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AI's real value in manufacturing is not replacing experts, but helping their knowledge sediment, transfer, reuse and scale.
Manufacturing decisions cannot rely on an LLM freely improvising — parsing, structuring, rule-modeling and retrieval turn complex cognition into controllable structure.
Given strict demands on data security, IP and internal process, keeping data on-prem and outputs traceable and auditable is the premise for industrial AI.