Patents by Inventor Joseph Michael Albowicz

Joseph Michael Albowicz 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
  • Systems and methods for intelligently predicting accurate combinations of values presentable in data fields
    Patent number: 11238223
    Abstract: The present disclosure relates to systems and methods for providing an interface that displays a prediction of remaining code segments of a code comprised of a sequence of code segments. The remaining code segments may be automatically predicted in response to the interface receiving a user's input of at least a portion of a code segment (or a user input of other data elements that are not code segments). Predicting the remaining code segments may be performed using a trained machine-learning model that can generate output(s) predictive of remaining code segments in response to a user inputting at least one code segment of a code into an input element of the interface.
    Type: Grant
    Filed: September 13, 2019
    Date of Patent: February 1, 2022
    Assignee: ORACLE INTERNATIONAL CORPORATION
    Inventors: Beat Nuolf, Amir Hossein Rezaeian, Terence Joseph Munday, Joseph Michael Albowicz, Brian David MacDonald
  • SYSTEMS AND METHODS FOR INTELLIGENTLY PREDICTING ACCURATE COMBINATIONS OF VALUES PRESENTABLE IN DATA FIELDS
    Publication number: 20200125635
    Abstract: The present disclosure relates to systems and methods for providing an interface that displays a prediction of remaining code segments of a code comprised of a sequence of code segments. The remaining code segments may be automatically predicted in response to the interface receiving a user's input of at least a portion of a code segment (or a user input of other data elements that are not code segments). Predicting the remaining code segments may be performed using a trained machine-learning model that can generate output(s) predictive of remaining code segments in response to a user inputting at least one code segment of a code into an input element of the interface.
    Type: Application
    Filed: September 13, 2019
    Publication date: April 23, 2020
    Applicant: Oracle International Corporation
    Inventors: Beat Nuolf, Amir Hossein Rezaeian, Terrence Joseph Munday, Joseph Michael Albowicz, Brian David MacDonald
  • SYSTEMS AND METHODS FOR INTELLIGENT FIELD MATCHING AND ANOMALY DETECTION
    Publication number: 20200126037
    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: September 13, 2019
    Publication date: April 23, 2020
    Applicant: Oracle International Corporation
    Inventors: Vankat Sai Tatituri, Amir Hossein Rezaeian, Ram Razdan, Beat Nuolf, Shintaro Okuda, James Edward Bridges, Joseph Michael Albowicz