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More engineering teams are using large language models to generate synthetic test data. It's fast, and the output often looks convincing. But two limitations are becoming increasingly difficult to ignore. The Hallucination Problem LLMs generate data through statistical prediction, not business logic. That means records can violate busin...

Healthcare organizations are investing heavily in AI, but many are discovering that access to quality data remains one of the biggest barriers to success. Privacy regulations, compliance requirements, data governance concerns, and inconsistent production datasets often limit the ability to effectively train, test, and validate AI initiatives. In...