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We've rolled out a new capability in the GenRocket Connect partner portal that makes deal registration and tracking a lot simpler - and we want you to start using it right away. What's new You can now register leads directly from GenRocket Connect and track them end-to-end as they move through approval, qualification, and into closed deals. Eve...

As AI initiatives compete for budget and resources, many organizations are overlooking a significant source of potential savings: legacy Test Data Management (TDM) operations. GenRocket has developed a new Economic Framework for Legacy Test Data Management (TDM) Modernization, the introduction of its Data Quality Evolution™ strategy, and the l...

As organizations increase investments in AI, automation, and digital transformation, technology leaders are looking for ways to redirect spending from legacy infrastructure to innovation. Test Data Management (TDM) is increasingly part of that discussion. Many legacy TDM environments rely on production-data-dependent architectures that drive unn...

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...