Ideal for testing and training AI models, synthetic data is artificially created information, generated as an alternative to real-world data. It holds immense value for researchers, data scientists, and privacy advocates, as it mitigates privacy risks while still providing accurate datasets. This data type also enables the simulation of rare events for more comprehensive model training.