By 2022, Gartner estimates
that over 25% of AI training data will be synthetic. Insurance providers, banks, telcos, and other fast-moving industries already prefer synthetic training data. Why? Synthetic data is better than real data when it comes to AI training. AI models need the right data to be able to learn patterns thoroughly. Synthetic data generation can upsample rare events, resulting in an up to 15% improvement in AI performance. Using upsampled synthetic data leads to better anomaly detection, such as fraud.