synthetic data generation

Synthetic data generation involves creating artificial data that mimics real-world data without exposing any sensitive information. This process uses algorithms to produce new data points—such as images, numbers, or texts—that reflect the patterns and characteristics of actual data. It helps organizations analyze, train machine learning models, or test systems while preserving privacy. Think of it as creating a realistic “fake” version of data that is useful for developing and improving technology without risking personal or confidential information.