The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 28, 2023

Filed:

Oct. 04, 2018
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Anh Truong, Champaign, IL (US);

Fardin Abdi Taghi Abad, Champaign, IL (US);

Jeremy Goodsitt, Champaign, IL (US);

Austin Walters, Savoy, IL (US);

Mark Watson, Urbana, IL (US);

Vincent Pham, Champaign, IL (US);

Noriaki Tatsumi, Silver Spring, MD (US);

Michael Walters, Brooklyn, NY (US);

Kate Key, Effingham, IL (US);

Reza Farivar, Champaign, IL (US);

Kenneth Taylor, Champaign, IL (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 5/00 (2006.01); G06N 5/02 (2006.01); G06F 21/62 (2013.01); G06N 20/00 (2019.01); G06F 9/54 (2006.01); G06F 17/16 (2006.01); G06N 3/04 (2006.01); G06F 11/36 (2006.01); G06N 5/04 (2006.01); G06F 17/15 (2006.01); G06T 7/194 (2017.01); G06T 7/254 (2017.01); G06T 7/246 (2017.01); G06F 16/2455 (2019.01); G06F 16/22 (2019.01); G06F 16/28 (2019.01); G06F 16/906 (2019.01); G06F 16/93 (2019.01); G06F 16/903 (2019.01); G06F 16/9038 (2019.01); G06F 16/9032 (2019.01); G06N 3/088 (2023.01); G06F 16/25 (2019.01); G06F 16/335 (2019.01); G06F 16/242 (2019.01); G06F 16/248 (2019.01); G06F 30/20 (2020.01); G06F 40/166 (2020.01); G06F 40/117 (2020.01); G06F 40/20 (2020.01); G06F 8/71 (2018.01); G06F 17/18 (2006.01); G06F 21/55 (2013.01); G06F 21/60 (2013.01); G06K 9/62 (2022.01); G06N 7/00 (2023.01); G06Q 10/04 (2023.01); G06T 11/00 (2006.01); H04L 9/40 (2022.01); H04L 67/306 (2022.01); H04L 67/00 (2022.01); H04N 21/234 (2011.01); H04N 21/81 (2011.01); G06V 10/70 (2022.01); G06V 10/98 (2022.01); G06V 30/194 (2022.01); G06V 30/196 (2022.01);
U.S. Cl.
CPC ...
G06F 21/6254 (2013.01); G06F 8/71 (2013.01); G06F 9/54 (2013.01); G06F 9/541 (2013.01); G06F 9/547 (2013.01); G06F 11/3608 (2013.01); G06F 11/3628 (2013.01); G06F 11/3636 (2013.01); G06F 16/2237 (2019.01); G06F 16/2264 (2019.01); G06F 16/248 (2019.01); G06F 16/2423 (2019.01); G06F 16/24568 (2019.01); G06F 16/254 (2019.01); G06F 16/258 (2019.01); G06F 16/283 (2019.01); G06F 16/285 (2019.01); G06F 16/288 (2019.01); G06F 16/335 (2019.01); G06F 16/906 (2019.01); G06F 16/9038 (2019.01); G06F 16/90332 (2019.01); G06F 16/90335 (2019.01); G06F 16/93 (2019.01); G06F 17/15 (2013.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06F 21/552 (2013.01); G06F 21/60 (2013.01); G06F 21/6245 (2013.01); G06F 30/20 (2020.01); G06F 40/117 (2020.01); G06F 40/166 (2020.01); G06F 40/20 (2020.01); G06K 9/6215 (2013.01); G06K 9/6218 (2013.01); G06K 9/6227 (2013.01); G06K 9/6231 (2013.01); G06K 9/6232 (2013.01); G06K 9/6253 (2013.01); G06K 9/6256 (2013.01); G06K 9/6257 (2013.01); G06K 9/6262 (2013.01); G06K 9/6265 (2013.01); G06K 9/6267 (2013.01); G06K 9/6269 (2013.01); G06K 9/6277 (2013.01); G06N 3/04 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/088 (2013.01); G06N 5/00 (2013.01); G06N 5/02 (2013.01); G06N 5/04 (2013.01); G06N 7/00 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06T 7/194 (2017.01); G06T 7/246 (2017.01); G06T 7/248 (2017.01); G06T 7/254 (2017.01); G06T 11/001 (2013.01); G06V 10/768 (2022.01); G06V 10/993 (2022.01); G06V 30/194 (2022.01); G06V 30/1985 (2022.01); H04L 63/1416 (2013.01); H04L 63/1491 (2013.01); H04L 67/306 (2013.01); H04L 67/34 (2013.01); H04N 21/23412 (2013.01); H04N 21/8153 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A cloud computing system can be configured to generate data models. A model optimizer of the cloud computing system can provision computing resources of the cloud computing system with a data model. A dataset generator of the cloud computing system can generate a synthetic dataset for training the data model. The computing resources can train the data model using the synthetic dataset. The model optimizer can store the data model and metadata of the data model in a model storage. The cloud computing system can receive production data from a data source by a production instance of the cloud computing system using a common file system. The production data can be processed using the data model by the production instance. The computing resources, the dataset generator, and the model optimizer can be hosted by separate virtual computing instances of the cloud computing system.


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