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We are pleased to share Part 2 of our blog series on leveraging generative AI (GenAI) for synthetic data generation. This installment focuses on the scalability requirements for managing the full data provisioning life cycle in a global enterprise setting.   Here are some key insights from the article: Scalable Framework: ...

In a new 3-Part blog series, we dive into the transformative impact of Generative AI (GenAI) on enterprise synthetic data generation. With 98% of Fortune 1000 companies exploring GenAI, it’s crucial to navigate its benefits and risks effectively. Part 1: Data Quality and Complexity Discover how GenAI is impacting the generation of synthetic...

Provisioning test data for workflow testing is a significant challenge for enterprise quality engineering organizations. Ensuring the right data to validate online transaction workflows can be complex and time-consuming, leading to inefficiencies and potential errors. Our latest blog post addresses these challenges and explains how GenRocket’s Te...

We are thrilled to announce the release of GenRocket's latest innovation, G-Families. This groundbreaking technology simplifies the design and deployment of synthetic datasets for testing complex database environments, addressing significant challenges faced by testers and developers. Challenges in Modern Data Environments: In today's intricate d...