Join us in this tutorial as we delve into the revolutionary privacy-enhancing technology of privacy-safe synthetic data generation using MOSTLY AI's state-of-the-art synthetic data platform.
➡️ Discover how the platform utilizes state-of-the-art privacy mechanisms to anonymize and safeguard your data while maintaining its utility and integrity.
➡️ Learn about the innovative techniques employed by MOSTLY AI to create highly realistic, synthetic data that ensures privacy without compromising on accuracy.
➡️ Understand the training process and explore various privacy safeguards, like rare category values and extreme value protection.
🖇️ Sign up for your free synthetic data generation account here: https://bit.ly/3GyDSHC
🖇️ Learn more about data anonymization tools and how to choose the best method for your needs from this blogpost: https://bit.ly/3TjF4GJ
Key Moments with Time Stamps:
00:01 - Introduction to Synthetic Data and MOSTLY AI
00:08 - Overview of Privacy Mechanisms in MOSTLY AI
00:16 - Balancing Data Utility and Privacy
00:27 - Training Generative AI Models with Original Data
00:46 - Ensuring No Direct Relationship with Source Data
00:59 - Behind the Scenes: Synthetic Data Generation Process
01:07 - Data Distribution Replication in Synthetic Data
01:34 - Built-in Safeguards for Data Privacy
01:49 - Overfitting Prevention and Individual Record Protection
02:02 - Handling Rare Category Values and Extreme Values
02:23 - Special Measures for Time Series Data
02:38 - Default Privacy Settings and Data Retention Policy
02:51 - How to Get Started with MOSTLY AI