AI to generate testable synthetic data
Description
Improve integration with trade partners and reduce implementation time of new capabilties.
Detailed example
The AI capability would generate test data without PII or other trade sensitive data and allow for more accurate simulation of production data.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The purpose of using AI to generate test data for trade partners is to create more realistic data for trade partners to use for testing their systems before releasing new ACE capabilities. Currently there are many data issues where test data does not accurately reflect real production data which results in unrealistic failures when testing which result in wasted time and resources tracking down false positive errors during testing. By providing trade partners with more realistic test data the expectation is that testing times will be shorter and enhancements and capabilities can be delivered quicker.
Controls / human review
ATO: Not reported; PIA: Not published