Patents by Inventor Aneesh Shetty

Aneesh Shetty 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).

  • Leading indicators and monitor business KPIs and metrics for preemptive action
    Patent number: 11769100
    Abstract: Systems and methods for data analytics are described. One or more embodiments of the present disclosure receive target time series data and candidate time series data, where the candidate time series data includes data corresponding to each of a plurality of candidate metrics, train a prediction network to predict the target time series data based on the candidate time series data by setting temporal attention weights corresponding to a plurality of rolling time windows and by setting candidate attention weights corresponding to the plurality of candidate metrics, identify a leading indicator metric for the target time series data from the plurality of candidate metrics based on the temporal attention weights and the candidate attention weights, and signal the leading indicator metric for the target time series data.
    Type: Grant
    Filed: May 25, 2021
    Date of Patent: September 26, 2023
    Assignee: ADOBE, INC.
    Inventors: Atanu Sinha, Manoj Kilaru, Iftikhar Ahamath Burhanuddin, Aneesh Shetty, Titas Chakraborty, Rachit Bansal, Tirupati Saketh Chandra, Fan Du, Aurghya Maiti, Saurabh Mahapatra
  • LEADING INDICATORS AND MONITOR BUSINESS KPIS AND METRICS FOR PREEMPTIVE ACTION
    Publication number: 20220383224
    Abstract: Systems and methods for data analytics are described. One or more embodiments of the present disclosure receive target time series data and candidate time series data, where the candidate time series data includes data corresponding to each of a plurality of candidate metrics, train a prediction network to predict the target time series data based on the candidate time series data by setting temporal attention weights corresponding to a plurality of rolling time windows and by setting candidate attention weights corresponding to the plurality of candidate metrics, identify a leading indicator metric for the target time series data from the plurality of candidate metrics based on the temporal attention weights and the candidate attention weights, and signal the leading indicator metric for the target time series data.
    Type: Application
    Filed: May 25, 2021
    Publication date: December 1, 2022
    Inventors: Atanu Sinha, Manoj Kilaru, Iftikhar Ahamath Burhanuddin, Aneesh Shetty, Titas Chakraborty, Rachit Bansal, Tirupati Saketh Chandra, Fan Du, Aurghya Maiti, Saurabh Mahapatra