Patents by Inventor Norbert Adear

Norbert Adear 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).

  • Automatically detecting data anomalies using artificial intelligence techniques
    Patent number: 12367530
    Abstract: Methods, apparatus, and processor-readable storage media for automatically detecting data anomalies using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to multiple tasks associated with at least one enterprise; detecting one or more data anomalies by predicting one or more values within the obtained data by processing at least a portion of the obtained data using one or more artificial intelligence techniques, and comparing the one or more predicted values to one or more corresponding portions of the obtained data; generating one or more data recommendations associated with at least a portion of the one or more detected data anomalies; and performing one or more automated actions based at least in part on at least one of the one or more detected data anomalies and the one or more generated data recommendations.
    Type: Grant
    Filed: June 9, 2023
    Date of Patent: July 22, 2025
    Assignee: Dell Products, L.P.
    Inventors: Norbert Adear, Abhishek Sharma, Prateek Srivastava, Luis Arturo Perez, Rajesh Kumar, Eoin Fitzgerald, Anvesh Kalia, Devisha Gupta, Karol Bocko, John Denton, Rosalind Granado, Manjunatha B
  • AUTOMATICALLY DETECTING DATA ANOMALIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES
    Publication number: 20240412298
    Abstract: Methods, apparatus, and processor-readable storage media for automatically detecting data anomalies using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to multiple tasks associated with at least one enterprise; detecting one or more data anomalies by predicting one or more values within the obtained data by processing at least a portion of the obtained data using one or more artificial intelligence techniques, and comparing the one or more predicted values to one or more corresponding portions of the obtained data; generating one or more data recommendations associated with at least a portion of the one or more detected data anomalies; and performing one or more automated actions based at least in part on at least one of the one or more detected data anomalies and the one or more generated data recommendations.
    Type: Application
    Filed: June 9, 2023
    Publication date: December 12, 2024
    Inventors: Norbert Adear, Abhishek Sharma, Prateek Srivastava, Luis Arturo Perez, Rajesh Kumar, Eoin Fitzgerald, Anvesh Kalia, Devisha Gupta, Karol Bocko, John Denton, Rosalind Granado, Manjunatha B