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In 2025, the data being generated is in zetabytes. But only 5% of all data on the internet is publicly available. This shocking fact highlights a major challenge AI developers face today. Companies are rushing to build smarter AI systems, but most encounter a significant roadblock: there’s simply not enough high-quality, annotated training data.
As a result, around 85% of AI projects never reach production, and poor data quality is usually the main reason. But there’s a solution changing the game for AI teams—synthetic data for LLMs and other machine learning models—and it doesn’t cost a fortune.