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).
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Patent number: 12585626Abstract: 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: GrantFiled: June 24, 2024Date of Patent: March 24, 2026Assignee: KPMG LLPInventors: 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
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Publication number: 20250094395Abstract: 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: ApplicationFiled: June 24, 2024Publication date: March 20, 2025Inventors: 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
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Patent number: 12019596Abstract: 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: GrantFiled: January 13, 2023Date of Patent: June 25, 2024Assignee: KPMG LLPInventors: 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
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Publication number: 20230267105Abstract: 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: ApplicationFiled: January 13, 2023Publication date: August 24, 2023Inventors: 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
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Patent number: 11556510Abstract: 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: GrantFiled: February 18, 2022Date of Patent: January 17, 2023Assignee: KPMG LLPInventors: 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
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Patent number: 9047156Abstract: 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: GrantFiled: July 14, 2010Date of Patent: June 2, 2015Assignee: Accenture Global Services LimitedInventors: Erik Ernst, Dwight A. Tipton, Scott A. Choquette
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Publication number: 20110016414Abstract: 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: ApplicationFiled: July 14, 2010Publication date: January 20, 2011Applicant: Accenture Global Services GmbHInventors: Erik Ernst, Dwight A. Tipton, Scott A. Choquette
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Publication number: 20090107221Abstract: 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: ApplicationFiled: July 2, 2004Publication date: April 30, 2009Inventors: Alfred Ernst, Erik Ernst
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Patent number: D326437Type: GrantFiled: November 9, 1990Date of Patent: May 26, 1992Assignee: R82Inventors: Poul Kuhl, Flemming Moeller, Erik Ernst
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Patent number: D327041Type: GrantFiled: November 9, 1990Date of Patent: June 16, 1992Assignee: R82Inventors: Poul Kuhl, Flemming Moeller, Erik Ernst
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Patent number: D347604Type: GrantFiled: September 11, 1992Date of Patent: June 7, 1994Assignee: R82 A/SInventors: Erik Ernst, Flemming Moeller