
The demand for vast amounts of data to train artificial intelligence (AI) models is soaring, putting pressure on traditional real-world data resources, which are becoming increasingly scarce. In response to this pressing challenge, synthetic data—computer-generated data that mimics real-world datasets—has emerged as a promising solution. This innovative approach allows for the creation of large volumes of data at relatively low










