Patents by Inventor Vidya Rajagopal

Vidya Rajagopal 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).

  • Publication number: 20230394115
    Abstract: This disclosure is directed generally to an automatic intelligent electronic data processing system, platform, and method for computerized multi-facet data pattern recognition and ranking, and particularly to intelligently personalizing recommendation of data items for consumption by a particular entity based on past data consumption history of the entity and/or other entities via machine recognition of intra and/or inter-entity data item selection correlations. Such personalized recommendation may be based on a multi-facet ranking of the data items by integrating various intra-entity and inter-entity correlations and patterns in data item consumption into a quantifiable entity-specific ranking score for each data item that may potentially be selected for consumption by a particular entity.
    Type: Application
    Filed: June 6, 2022
    Publication date: December 7, 2023
    Applicant: Accenture Global Solutions Limited
    Inventors: Vidya Rajagopal, Marin Grace, Amritendu Majumdar, Sunjeet Gupta, Matthew D. LeClaire, Jeff Ivany
  • Patent number: 11538237
    Abstract: A device trains a classification model with defect classifier training data to generate a trained classification model and processes information indicating priorities and rework efforts for defects, with a Pareto analysis model, to select a set of classes for the defects. The device calculates defect scores for the set of the classes and selects a particular class, from the set of the classes, based on the defect scores. The device processes a historical data set for the particular class to identify a root cause corrective action (RCCA) recommendation and processes information indicating a defect associated with the particular class, with the trained classification model, to generate a predicted RCCA recommendation for the defect. The device processes the predicted RCCA recommendation and the RCCA recommendation, with a linear regression model, to determine an effectiveness score for the predicted RCCA recommendation and retrains the classification model based on the effectiveness score.
    Type: Grant
    Filed: January 15, 2019
    Date of Patent: December 27, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Vidya Rajagopal, Gaurav Mengi, Marin Grace Mercylawrence, Bijayani Das
  • Patent number: 11380305
    Abstract: A system and method for using, training, building, and managing a question and answer engine to automatically generate responses to an end-user is disclosed. Specifically, the method and system make use of a topic builder that uses cluster predictions to generate and identify a list of topics and subtopics. A question and answer database may then be sorted by topic and subtopic using a similarity scorer. New user utterances may be analyzed to identify questions, with a cluster predictor identifying the corresponding topic and subtopics for each question, and a similarity scorer may identify the closest known question for the user's question to a recommender as an answer. Analytics of new user utterances are tracked to update the historical utterance database and question and answer database, thus allowing continuous improvement of the engine.
    Type: Grant
    Filed: December 16, 2019
    Date of Patent: July 5, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Vidya Rajagopal, Marin Grace Mercylawrence, Gaurav Mengi
  • Patent number: 11270081
    Abstract: The present disclosure relates to a system, a method, and a product for an artificial intelligence based virtual agent trainer. The system includes a processor in communication with a memory storing instructions. When the processor executes the instructions, the instructions are configured to cause the processor to obtain input data and generate a preliminary set of utterances based on the input data, process the preliminary set of utterances to generate a set of utterance training data, generate a set of conversations based on the set of utterance training data, simulate the set of conversations on a virtual agent to obtain a conversation result, verify an intent and a response based on the conversation result, verify a use case flow and flow hops based on the conversation result, and generate recommendation information and maturity report based on verification results.
    Type: Grant
    Filed: May 1, 2020
    Date of Patent: March 8, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Vidya Rajagopal, Kokila Manickam, Marin Grace Mercylawrence, Gaurav Mengi
  • Publication number: 20210064826
    Abstract: The present disclosure relates to a system, a method, and a product for an artificial intelligence based virtual agent trainer. The system includes a processor in communication with a memory storing instructions. When the processor executes the instructions, the instructions are configured to cause the processor to obtain input data and generate a preliminary set of utterances based on the input data, process the preliminary set of utterances to generate a set of utterance training data, generate a set of conversations based on the set of utterance training data, simulate the set of conversations on a virtual agent to obtain a conversation result, verify an intent and a response based on the conversation result, verify a use case flow and flow hops based on the conversation result, and generate recommendation information and maturity report based on verification results.
    Type: Application
    Filed: May 1, 2020
    Publication date: March 4, 2021
    Inventors: Vidya RAJAGOPAL, Kokila MANICKAM, Marin GRACE MERCYLAWRENCE, Gaurav MENGI
  • Publication number: 20200226401
    Abstract: A device trains a classification model with defect classifier training data to generate a trained classification model and processes information indicating priorities and rework efforts for defects, with a Pareto analysis model, to select a set of classes for the defects. The device calculates defect scores for the set of the classes and selects a particular class, from the set of the classes, based on the defect scores. The device processes a historical data set for the particular class to identify a root cause corrective action (RCCA) recommendation and processes information indicating a defect associated with the particular class, with the trained classification model, to generate a predicted RCCA recommendation for the defect. The device processes the predicted RCCA recommendation and the RCCA recommendation, with a linear regression model, to determine an effectiveness score for the predicted RCCA recommendation and retrains the classification model based on the effectiveness score.
    Type: Application
    Filed: January 15, 2019
    Publication date: July 16, 2020
    Inventors: Vidya RAJAGOPAL, Gaurav MENGI, Marin GRACE MERCYLAWRENCE, Bijayani DAS
  • Publication number: 20200227026
    Abstract: A system and method for using, training, building, and managing a question and answer engine to automatically generate responses to an end-user is disclosed. Specifically, the method and system make use of a topic builder that uses cluster predictions to generate and identify a list of topics and subtopics. A question and answer database may then be sorted by topic and subtopic using a similarity scorer. New user utterances may be analyzed to identify questions, with a cluster predictor identifying the corresponding topic and subtopics for each question, and a similarity scorer may identify the closest known question for the user's question to a recommender as an answer. Analytics of new user utterances are tracked to update the historical utterance database and question and answer database, thus allowing continuous improvement of the engine.
    Type: Application
    Filed: December 16, 2019
    Publication date: July 16, 2020
    Inventors: Vidya Rajagopal, Marin Grace Mercylawrence, Gaurav Mengi
  • Patent number: 10691897
    Abstract: The present disclosure relates to a system, a method, and a product for an artificial intelligence based virtual agent trainer. The system includes a processor in communication with a memory storing instructions. When the processor executes the instructions, the instructions are configured to cause the processor to obtain input data and generate a preliminary set of utterances based on the input data, process the preliminary set of utterances to generate a set of utterance training data, generate a set of conversations based on the set of utterance training data, simulate the set of conversations on a virtual agent to obtain a conversation result, verify an intent and a response based on the conversation result, verify a use case flow and flow hops based on the conversation result, and generate recommendation information and maturity report based on verification results.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: June 23, 2020
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Vidya Rajagopal, Kokila Manickam, Marin Grace Mercylawrence, Gaurav Mengi
  • Patent number: 9772919
    Abstract: An electronic control unit (ECU) is tested by an automated D-bus testing tool in a first device. The test tool establishes one or more secure shells between the first device and the ECU. The tool reads test input data from an Excel input file. The ECU comprises a software stack including a test client, a Bluetooth middle layer and a hardware abstraction layer, that communicate internally relative to the ECU, via a D-bus. The test tool sends function calls and parameters via the secure shells to the ECU to test execution of Bluetooth functions and/or Bluetooth profiles. The function calls enable simulation of a human machine interface by the test client. The tool monitors API call returns and logs D-bus communications via the one or more secure shells. The test tool outputs test verdict information and/or D-bus communication logs as text in an Excel file.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: September 26, 2017
    Assignee: Accenture Global Services Limited
    Inventors: Vidya Rajagopal, Divya Kilari Chandrababu naidu, Marin Grace, Sudhir Kudva
  • Patent number: 9349365
    Abstract: An electronic control unit (ECU) of a hands-free module may be tested by an automated voice based testing tool in a first device. The tool reads test input data from an Excel input file. The tool generates simulated audible voice commands in a specified language, accent, pitch, volume or speed to test the hands-free module. The voice commands are transmitted via a speaker to a hands-free module microphone. The hands-free ECU is coupled to a CAN bus and the tool receives CAN bus information corresponding to hands-free module operations. The tool outputs test verdict information and/or CAN bus message logs as text in an Excel file.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: May 24, 2016
    Assignee: Accenture Global Services Limited
    Inventors: Vidya Rajagopal, Divya Kilari Chandrababu naidu, Marin Grace
  • Publication number: 20140278439
    Abstract: An electronic control unit (ECU) of a hands-free module may be tested by an automated voice based testing tool in a first device. The tool reads test input data from an Excel input file. The tool generates simulated audible voice commands in a specified language, accent, pitch, volume or speed to test the hands-free module. The voice commands are transmitted via a speaker to a hands-free module microphone. The hands-free ECU is coupled to a CAN bus and the tool receives CAN bus information corresponding to hands-free module operations. The tool outputs test verdict information and/or CAN bus message logs as text in an Excel file.
    Type: Application
    Filed: March 14, 2013
    Publication date: September 18, 2014
    Applicant: Accenture Global Services Limited
    Inventors: Vidya Rajagopal, Divya Kilari Chandrababu naidu, Marin Grace
  • Publication number: 20140278199
    Abstract: An electronic control unit (ECU) is tested by an automated D-bus testing tool in a first device. The test tool establishes one or more secure shells between the first device and the ECU. The tool reads test input data from an Excel input file. The ECU comprises a software stack including a test client, a Bluetooth middle layer and a hardware abstraction layer, that communicate internally relative to the ECU, via a D-bus. The test tool sends function calls and parameters via the secure shells to the ECU to test execution of Bluetooth functions and/or Bluetooth profiles. The function calls enable simulation of a human machine interface by the test client. The tool monitors API call returns and logs D-bus communications via the one or more secure shells. The test tool outputs test verdict information and/or D-bus communication logs as text in an Excel file.
    Type: Application
    Filed: March 14, 2013
    Publication date: September 18, 2014
    Applicant: Accenture Global Services Limited
    Inventors: Vidya Rajagopal, Divya Kilari Chandrababu naidu, Marin Grace, Sudhir Kudva