Patents by Inventor Carl Meister

Carl Meister 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 anomaly detection mechanism
    Patent number: 11755725
    Abstract: Techniques and structures to facilitate anomaly detection within a networking system, including receiving a plurality of performance metric messages at a database system, extracting a plurality of anomaly detection messages included in the performance metric messages, storing the plurality of anomaly detection messages in an in-memory database and executing a machine learning model to process the plurality of anomaly detection messages in the in-memory database to detect whether anomalous usage of the networking system has been detected.
    Type: Grant
    Filed: January 30, 2019
    Date of Patent: September 12, 2023
    Assignee: Salesforce, Inc.
    Inventors: Amey Ruikar, Carl Meister, Tony Wong, Charles Kuo, Aishwarya Kumar, Wayne Rantala, Shailesh Govande
  • MACHINE LEARNING ANOMALY DETECTION MECHANISM
    Publication number: 20200242240
    Abstract: Techniques and structures to facilitate anomaly detection within a networking system, including receiving a plurality of performance metric messages at a database system, extracting a plurality of anomaly detection messages included in the performance metric messages, storing the plurality of anomaly detection messages in an in-memory database and executing a machine learning model to process the plurality of anomaly detection messages in the in-memory database to detect whether anomalous usage of the networking system has been detected
    Type: Application
    Filed: January 30, 2019
    Publication date: July 30, 2020
    Inventors: Amey Ruikar, Carl Meister, Tony Wong, Charles Kuo, Aishwarya Kumar, Wayne Rantala, Shailesh Govande