AI to generate testable synthetic data

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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 enhan...