik M. Vijayaraghavan, Purnima Jagannathan, Parul Jagtap, Sangeetha Jayaram, Badrinath Parameswar, Manas Mishra, Jeffson Felix Dsouza, Gaurav Goenka, Gaurav Sood, Pradeep Senapati, Vaijayanthi Ramaswamy, Ranjith Tharayil, Mahesh Zurale, Ramanathan Venkataraman
  • ENTERPRISE MANAGEMENT SYSTEM USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR TECHNOLOGY ANALYSIS AND INTEGRATION
    Publication number: 20220124000
    Abstract: A system may receive enterprise information associated with a client enterprise. The system may select, using an industry analysis model, a set of queries associated with obtaining status information that is associated with a technology profile of the client enterprise. The system may generate client data that is associated with the enterprise information and the status information. The system may convert, using a matrix factorization technique, the client data associated with the client enterprise to a client matrix. The system may convert, using the matrix factorization technique, reference data associated with reference enterprises to a reference matrix. The system may determine, based on a comparison of the client matrix and the reference matrix, a set of scores associated with technology metrics of the technology profile. The system may perform an action associated with the client enterprise based on the set of scores.
    Type: Application
    Filed: October 21, 2020
    Publication date: April 21, 2022
    Inventors: Rajendra Tanniru PRASAD, Bhaskar GHOSH, Aditi KULKARNI, Koushik M. VIJAYARAGHAVAN, Purnima JAGANNATHAN, Parul JAGTAP, Sangeetha JAYARAM, Badrinath PARAMESWAR, Manas MISHRA, Jeffson Felix DSOUZA, Gaurav GOENKA, Gaurav SOOD, Pradeep SENAPATI, Vaijayanthi RAMASWAMY, Ranjith THARAYIL, Mahesh Zurale