Patents by Inventor Jéssica Costa da Rocha

Jéssica Costa da Rocha 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).

  • Machine learning based application of changes in a target database system
    Patent number: 11475043
    Abstract: The present disclosure relates to a computer implemented method for applying changes into tables of a target database system using a data synchronization system, the data synchronization system being configured to automatically use at least one configurable parameter for applying a requested change in the target database system. The method provides a trained machine learning model, the machine learning model being configured to adjust the at least one configurable parameter based on a workload level. The method determines a current workload level at the target database system and uses the machine learning model for adjusting the at least one configurable parameter according to the determined workload level.
    Type: Grant
    Filed: March 5, 2021
    Date of Patent: October 18, 2022
    Assignee: International Business Machines Corporation
    Inventors: Dennis Butterstein, Adnan Ahmad, Jéssica Costa da Rocha, Samy Tafasca, Vassil Radkov Dimov, Zeyuan Zhang
  • MACHINE LEARNING BASED APPLICATION OF CHANGES IN A TARGET DATABASE SYSTEM
    Publication number: 20220284035
    Abstract: The present disclosure relates to a computer implemented method for applying changes into tables of a target database system using a data synchronization system, the data synchronization system being configured to automatically use at least one configurable parameter for applying a requested change in the target database system. The method provides a trained machine learning model, the machine learning model being configured to adjust the at least one configurable parameter based on a workload level. The method determines a current workload level at the target database system and uses the machine learning model for adjusting the at least one configurable parameter according to the determined workload level.
    Type: Application
    Filed: March 5, 2021
    Publication date: September 8, 2022
    Inventors: Dennis Butterstein, Adnan Ahmad, Jéssica Costa da Rocha, Samy Tafasca, Vassil Radkov Dimov, Zeyuan Zhang