Synthetic data is artificially generated information that mimics the statistical properties and patterns of real data without containing actual client or business records. In financial services, synthetic data is used to train and test AI models without exposing sensitive client information, addressing privacy concerns and regulatory requirements around data protection. High-quality synthetic data maintains the characteristics of real adviser-client conversations or compliance scenarios, enabling robust model development whilst preserving confidentiality.
