Explained: What is Synthetic Data? #ai #artificialintelligence #machinelearning #aiagent Explained

Synthetic data is artificially generated information that mimics real-world data. Unlike real data, which is collected through direct observation or interaction, synthetic data is created through algorithms and simulations. There are three primary types: generated, which is fully synthetic; anonymized, where real data is masked; and hybrid, a mix of both. The main advantage of synthetic data is its ability to preserve privacy while offering a wide range of data scenarios for model training. It's particularly useful in testing environments where data variability is crucial.