Patents by Inventor Wendy Du

Wendy Du 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).

  • System and method for enriching and normalizing data
    Patent number: 12019596
    Abstract: An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.
    Type: Grant
    Filed: January 13, 2023
    Date of Patent: June 25, 2024
    Assignee: KPMG LLP
    Inventors: Niels Hanson, James Johnson Gardner, Punit S. Orpe, Wendy Du, Laurence Anthony Brown, Ranjan Vivek Mannige, David Green, Michael Ahn, Yang Zhou, Andrew Yuan, Adam Helio Rosa, Kyle B. Chen, Alex Perusse, Christian Alexander Manaog, Yeshwanth Somu, Xin Cheng, Torey C. Bearly, Raghav Saboo, Sphoorthy Pamaraju, Erik Ernst, Can Ozuretmen, Yuan Zhang
  • SYSTEM AND METHOD FOR ENRICHING AND NORMALIZING DATA
    Publication number: 20230267105
    Abstract: An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.
    Type: Application
    Filed: January 13, 2023
    Publication date: August 24, 2023
    Inventors: Niels Hanson, James Johnson Gardner, Punit S. Orpe, Wendy Du, Laurence Anthony Brown, JR., Ranjan Vivek Mannige, David Green, Michael Ahn, Yang Zhou, Andrew Yuan, Adam Helio Rosa, Kyle B. Chen, Alex Perusse, Christian Alexander Manaog, Yeshwanth Somu, Xin Cheng, Torey C. Bearly, Raghav Saboo, Sphoorthy Pamaraju, Erik Ernst, Can Ozuretmen, Yuan Zhang
  • System and method for enriching and normalizing data
    Patent number: 11556510
    Abstract: An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.
    Type: Grant
    Filed: February 18, 2022
    Date of Patent: January 17, 2023
    Assignee: KPMG LLP
    Inventors: Niels Hanson, James Johnson Gardner, Punit S. Orpe, Wendy Du, Laurence Anthony Brown, Ranjan Vivek Mannige, David Green, Michael Ahn, Yang Zhou, Andrew Yuan, Adam Helio Rosa, Kyle B. Chen, Alex Perusse, Christian Alexander Manaog, Yeshwanth Somu, Xin Cheng, Torey C. Bearly, Raghav Saboo, Sphoorthy Pamaraju, Erik Ernst, Can Ozuretmen, Yuan Zhang