Solving data bottlenecks with Agentic AI: Automate your synthetic test data

Mark Brocato, Head of Engineering for Tonic's Fabricate product, introduces Tonic's solutions for synthetic data generation, focusing on Fabricate, which creates data from scratch using AI agents. He details three approaches to synthetic data generation: production data de-identification (Tonic Structural), rules-based data synthesis (initial Fabricate release, Makaru), and agentic data generation (new Fabricate update). Brocato demonstrates Fabricate's capabilities, including generating data from schemas and API contracts, and creating workflows for repeatable tasks like pushing data to APIs. He explains how AI agents, combining LLMs with tools like SQL databases and JavaScript code, enable realistic data generation. The session concludes with a Q&A, addressing topics like data similarity, consistency across microservices, data storage security, supported LLMs, document creation, data size limitations, and specific use cases for Fabricate.