Gretel's Workflow Builder Streamlines Multi-Step Synthetic Data Generation for Financial Services
Blog post from Gretel.ai
Gretel has launched a new feature called Workflow Builder, designed to simplify the process of creating complex, multi-step synthetic data workflows. The tool enables users to visually chain together multiple synthetic data models in a few clicks without needing to manually edit code-based YAML configurations. This streamlined approach helps automate and operationalize synthetic data generation while maintaining flexibility and integration options. Workflow Builder can be used for various applications, including creating privacy-preserving synthetic data for analytics and better AI model training.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Model Fine-tuning | 5 | 628 | 146 | 67 | -32% |
| Data Pipeline | 1 | 1,400 | 332 | 68 | +111% |
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