Patents by Inventor Ashlesh Bajpai

Ashlesh Bajpai 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).

  • Techniques for data-driven correlation of metrics
    Patent number: 11367034
    Abstract: Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: June 21, 2022
    Assignee: Oracle International Corporation
    Inventors: Renu Chintalapati, Manisha Gupta, Ashlesh Bajpai, David Granholm, Stefan Schmitz, Naren Chawla, Matthew Bedin, Jacques Vigeant, Ananth Venkata, Rajesh Balu, Vikas Agrawal
  • TECHNIQUES FOR DATA-DRIVEN CORRELATION OF METRICS
    Publication number: 20200104775
    Abstract: Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.
    Type: Application
    Filed: September 27, 2019
    Publication date: April 2, 2020
    Applicant: Oracle International Corporation
    Inventors: Renu Chintalapati, Manisha Gupta, Ashlesh Bajpai, David Granholm, Stefan Schmitz, Naren Chawla, Matthew Bedin, Jacques Vigeant, Ananth Venkata, Rajesh Balu, Vikas Agrawal