Patents by Inventor Erik Ernst

Erik Ernst 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).

  • Patent number: 12585626
    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: June 24, 2024
    Date of Patent: March 24, 2026
    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
  • Publication number: 20250094395
    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: June 24, 2024
    Publication date: March 20, 2025
    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
  • 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
  • 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
  • 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
  • Patent number: 9047156
    Abstract: A system image customization tool provides an efficient and cost effective way to implement a highly customizable system image for a digital device. The system image customization tool controls application installation, device settings, and selection, delivery methods and licensing options for products, applications and services with minimal or no customer interaction from the customer's first out of box experience with the device and through the lifecycle use of the device. The system image customization tool provides retailers, original equipment manufacturers and products, applications and services providers a way to create new distribution channels and partnerships.
    Type: Grant
    Filed: July 14, 2010
    Date of Patent: June 2, 2015
    Assignee: Accenture Global Services Limited
    Inventors: Erik Ernst, Dwight A. Tipton, Scott A. Choquette
  • Publication number: 20110016414
    Abstract: A system image customization tool provides an efficient and cost effective way to implement a highly customizable system image for a digital device. The system image customization tool controls application installation, device settings, and selection, delivery methods and licensing options for products, applications and services with minimal or no customer interaction from the customer's first out of box experience with the device and through the lifecycle use of the device. The system image customization tool provides retailers, original equipment manufacturers and products, applications and services providers a way to create new distribution channels and partnerships.
    Type: Application
    Filed: July 14, 2010
    Publication date: January 20, 2011
    Applicant: Accenture Global Services GmbH
    Inventors: Erik Ernst, Dwight A. Tipton, Scott A. Choquette
  • Publication number: 20090107221
    Abstract: A device for detecting the depth of penetration of the tip of an indenter of a hardness tester has a terminal crown turnable and slantable with respect to a cylindrical body of a reference sleeve, terminating with two spikes extending from diametrically opposed positions of a circular end surface of the terminal crown, the vertexes of which bear on the surface of the piece to be tested. The terminal crown having an end retained within the body of the sleeve and an inner circular surface defining a cuspid along a diameter orthogonal to the diameter of alignment of said two spikes, abutting on a planar circular end surface of the retaining body of the sleeve such to determine a linear or fulcrum abutment along diametrically aligned vertexes of said cuspid. The tester uses an indenter of a hard metal or compound by periodically recalibrating a hardness tester in function of said depth of penetration originally established on a reference sample of known and homogenous hardness.
    Type: Application
    Filed: July 2, 2004
    Publication date: April 30, 2009
    Inventors: Alfred Ernst, Erik Ernst
  • Patent number: D326437
    Type: Grant
    Filed: November 9, 1990
    Date of Patent: May 26, 1992
    Assignee: R82
    Inventors: Poul Kuhl, Flemming Moeller, Erik Ernst
  • Patent number: D327041
    Type: Grant
    Filed: November 9, 1990
    Date of Patent: June 16, 1992
    Assignee: R82
    Inventors: Poul Kuhl, Flemming Moeller, Erik Ernst
  • Patent number: D347604
    Type: Grant
    Filed: September 11, 1992
    Date of Patent: June 7, 1994
    Assignee: R82 A/S
    Inventors: Erik Ernst, Flemming Moeller