AI-powered analytics: Building data visualizations with natural language vs. SQL
Summary
Natural-language data visualization requires semantic grounding, shared metric definitions, and built-in governance to deliver the reliability traditionally expected from SQL. Combining multi-turn conversational context with strict access controls enables teams to safely bring verified, analyst-grade insights into their everyday workflows.
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