Patents by Inventor Lakshman Kumar Tiwari

Lakshman Kumar Tiwari 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).

  • 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
  • Augmenting End-to-End Transaction Visibility Using Artificial Intelligence
    Publication number: 20210133594
    Abstract: Methods, apparatus, and processor-readable storage media for augmenting end-to-end transaction visibility using artificial intelligence are provided herein. An example computer-implemented method includes obtaining data related to multiple transaction flows across multiple data sources within an enterprise system, and forecasting anomalies in connection with at least one of the transaction flows by applying one or more of a first set of artificial intelligence techniques to portions of the obtained data, wherein applying the artificial intelligence techniques is based on which of the multiple data sources correspond to the portions of the obtained data. Such a method further includes determining automated actions to be performed in connection with the forecasted anomalies by applying one or more of a second set of artificial intelligence techniques to portions of the obtained data related to the forecasted anomalies, and performing the automated actions in connection with the at least one transaction flow.
    Type: Application
    Filed: October 30, 2019
    Publication date: May 6, 2021
    Inventors: Hung T. Dinh, Kiran Kumar Pidugu, Sabu K. Syed, Lakshman Kumar Tiwari, Geetha Venkatesan, Sourav Datta, Vijaya P. Sekhar, Kannappan Ramu, Jatin Kamlesh Thakkar
  • 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
  • Transaction visibility frameworks implemented using artificial intelligence
    Patent number: 10928986
    Abstract: Methods, apparatus, and processor-readable storage media for transaction visibility framework implemented using artificial intelligence are provided herein.
    Type: Grant
    Filed: November 1, 2019
    Date of Patent: February 23, 2021
    Assignee: EMC IP Holding Company LLC
    Inventors: Hung T. Dinh, Kiran Kumar Pidugu, Sabu K. Syed, Lakshman Kumar Tiwari, Rajesh Krishnan, Seshadri Srinivasan, Puneet Arora, Geetha Venkatesan, Sourav Datta, Vijaya P. Sekhar, Manikandan Rathinavelu, Ranjani M. Venkata, Muhammed Mohiuddin