Patents by Inventor Debashis BARDHAN

Debashis BARDHAN 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 machine learning models to determine and recommend new releases from cloud providers to customers
    Patent number: 11727464
    Abstract: In some implementations, a device may receive release data identifying new releases associated with cloud providers. The device may receive customer data associated with customers of the cloud providers. The device may receive interest data identifying interests of the customers. The device may filter the release data and may process the filtered release data and taxonomy data identifying historical release data, with a model, to generate classification data identifying classifications of the release data. The device may process the filtered release data, the classification data, and the customer data, with a model, to identify a set of release data that is relevant for each customer, and to generate sets of release data for the customers. The device may identify additional data of the filtered release data that is relevant for each of the customers. The device may supplement the sets of release data with the additional data.
    Type: Grant
    Filed: August 31, 2020
    Date of Patent: August 15, 2023
    Assignee: Accenture Global Solutions Limited
    Inventors: Michael Eisenstein, Debashis Bardhan
  • UTILIZING MACHINE LEARNING MODELS TO DETERMINE AND RECOMMEND NEW RELEASES FROM CLOUD PROVIDERS TO CUSTOMERS
    Publication number: 20220067747
    Abstract: In some implementations, a device may receive release data identifying new releases associated with cloud providers. The device may receive customer data associated with customers of the cloud providers. The device may receive interest data identifying interests of the customers. The device may filter the release data and may process the filtered release data and taxonomy data identifying historical release data, with a model, to generate classification data identifying classifications of the release data. The device may process the filtered release data, the classification data, and the customer data, with a model, to identify a set of release data that is relevant for each customer, and to generate sets of release data for the customers. The device may identify additional data of the filtered release data that is relevant for each of the customers. The device may supplement the sets of release data with the additional data.
    Type: Application
    Filed: August 31, 2020
    Publication date: March 3, 2022
    Inventors: Michael EISENSTEIN, Debashis BARDHAN