Data Synthesis

The process of generating artificial or augmented datasets that mimic real-world scenarios for use in simulations. This involves creating synthetic data that maintains statistical and structural properties similar to actual data, enabling accurate modeling, training of AI/ML models, and testing of systems without relying solely on real-world data collection.