Patents by Inventor Sherin VARGHESE

Sherin VARGHESE 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).

  • Utilizing automatic labelling, prioritizing, and root cause analysis machine learning models and dependency graphs to determine recommendations for software products
    Patent number: 11860721
    Abstract: A device may receive software data identifying current logs and events associated with software products utilized by an entity and may process the software data, with a machine learning model, to generate error severity scores for the software products. The machine learning model may be trained based on historical software data identifying events and logs associated with software products utilized by the entity and based on a combination of historical health scores, historical sentiment scores, and historical dissimilarity scores for the software products. The device may process the error severity scores, with a prioritization model, to generate prioritized error scores and may process the error severity scores and the prioritized error scores, with a root cause analysis model, to generate root cause data identifying root causes associated with the error severity scores. The device may perform one or more actions based on the root cause data.
    Type: Grant
    Filed: July 20, 2021
    Date of Patent: January 2, 2024
    Assignee: Accenture Global Solutions Limited
    Inventors: Ravindra Kabbinale, Sherin Varghese, Santhosh MV, Bhavana V Gudi, Sneha S. Shekar, Shruthi Dhivakaran, Rajendra Prasad Tanniru, Aditi Kulkarni, Vijeth Srinivas Hegde, Koushik M. Vijayaraghavan
  • UTILIZING AUTOMATIC LABELLING, PRIORITIZING, AND ROOT CAUSE ANALYSIS MACHINE LEARNING MODELS AND DEPENDENCY GRAPHS TO DETERMINE RECOMMENDATIONS FOR SOFTWARE PRODUCTS
    Publication number: 20230021373
    Abstract: A device may receive software data identifying current logs and events associated with software products utilized by an entity and may process the software data, with a machine learning model, to generate error severity scores for the software products. The machine learning model may be trained based on historical software data identifying events and logs associated with software products utilized by the entity and based on a combination of historical health scores, historical sentiment scores, and historical dissimilarity scores for the software products. The device may process the error severity scores, with a prioritization model, to generate prioritized error scores and may process the error severity scores and the prioritized error scores, with a root cause analysis model, to generate root cause data identifying root causes associated with the error severity scores. The device may perform one or more actions based on the root cause data.
    Type: Application
    Filed: July 20, 2021
    Publication date: January 26, 2023
    Inventors: Ravindra KABBINALE, Sherin VARGHESE, Santhosh MV, Bhavana V. GUDI, Sneha S. SHEKAR, Shruthi DHIVAKARAN, Rajendra PRASAD TANNIRU, Aditi KULKARNI, Vijeth SRINIVAS HEGDE, Koushik M. VIJAYARAGHAVAN