Provisioning Synthetic Data with GenAI at Enterprise Scale

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: Learn about the essential elements of an enterprise-class test data provisioning platform.
• One Data Platform: Discover how GenRocket integrates synthetic and production data, ensuring secure and automated provisioning for solving any test data or training data challenge.
• Security and Management: Understand the advanced security features and centralized management capabilities needed for global deployment.
• Automation and Integration: See how GenRocket automates data delivery, integrates with CI/CD pipelines, and supports distributed teams with self-service portals.
• Performance and Scalability: Explore how GenRocket’s architecture supports high scalability, quickly generating large volumes of synthetic data on-demand.

Integration with GenAI

Combining GenAI’s strength for textual synthetic data generation with GenRocket’s controlled and conditioned tabular synthetic data generation offers a comprehensive solution for software testing and machine learning training data on a global scale. We invite you to read the full article for deeper insights into leveraging GenAI with GenRocket’s single platform for enterprise data provisioning.