What is synthetic data?

Synthetic data refers to artificially generated data that mimics real-world data but does not contain any actual personal information or identifiable data points. It is created using algorithms, simulations, or generative models to replicate the statistical properties and patterns of real datasets. Synthetic data does not contain real personal information, it helps maintain privacy and compliance with data protection regulations like GDPR.

Synthetic data is rapidly gaining traction in machine learning as it provides a solution for training algorithms that require vast amounts of labelled data, which can be expensive to obtain or subject to strict usage restrictions under privacy regulations.