Synthetic Data is artificially generated data created to mimic real-world data. It is used to train AI models when real data is unavailable, limited, or sensitive.
Synthetic data can be used to simulate customer transactions for testing fraud detection systems without exposing actual user information.
It is valuable for improving privacy, reducing bias, and generating diverse datasets for AI training.