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Generative AI for Synthetic Data

Generative AI for Synthetic Data

Gartner
Pages 1 Pages

The report highlights challenges leading to AI-generated synthetic data adoption: accessibility (60%), complexity (57%), and availability (51%) of real-world data. Partially synthetic data, primarily text-based, is common. Benefits include improved model accuracy and efficiency. Challenges persist, such as deficiencies in real-world data and inherited bias. Best practices, like using multiple data sources and validating datasets, ensure quality.

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