What is Synthetic Data Generation?

Synthetic Data Generation involves creating artificial data that mimics the statistical properties of real-world data. It is commonly used to train machine learning models when real data is scarce, sensitive, or expensive to obtain. This technology helps to improve model accuracy, protect privacy, and accelerate development cycles by providing a readily available and controllable dataset.