Deep Dive: Gretel's Evaluate API & Synthetic Data Quality Scoring

We’re hosting a deep dive on our new API, Gretel Evaluate, which generates a Synthetic Data Quality Score (SQS) report for any synthetic dataset by comparing it against real-world data. 

Our lead developer advocate, Mason Egger, will be joined by two members of our applied AI research, principal ML scientist, Amy Steier, and senior applied scientist, Lipika Ramaswamy. Among other topics, they'll tackle:

• Performance metrics for evaluating the quality of data
• How to interpret data quality scores
• Use cases for both low fidelity and high fidelity data

For some background on Gretel Evaluate, check out this blog post. You can also learn more about our synthetic data quality scoring system here. 

Wednesday, August 3, 2022
Starts at 12:30pm PST / 3:30pm EST