Patents by Inventor Venkat Sai Tatituri

Venkat Sai Tatituri 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).

  • Systems and methods for intelligent field matching and anomaly detection
    Patent number: 11915195
    Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: February 27, 2024
    Assignee: Oracle International Corporation
    Inventors: Venkat Sai Tatituri, Amir Hossein Rezaeian, Ram Razdan, Beat Nuolf, Shintaro Okuda, James Edward Bridges, Joseph Michael Albowicz
  • SYSTEMS AND METHODS FOR INTELLIGENT FIELD MATCHING AND ANOMALY DETECTION
    Publication number: 20220351132
    Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.
    Type: Application
    Filed: June 28, 2022
    Publication date: November 3, 2022
    Applicant: Oracle International Corporation
    Inventors: Venkat Sai Tatituri, Amir Hossein Rezaeian, Ram Razdan, Beat Nuolf, Shintaro Okuda, James Edward Bridges, Joseph Michael Albowicz
  • Systems and methods for intelligent field matching and anomaly detection
    Patent number: 11392894
    Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.
    Type: Grant
    Filed: September 13, 2019
    Date of Patent: July 19, 2022
    Assignee: Oracle International Corporation
    Inventors: Venkat Sai Tatituri, Amir Hossein Rezaeian, Ram Razdan, Beat Nuolf, Shintaro Okuda, James Edward Bridges, Joseph Michael Albowicz