Patents by Inventor Karen Sutthakorn

Karen Sutthakorn 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).

  • Methods and systems for configuring communication decision trees based on connected positionable elements on canvas
    Patent number: 11900267
    Abstract: Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree. The decision nodes can support successive iteration of AI models to dynamically define iteration data that corresponds to a trajectory through the tree.
    Type: Grant
    Filed: October 24, 2022
    Date of Patent: February 13, 2024
    Assignee: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn
  • METHODS AND SYSTEMS FOR CONFIGURING COMMUNICATION DECISION TREES BASED ON CONNECTED POSITIONABLE ELEMENTS ON CANVAS
    Publication number: 20230061498
    Abstract: Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree. The decision nodes can support successive iteration of AI models to dynamically define iteration data that corresponds to a trajectory through the tree.
    Type: Application
    Filed: October 24, 2022
    Publication date: March 2, 2023
    Applicant: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn
  • DIRECTED TRAJECTORIES THROUGH COMMUNICATION DECISION TREE USING ITERATIVE ARTIFICIAL INTELLIGENCE
    Publication number: 20230059328
    Abstract: Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree.
    Type: Application
    Filed: October 24, 2022
    Publication date: February 23, 2023
    Applicant: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn
  • Machine-learning-based processing of de-obfuscated data for data enrichment
    Patent number: 11531906
    Abstract: Embodiments relate to de-obfuscated data to process at one or more artificial-intelligence (AI) decision nodes throughout a communication decision tree. Through processing directed by the communication decision tree, additional de-obfuscated data is collected and securely transmitted in de-obfuscated or re-obfuscated form to enrich underlying data structures.
    Type: Grant
    Filed: October 2, 2020
    Date of Patent: December 20, 2022
    Assignee: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn
  • Methods and systems for configuring communication decision trees based on connected positionable elements on canvas
    Patent number: 11481641
    Abstract: Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree. The decision nodes can support successive iteration of AI models to dynamically define iteration data that corresponds to a trajectory through the tree.
    Type: Grant
    Filed: June 13, 2018
    Date of Patent: October 25, 2022
    Assignee: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn
  • Directed trajectories through communication decision tree using iterative artificial intelligence
    Patent number: 11481640
    Abstract: Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree. The decision nodes can support successive iteration of AI models to dynamically define iteration data that corresponds to a trajectory through the tree.
    Type: Grant
    Filed: June 13, 2018
    Date of Patent: October 25, 2022
    Assignee: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn
  • MACHINE-LEARNING-BASED PROCESSING OF DE-OBFUSCATED DATA FOR DATA ENRICHMENT
    Publication number: 20210042630
    Abstract: Embodiments relate to de-obfuscated data to process at one or more artificial-intelligence (AI) decision nodes throughout a communication decision tree. Through processing directed by the communication decision tree, additional de-obfuscated data is collected and securely transmitted in de-obfuscated or re-obfuscated form to enrich underlying data structures.
    Type: Application
    Filed: October 2, 2020
    Publication date: February 11, 2021
    Applicant: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn
  • Machine-learning-based processing of de-obfuscated data for data enrichment
    Patent number: 10796228
    Abstract: Embodiments relate to de-obfuscated data to process at one or more artificial-intelligence (AI) decision nodes throughout a communication decision tree. Through processing directed by the communication decision tree, additional de-obfuscated data is collected and securely transmitted in de-obfuscated or re-obfuscated form to enrich underlying data structures.
    Type: Grant
    Filed: June 13, 2018
    Date of Patent: October 6, 2020
    Assignee: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn
  • DIRECTED TRAJECTORIES THROUGH COMMUNICATION DECISION TREE USING ITERATIVE ARTIFICIAL INTELLIGENCE
    Publication number: 20190102679
    Abstract: Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree.
    Type: Application
    Filed: June 13, 2018
    Publication date: April 4, 2019
    Applicant: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn
  • MACHINE-LEARNING-BASED PROCESSING OF DE-OBFUSCATED DATA FOR DATA ENRICHMENT
    Publication number: 20190102574
    Abstract: Embodiments relate to de-obfuscated data to process at one or more artificial-intelligence (AI) decision nodes throughout a communication decision tree. Through processing directed by the communication decision tree, additional de-obfuscated data is collected and securely transmitted in de-obfuscated or re-obfuscated form to enrich underlying data structures.
    Type: Application
    Filed: June 13, 2018
    Publication date: April 4, 2019
    Applicant: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn
  • METHODS AND SYSTEMS FOR CONFIGURING COMMUNICATION DECISION TREES BASED ON CONNECTED POSITIONABLE ELEMENTS ON CANVAS
    Publication number: 20190102698
    Abstract: Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree. The decision nodes can support successive iteration of AI models to dynamically define iteration data that corresponds to a trajectory through the tree.
    Type: Application
    Filed: June 13, 2018
    Publication date: April 4, 2019
    Applicant: Oracle International Corporation
    Inventors: Tara U. Roberts, Jonathan Stanesby, Michael Pearmain, Kevin Yordy, Karen Sutthakorn