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Gartner Research
Use Data Twins to Accelerate Delivery of AI-Ready Data
Published: 14 October 2025
Summary
As data volumes grow, data and analytics leaders increasingly struggle to efficiently create and manage AI-ready data. By implementing a data twin as a data product, you apply formal statistical sampling techniques in a governed, flexible, and reusable way. This method produces a representative subset of the full data population, supporting reliable inference for exploration, estimation, and hypothesis testing — essential for guaranteeing data representativeness in AI use cases.
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