The Endless Thirst For More DataAs the world became more digitized, it started producing and requiring increasing amounts of data. This poses a problem, as said data is often associated with real people and real companies that might have serious privacy concerns.This has become an even bigger issue with the emergence of AI, which is able not just to do statistical analysis on batches of data but also to comb through and analyze the dataset in-depth at all levels, from an individual person to billions of numerical entries.Data is now so essential to the modern economy that demand for real, high-quality data has grown exponentially. At the same time, stricter data privacy rules and ever-larger AI models have made gathering and labeling real data increasingly difficult or impractical. – IBM ResearchThis is why synthetic data was invented as a solution. Those data replicate real-world data but do not contain any private data that could cause issues. They also can be modified and adapted to specific use cases, rare situations, or anything the statistician or tester using them might need.Here too, AI has been transformative

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