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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Most of the context your AI needs already exists — it's just fragmented across systems, tools, and people's heads. Here's how to start connecting it without boiling the ocean.
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A knowledge graph maps what things are, a data catalog maps where things live, and a context graph maps how decisions work — and that difference changes everything AI can do with your data.
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Context graphs are emerging as the architectural layer that captures how your organization actually makes decisions — and they're quickly becoming the most important concept in enterprise AI.
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