Patents by Inventor Mehmet Ezbiderli

Mehmet Ezbiderli 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).

  • Patent number: 12105725
    Abstract: Methods, systems, apparatuses, devices, and computer program products are described. A system may identify, from an event log including log entries for a tenant of a multi-tenant database system, a pattern of log entries corresponding to main actions and satisfying a frequency threshold. The system may identify log entries associated with the pattern and corresponding to the main actions, detailed actions, or both. The system may retrieve data corresponding to a history field of a data object associated with the pattern and may determine at least a portion of a process flow for the data object according to the pattern and based on the log entries and the historical data. The process flow may include operations to perform using the data object. In some cases, the system may transmit, to a user device, an indication of the portion of the process flow for user review and implementation.
    Type: Grant
    Filed: January 31, 2022
    Date of Patent: October 1, 2024
    Assignee: Salesforce, Inc.
    Inventors: Zineb Laraki, Penny Tselikis, Till Christian Bergmann, Michael Weil, Christian Posse, Jason Teller, Alex Edelstein, Sarah Joann Aerni, Mehmet Ezbiderli
  • Patent number: 11983650
    Abstract: Methods, systems, apparatuses, devices, and computer program products are described. An intelligent routing system may route a data object to a path in a process flow using a model, such as a machine-learned model. The system may receive a first data object and may route the first data object along a path of the process flow using a random routing procedure, for example, for model training. The routing may involve performing operations based on the path and the features of the first data object. The system may update one or more models based on an outcome of the operations. Following training, the system may insert a model into the process flow at a decision point between paths. The system may receive a second data object and may route the second data object to a path using the model and based on features of the second data object.
    Type: Grant
    Filed: January 31, 2022
    Date of Patent: May 14, 2024
    Assignee: Salesforce, Inc.
    Inventors: Sarah Joann Aerni, Zineb Laraki, Penny Tselikis, Till Christian Bergmann, Michael Weil, Christian Posse, Jason Teller, Alex Edelstein, Mehmet Ezbiderli
  • Publication number: 20230244686
    Abstract: Methods, systems, apparatuses, devices, and computer program products are described. A system may identify, from an event log including log entries for a tenant of a multi-tenant database system, a pattern of log entries corresponding to main actions and satisfying a frequency threshold. The system may identify log entries associated with the pattern and corresponding to the main actions, detailed actions, or both. The system may retrieve data corresponding to a history field of a data object associated with the pattern and may determine at least a portion of a process flow for the data object according to the pattern and based on the log entries and the historical data. The process flow may include operations to perform using the data object. In some cases, the system may transmit, to a user device, an indication of the portion of the process flow for user review and implementation.
    Type: Application
    Filed: January 31, 2022
    Publication date: August 3, 2023
    Inventors: Zineb Laraki, Penny Tselikis, Till Christian Bergmann, Michael Weil, Christian Posse, Jason Teller, Alex Edelstein, Sarah Joann Aerni, Mehmet Ezbiderli
  • Publication number: 20230245010
    Abstract: Methods, systems, apparatuses, devices, and computer program products are described. An intelligent routing system may route a data object to a path in a process flow using a model, such as a machine-learned model. The system may receive a first data object and may route the first data object along a path of the process flow using a random routing procedure, for example, for model training. The routing may involve performing operations based on the path and the features of the first data object. The system may update one or more models based on an outcome of the operations. Following training, the system may insert a model into the process flow at a decision point between paths. The system may receive a second data object and may route the second data object to a path using the model and based on features of the second data object.
    Type: Application
    Filed: January 31, 2022
    Publication date: August 3, 2023
    Inventors: Sarah Joann Aerni, Zineb Laraki, Penny Tselikis, Till Christian Bergmann, Michael Weil, Christian Posse, Jason Teller, Alex Edelstein, Mehmet Ezbiderli