Synthetic data is artificially created information that mimics real-world datasets. It helps train AI without using sensitive or limited real data. By generating diverse and controlled datasets, AI models can learn efficiently and safely. Industries like healthcare, finance, and autonomous vehicles use synthetic data to simulate rare events, test scenarios, and improve model performance. This approach reduces costs, protects privacy, and accelerates AI development.
**Key takeaway:** Fake data can safely train real AI.