Patents by Inventor Sundharraman Karthik Narain

Sundharraman Karthik Narain 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: 20250086563
    Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support intelligent re-use of knowledge (e.g., across an organization) using a natural text-based querying framework. A knowledge representation of prior work performed for the organization may be generated based on organizational knowledge (e.g., historical work record data that identifies a plurality of work items across an organization). The knowledge representation may include individual work-record entities for each respective work item and individual knowledge graphs corresponding to the individual work-record entities. For each individual knowledge graph, operations may be performed to identity and store project name, subgraph, sentence embedding, and word embedding information.
    Type: Application
    Filed: September 7, 2023
    Publication date: March 13, 2025
    Inventors: Kuntal Dey, Kapil Singi, Kanchanjot Kaur Phokela, Swapnajeet Choudhury, Ritu Pramod Dalmia, Vibhu Saujanya Sharma, Vikrant Kaulgud, Teresa Sheausan Tung, Alok Tyagi, Lan Guan, Sundharraman Karthik Narain, Gopali Raval Contractor, Jagan Mohan, Margaret Cooney Ding, Srinivasan Saravanamuthu, Rajendra Prasad Tanniru, Niel Eyde, Pragya Sharma
  • Publication number: 20240403135
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a cloud-computing system architecture. In some implementations, target performance criteria associated with an application executable at least in part on a cloud-computing system is obtained. Target process parameters related to processes associated with the execution of the application are generating using machine-learning models from the target performance criteria. Simulations of the execution of the application on respective ones of candidate computing systems are performed. Each candidate computing system includes a corresponding sequence of multiple architecture components at least a portion of which represents components of the clouding computing system. At least one of the candidate computing systems is selected that satisfies the target process parameters. Instructions are provided for deploying the selected computing system for execution of the application.
    Type: Application
    Filed: September 20, 2023
    Publication date: December 5, 2024
    Inventors: Mahesh Venkataraman, Sundharraman Karthik Narain, Michael A. Ljung, Ajoy Menon, Shylaja Shivaram, David Edward Wood, Reuben Rajan George
  • Patent number: 11789983
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a win prediction for an opportunity. In some implementations, a server receives data representing an opportunity. The server obtains historical data from a data repository based on the received data representing the opportunity. The server generates standardized feature vectors based on non-standardized data, the non-standardized data comprising (i) the received data and (ii) the obtained historical data. The server filters the standardized feature vectors. The server generates a win percentage based on the filtered feature vectors using classifiers. In response to generating the win percentage for the opportunity, the server generates a plurality of data insights using the classifiers and the generated win percentage, wherein the plurality of data insights describe one or more data predictions for pursuing the opportunity.
    Type: Grant
    Filed: September 13, 2021
    Date of Patent: October 17, 2023
    Assignee: Accenture Global Solutions Limited
    Inventors: Kishore P. Durg, Raghavan Tinniyam Iyer, Ramkumar Kothandaraman, Ravi Kant Gaur, Sundharraman Karthik Narain, Sudeep Sharma, Puneet Kalra, Praveen Subbnanjappa, John Francis Walsh, Dinesh Jaibhagwan Mittal, Bhavna Butani
  • Publication number: 20220083570
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a win prediction for an opportunity. In some implementations, a server receives data representing an opportunity. The server obtains historical data from a data repository based on the received data representing the opportunity. The server generates standardized feature vectors based on non-standardized data, the non-standardized data comprising (i) the received data and (ii) the obtained historical data. The server filters the standardized feature vectors. The server generates a win percentage based on the filtered feature vectors using classifiers. In response to generating the win percentage for the opportunity, the server generates a plurality of data insights using the classifiers and the generated win percentage, wherein the plurality of data insights describe one or more data predictions for pursuing the opportunity.
    Type: Application
    Filed: September 13, 2021
    Publication date: March 17, 2022
    Inventors: Kishore P. Durg, Raghavan Tinniyam Iyer, Ramkumar Kothandaraman, Ravi Kant Gaur, Sundharraman Karthik Narain, Sudeep Sharma, Puneet Kalra, Praveen Subbnanjappa, John Francis Walsh, Dinesh Jaibhagwan Mittal, Bhavna Butani