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Generating high-quality synthetic test data with agentic AI
Agentic AI for test data generation has arrived - but what does the ideal process look like and how will it fit within your workflows? Join synthetic data pioneer Mark Brocato as he spotlights the latest capabilities of Tonic Fabricate and speaks candidly on the potential and pitfalls of AI-driven data generation. With the right tools in place, the test data you need is just an AI conversation away.
- The pros and cons of various synthetic data strategies: Understand the trade-offs between rule-based synthesis, data de-identification, and Agentic AI to select the right fit for your workflows.
- How to generate highly realistic, nuanced data: Learn how Agentic AI creates complex test data for development and testing, significantly reducing the need for deep domain expertise.
- Actionable best practices and use cases: Determine the optimal AI approach for specific development needs, from prototyping to greenfield development, and performance to load testing.
