Systems and methods for synthetic data generation

US11615208B2 · kind B2 · utility

Assignee

• CAPITAL ONE SERVICES, LLC · US

Inventors

• Anh Truong · Champaign, US
• Fardin Abdi Taghi Abad · Champaign, US
• Jeremy Goodsitt · Champaign, US
• Austin Walters · McLean, US
• Mark Watson · Philadelphia, US
• Vincent Pham · Champaign, US
• Noriaki Tatsumi · Silver Spring, US
• Michael D. Walters · Brooklyn, US
• Kate Key · Effingham, US
• Reza Farivar · Champaign, US
• Kenneth Taylor · Champaign, US

Key dates

• Filing date: Oct 4, 2018
• Grant date: Mar 28, 2023
• Expiry date: Jan 29, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20084
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.