What Is Synthetic Data? Synthetic data is machine-generated data based on real-world data. It requires building a machine learning (ML) model to capture the patterns in the original, real data before generating new synthetic data based on these patterns. The generated data accurately represents the original data’s statistical distributions, patterns, and properties.  Synthetic data is useful for applications facing privacy concerns – it is not regarded as personally identifiable information (PII), because it is not directly traceable to real individuals. Thus, organizations can freely share and use synthetic data with minimal technical and administrative controls. This process requires a high level of automation, relying on fewer human resources and skills…