Chubby♨️@kimmonismus · XCognite CTO Geir Engdahl接受专访指出，工业AI失败的根源并非模型层，而是工厂现场运营。许多惊艳的AI试点无法在实际运营中存活，因为缺乏真正上下文——当错误可能带来危险时尤为关键。他探讨了工业智能体应在何时推荐、自动化或保持不介入，强调工作演示与可信系统之间存在巨大鸿沟。他预测，到2028年未采用AI驱动流程优化的工业企业将面临严峻挑战。这是一场务实、少谈噱头的对话。
Today we're publishing an exclusive interview with Geir Engdahl， Co-Founder and CTO， AI at @CogniteData .
A very sharp conversation on why industrial AI usually doesn't fail at the model layer， but on the plant floor.
We talked about：
Why impressive AI pilots often never survive real operations
What "context" actually means when mistakes can become dangerous
Where industrial agents should recommend， automate， or stay out
Why the gap between a working demo and a trusted system is massive
And Geir's bold 2028 prediction for industrial companies without AI-driven process optimization
One of the most sober and least hype-driven conversations I've had this year about AI in the real world.
Read the full interview in today's Superintelligence.