Patents by Inventor Renato Tavares Da Silva

Renato Tavares Da Silva 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 a machine learning model and natural language processing to manage and allocate tasks
    Patent number: 11205143
    Abstract: A device trains a machine learning model with historical productivity data and skills data to generate a trained machine learning model that determines allocations of tasks to workers. The device receives new task data identifying new tasks to allocate to the workers and performs natural language processing on the new task data to convert the new task data to processed new task data. The device receives, from sensors associated with the workers, real-time productivity data identifying productivity of the workers in completing current tasks assigned to the workers. The device processes the processed new task data and the real-time productivity data, with the trained machine learning model, to determine allocations of the new tasks to the workers, and causes the new tasks to be allocated to the workers by one or more devices and based on the determined allocations of the new tasks.
    Type: Grant
    Filed: February 13, 2019
    Date of Patent: December 21, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Fabiano Jose Daniek Guastella, Leomar Oliveira Dias Filho, Eduardo Fernandes De Olveira, Laila Rothe Andrade, Renato Tavares Da Silva, Mardoqueu Souza Vieira, Leonardo Valeriano Neri, Jamisson Santana Freitas
  • UTILIZING A MACHINE LEARNING MODEL AND NATURAL LANGUAGE PROCESSING TO MANAGE AND ALLOCATE TASKS
    Publication number: 20190258985
    Abstract: A device trains a machine learning model with historical productivity data and skills data to generate a trained machine learning model that determines allocations of tasks to workers. The device receives new task data identifying new tasks to allocate to the workers and performs natural language processing on the new task data to convert the new task data to processed new task data. The device receives, from sensors associated with the workers, real-time productivity data identifying productivity of the workers in completing current tasks assigned to the workers. The device processes the processed new task data and the real-time productivity data, with the trained machine learning model, to determine allocations of the new tasks to the workers, and causes the new tasks to be allocated to the workers by one or more devices and based on the determined allocations of the new tasks.
    Type: Application
    Filed: February 13, 2019
    Publication date: August 22, 2019
    Inventors: Fabiano Jose Daniek Guastella, Leomar Oliveira Dias Filho, Eduardo Fernandes De Olveira, Laila Rothe Andrade, Renato Tavares Da Silva, Mardoqueu Souza Vieira, Leonardo Valeriano Neri, Jamisson Santana Freitas