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AI for code worked because code already lived inside a designed context system. Files had structure, dependencies were explicit, version history was captured. The software developer was the first pers...
Organizations need deeper context about their data — not just for human data practitioners but also for AI agents and LLMs. Without this understanding, data practitioners make flawed assumptions, AI agents produce misleading recommendations, and LLMs......
Over the past month, our team has been heads down on the capabilities that matter most to modern data teams: making metadata securely consumable by LLMs, formalizing expectations between data producers and consumers, and meeting enterprise provisioni......
