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December 7, 2025

Why Talking to Your Business Data is Not as Easy as it Looks!

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.

A stepped bar chart titled “Improving Accuracy Means Leveraging All Context,” showing five increasing levels of context that improve accuracy. From left to right: Level 1 Raw Technical Metadata (schema, tables, columns), Level 2 Relationships (joins, constraints), Level 3 Catalog & Business Definitions (glossary, certified data, golden queries, ownership), Level 4 Semantic Layer (metrics, rules, measures, policies, ontologies), and Level 5 Tribal Knowledge & Memory (preferences, patterns, reinforcement). An upward arrow on the left indicates accuracy increasing with each level.

February 9, 2026

Metadata Management for AI: Making LLMs Trust Your Data in 2026

AI agents need rich metadata to deliver accurate answers—yet most organizations struggle with fragmented metadata across catalogs, semantic layers, and BI tools. This guide explains how unified metadata management...