Synthetic data is like a virtual twin of real-world information, generated artificially instead of from actual events. It’s created using clever algorithms and serves two primary purposes: validating mathematical models and training machine learning models. You can think of data generated by computer simulations, such as music synthesisers or flight simulators, as synthetic data examples.