Patents by Inventor Uthra Venkatesan

Uthra Venkatesan 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).

  • Auto reinforced anomaly detection
    Patent number: 11422992
    Abstract: Examples of a data anomaly detection system are provided. The system may obtain a query and target data associated with a data anomaly detection requirement. The system may sort the target data into a plurality of data wedges comprising a plurality of events. The system may create a data pattern model for each of the plurality of data wedges. The system may identify a data threshold value and identify a data probity score for each of the plurality of events. The system may create a data probity index and identify a data anomaly cluster for the data pattern model. The system may generate a data anomaly detection result and initiate anomaly detection corresponding to the data anomaly detection requirement. The data anomaly detection result may include the data pattern model deficient of the data anomaly cluster relevant for resolution to the query.
    Type: Grant
    Filed: March 16, 2020
    Date of Patent: August 23, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Nitin Harale, Sridhar Meenakshisundaram, John SasiKumar Manohar, Uthra Venkatesan
  • AUTO REINFORCED ANOMALY DETECTION
    Publication number: 20210286780
    Abstract: Examples of a data anomaly detection system are provided. The system may obtain a query and target data associated with a data anomaly detection requirement. The system may sort the target data into a plurality of data wedges comprising a plurality of events. The system may create a data pattern model for each of the plurality of data wedges. The system may identify a data threshold value and identify a data probity score for each of the plurality of events. The system may create a data probity index and identify a data anomaly cluster for the data pattern model. The system may generate a data anomaly detection result and initiate anomaly detection corresponding to the data anomaly detection requirement. The data anomaly detection result may include the data pattern model deficient of the data anomaly cluster relevant for resolution to the query.
    Type: Application
    Filed: March 16, 2020
    Publication date: September 16, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Nitin Harale, Sridhar Meenakshisundaram, John SasiKumar Manohar, Uthra Venkatesan