Patents by Inventor PRADEEP DASH

PRADEEP DASH 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).

  • Optimized estimates for support characteristics for operational systems
    Patent number: 11501237
    Abstract: A method, system, and computer program product for predicting optimal service characteristics to execute predicted IT tickets. The method may include identifying deployment characteristics for an operational system based on an architecture of the operational system. The method may also include receiving implementation data in response to past incident tickets based on the deployment characteristics. The method may also include identifying relationships within the implementation data. The method may also include predicting a volume of new tickets based on the implementation data and the relationships between the implementation data. The method may also include predicting a resolution time for high severity tickets in the volume of new tickets. The method may also include determining preferred service characteristics based on the volume of the new tickets and the resolution time for the high severity tickets.
    Type: Grant
    Filed: August 4, 2020
    Date of Patent: November 15, 2022
    Assignee: International Business Machines Corporation
    Inventors: Pranshu Tiwari, Harish Bharti, Pradeep Dash, Santosh Patil, Swarnalata Patel, Saurabh Trehan
  • OPTIMIZED ESTIMATES FOR SUPPORT CHARACTERISTICS FOR OPERATIONAL SYSTEMS
    Publication number: 20220044179
    Abstract: A method, system, and computer program product for predicting optimal service characteristics to execute predicted IT tickets. The method may include identifying deployment characteristics for an operational system based on an architecture of the operational system. The method may also include receiving implementation data in response to past incident tickets based on the deployment characteristics. The method may also include identifying relationships within the implementation data. The method may also include predicting a volume of new tickets based on the implementation data and the relationships between the implementation data. The method may also include predicting a resolution time for high severity tickets in the volume of new tickets. The method may also include determining preferred service characteristics based on the volume of the new tickets and the resolution time for the high severity tickets.
    Type: Application
    Filed: August 4, 2020
    Publication date: February 10, 2022
    Inventors: Pranshu Tiwari, HARISH BHARTI, PRADEEP DASH, SANTOSH PATIL, Swarnalata Patel, Saurabh Trehan