AI models require large amounts of data during the training phase, otherwise, models will be biased and perform poorly on given tasks. Although vendors sell datasets to remedy this, datasets are not available for all domains. IT teams tasked with AI responsibilities can use synthetic data generation to train AI models for data-scarce domains to create high-quality datasets on the cheap and fast-track AI model deployment.