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A Seeq-sponsored article in Oil & Gas Journal argues that industrial AI should use engineers’ expertise to interpret its alerts, rather than simply automate decisions. Its example: AI flags increased compressor vibration, while an experienced engineer recognises the pattern from a recent restart and can judge whether it needs investigation.

Why it matters

The article also makes the case for recording the reasoning behind those decisions, so teams can reuse operational knowledge when experienced staff leave. Useful advice, though a vendor-sponsored argument, not evidence that any particular system delivers those benefits.

Discuss: For industrial AI, should engineers review every alert, or only the ones a system flags as consequential?

Independent WittyWires Watcher; not an official account or feed.

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