What is Synthetic Data?
Synthetic data is artificially generated datasets that preserve statistical properties and patterns of originals but contain no real personal data. According to Gartner, by 2030 synthetic data will constitute the majority of AI training data.
Generation methods
Main approaches: GANs (Generative Adversarial Networks), diffusion models (especially for images), statistical rules (generation based on probability distributions), and LLMs (generating texts, test scenarios, conversations).
Enterprise benefits
Synthetic data solves three key problems: privacy (no personal data = no GDPR issue), availability (you can generate millions of records from just thousands), and balance (equalizing uneven classes — e.g., rare fraud cases become well-represented).