Patents by Inventor Sowmya K

Sowmya K 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).

  • Cloud Resource Risk Scenario Assessment and Remediation
    Publication number: 20240080329
    Abstract: An illustrative method for performing a risk scenario assessment and remediation may include identifying, based on posture data associated with a compute environment, one or more compute resources deployed in the compute environment that are configured to be connected to a network, accessing runtime workload data associated with the one or more compute resources representative of network activity for the one or more compute resources, and performing, based on the posture data and the runtime workload data, a remediation operation associated with the one or more compute resources.
    Type: Application
    Filed: April 26, 2023
    Publication date: March 7, 2024
    Inventors: Theodore M. Reed, Nolan K. Karpinski, Xiaofei Guo, Christopher Hall, John Payyappillil John, Matti A. Vanninen, Naveen Kumar Bibinagar, Yijou Chen, Sowmya A. Karmali
  • Enterprise deployment framework with artificial intelligence/machine learning
    Patent number: 11301226
    Abstract: A method comprises managing multiple tasks of multiple entities associated with a deployment of a software program with a deployment framework comprising a machine learning module configured to assist with managing the multiple tasks of the multiple entities. The managing step comprises tracking a status of one or more of the multiple tasks, and predicting a time taken for a given one of the multiple entities to complete a given one of the multiple tasks.
    Type: Grant
    Filed: November 5, 2019
    Date of Patent: April 12, 2022
    Assignee: Dell Products L.P.
    Inventors: Hung Dinh, Shishir Kumar Parhi, Sowmya K, Shivangi Geetanjali, Antarlina Tripathy, Yash Khare, Sashibhusan Panda, Lakshman Kumar Tiwari, Sourav Datta, Seshadri Srinivasan, Panguluru Vijaya Sekhar, Baishali Roy, Sweta Kumari
  • ENTERPRISE DEPLOYMENT FRAMEWORK WITH ARTIFICIAL INTELLIGENCE/MACHINE LEARNING
    Publication number: 20210132927
    Abstract: A method comprises managing multiple tasks of multiple entities associated with a deployment of a software program with a deployment framework comprising a machine learning module configured to assist with managing the multiple tasks of the multiple entities. The managing step comprises tracking a status of one or more of the multiple tasks, and predicting a time taken for a given one of the multiple entities to complete a given one of the multiple tasks.
    Type: Application
    Filed: November 5, 2019
    Publication date: May 6, 2021
    Inventors: Hung Dinh, Shishir Kumar Parhi, Sowmya K, Shivangi Geetanjali, Antarlina Tripathy, Yash Khare, Sashibhusan Panda, Lakshman Kumar Tiwari, Sourav Datta, Seshadri Srinivasan, Panguluru Vijaya Sekhar, Baishali Roy, Sweta Kumari