Despite the explosion of 'talk to your data' agents, most fall short of production-grade accuracy — here's why the problem is architectural, not just about better LLMs.
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Vendor marketing promises 85-90% text-to-SQL accuracy. Enterprise reality delivers 10-31% on production schemas. This guide explains the five levels of context that bridge the gap from raw schemas (10-20%) to...
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AI analytics fails not because of better LLMs but because of architectural gaps: distributed data, fragmented context, and platform-specific agents. This technical playbook explains why semantic layers (Level 4 of...
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Selecting the right data democratization platform determines whether self-service analytics succeeds or fails. Here's how to evaluate semantic layers, BI tools, data catalogs, and integration platforms—with detailed...
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