How a semantic layer prevents AI hallucinations in analytics
Summary
Centralizing metric definitions and business logic within a semantic layer prevents AI hallucinations caused by ambiguous terms, mismatched departmental definitions, and ungoverned queries against raw data. This hub-and-spoke framework embeds essential metadata and access controls, ensuring AI interfaces only query pre-approved metrics and return consistent results across downstream tools.
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