Patents by Inventor Inge VEJSBJERG

Inge VEJSBJERG 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).

  • Linking actions to machine learning prediction explanations
    Patent number: 11645575
    Abstract: Embodiments for recommending actions to improve machine learning predictions by a processor. One or more recommended actions may be linked to one or more features that influence a predicted outcome of a prediction model of a machine learning operation. One or more features having one or more negative factors that negatively impact the predicted outcome of the prediction model may be determined and selected. One or more of the linked recommended actions may be applied to one or more of the features to mitigate a negative impact upon the predicted outcome of the prediction model.
    Type: Grant
    Filed: January 3, 2019
    Date of Patent: May 9, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Elizabeth Daly, Oznur Alkan, Massimiliano Mattetti, Inge Vejsbjerg
  • Intelligent automation of self service product identification and delivery
    Patent number: 11514458
    Abstract: Embodiments for implementing intelligent automation of opportunity transaction workflows by a processor. One or more tasks identified in an existing transaction opportunity workflow suitable for automation may be automated in a current transaction opportunity workflow. The automated tasks may be scheduled and executed in the current transaction opportunity workflow. The automated tasks in the current transaction opportunity workflow may be monitored.
    Type: Grant
    Filed: October 14, 2019
    Date of Patent: November 29, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Bei Chen, Adi Botea, Elizabeth Daly, Oznur Alkan, Inge Vejsbjerg, Massimiliano Mattetti
  • Intelligent dialog re-elicitation of information
    Patent number: 11275902
    Abstract: Various embodiments are provided for providing intelligent dialog re-elicitation in a dialog system in a computing environment by a processor. Information, provided during a dialog using the dialog system, may be detected that has been subsequently revised. One or more variables impacted by the revised information provided during the dialog may be dynamically re-elicited.
    Type: Grant
    Filed: October 21, 2019
    Date of Patent: March 15, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Adi Botea, Oznur Alkan, Elizabeth Daly, Massimiliano Mattetti, Pablo Pedemonte, Abel Nicolas Valente, Inge Vejsbjerg
  • INTELLIGENT DIALOG RE-ELICITATION OF INFORMATION
    Publication number: 20210117506
    Abstract: Various embodiments are provided for providing intelligent dialog re-elicitation in a dialog system in a computing environment by a processor. Information, provided during a dialog using the dialog system, may be detected that has been subsequently revised. One or more variables impacted by the revised information provided during the dialog may be dynamically re-elicited.
    Type: Application
    Filed: October 21, 2019
    Publication date: April 22, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Adi BOTEA, Oznur ALKAN, Elizabeth DALY, Massimiliano MATTETTI, Pablo PEDEMONTE, Abel Nicolas VALENTE, Inge VEJSBJERG
  • INTELLIGENT AUTOMATION OF SELF SERVICE PRODUCT IDENTIFICATION AND DELIVERY
    Publication number: 20210110394
    Abstract: Embodiments for implementing intelligent automation of opportunity transaction workflows by a processor. One or more tasks identified in an existing transaction opportunity workflow suitable for automation may be automated in a current transaction opportunity workflow. The automated tasks may be scheduled and executed in the current transaction opportunity workflow. The automated tasks in the current transaction opportunity workflow may be monitored.
    Type: Application
    Filed: October 14, 2019
    Publication date: April 15, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Bei CHEN, Adi BOTEA, Elizabeth DALY, Oznur ALKAN, Inge VEJSBJERG, Massimiliano MATTETTI
  • LINKING ACTIONS TO MACHINE LEARNING PREDICTION EXPLANATIONS
    Publication number: 20200219004
    Abstract: Embodiments for recommending actions to improve machine learning predictions by a processor. One or more recommended actions may be linked to one or more features that influence a predicted outcome of a prediction model of a machine learning operation. One or more features having one or more negative factors that negatively impact the predicted outcome of the prediction model may be determined and selected. One or more of the linked recommended actions may be applied to one or more of the features to mitigate a negative impact upon the predicted outcome of the prediction model.
    Type: Application
    Filed: January 3, 2019
    Publication date: July 9, 2020
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Elizabeth DALY, Oznur ALKAN, Massimiliano MATTETTI, Inge VEJSBJERG