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. This addition to the Gretel Console 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 is particularly useful for financial institutions looking to create privacy-preserving synthetic data for analytics and better AI model training. By automating the process of generating synthetic data, users can maintain up-to-date datasets with minimal human intervention, improving overall AI efficiency and power continuous improvement.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Model Fine-tuning | 5 | 685 | 161 | 75 | -31% |
| Data Pipeline | 1 | 1,437 | 344 | 74 | +109% |
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