Patents by Inventor Rafael Amsili

Rafael Amsili 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).

  • Machine learning based tenant-specific chatbots for performing actions in a multi-tenant system
    Patent number: 11769013
    Abstract: A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for configuring a tenant-specific set of permitted actions. The multi-tenant system determines a set of example phrases for each of the selected permitted actions. The multi-tenant system receives a natural language request from a user and identifies the action that the user wants to perform. The multi-tenant system uses a neural network to compare the natural language request with example phrases to identify an example phrase that matches the natural language request. The multi-tenant system performs the action corresponding to the matching example phrase.
    Type: Grant
    Filed: November 11, 2019
    Date of Patent: September 26, 2023
    Assignee: Salesforce, Inc.
    Inventors: Michael Machado, James Douglas Harrison, Caiming Xiong, Xinyi Yang, Thomas Archie Cook, Roojuta Lalani, Jean-Marc Soumet, Karl Ryszard Skucha, Juan Rodriguez, Manju Vijayakumar, Vishal Motwani, Tian Xie, Bryan McCann, Nitish Shirish Keskar, Zhihao Zou, Chitra Gulabrani, Minal Khodani, Adarsha Badarinath, Rohiniben Thakar, Srikanth Kollu, Kevin Schoen, Qiong Liu, Amit Hetawal, Kevin Zhang, Kevin Zhang, Johnson Liu, Rafael Amsili
  • MACHINE LEARNING BASED TENANT-SPECIFIC CHATBOTS FOR PERFORMING ACTIONS IN A MULTI-TENANT SYSTEM
    Publication number: 20210141865
    Abstract: A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for configuring a tenant-specific set of permitted actions. The multi-tenant system determines a set of example phrases for each of the selected permitted actions. The multi-tenant system receives a natural language request from a user and identifies the action that the user wants to perform. The multi-tenant system uses a neural network to compare the natural language request with example phrases to identify an example phrase that matches the natural language request. The multi-tenant system performs the action corresponding to the matching example phrase.
    Type: Application
    Filed: November 11, 2019
    Publication date: May 13, 2021
    Inventors: Michael Machado, James Douglas Harrison, Caiming Xiong, Xinyi Yang, Thomas Archie Cook, Roojuta Lalani, Jean-Marc Soumet, Karl Ryszard Skucha, Juan Manuel Rodriguez, Manju Vijayakumar, Vishal Motwani, Tian Xie, Bryan McCann, Nitish Shirish Keskar, Armen Abrahamyan, Zhihao Zou, Chitra Gulabrani, Minal Khodani, Adarsha Badarinath, Rohiniben Thakar, Srikanth Kollu, Kevin Schoen, Qiong Liu, Amit Hetawal, Kevin Zhang, Kevin Zhang, Victor Brouk, Johnson Liu, Rafael Amsili