Gretel's Workflow Builder Streamlines Multi-Step Synthetic Data Generation for Financial Services

Gretel has launched a new feature called Workflow Builder, designed to simplify the process of creating complex, multi-step synthetic data workflows. This tool enables users to visually chain together multiple synthetic data models in a few clicks without needing to manually edit code-based YAML configurations. The Workflow Builder can be used to tackle common challenges in the financial sector, such as creating privacy-preserving synthetic data for analytics and better AI model training. By automating synthetic data generation, users can maintain up-to-date synthetic data with minimal human intervention, improving overall AI efficiency and power continuous improvement.