What is Synthetic Data?

Synthetic Data

Definition Artificially generated data that mimics the statistical properties of real-world data, used to train or evaluate AI models when real data is scarce, sensitive, or imbalanced. Synthetic data is increasingly used to bootstrap model training and augment edge cases.

In Depth

Generative models — diffusion models, GANs, and LLMs — are the primary tools for creating synthetic data. Applications include generating rare medical conditions for clinical AI training, simulating diverse driving scenarios for autonomous vehicles, and creating privacy-safe replicas of customer databases. The central concern is distributional fidelity: synthetic data must reflect the complexity of real data to produce models that generalize well.

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