Post by ONIQ

The problem with AI in manufacturing is rarely AI. It is the assumption that you can simply connect it to whatever raw data is already there, and the rest will take care of itself. But production data does not automatically reflect production reality. It is generated across many systems, at different levels of detail, for different purposes. What is missing is the operational context that explains how events, dependencies, constraints, and performance losses are connected across the value stream. Without it, AI works on fragments and fills the rest with guesses that don't hold up on the shop floor. Our new article looks at why AI agents in manufacturing need a validated foundation and how ONIQ helps make AI useful where it matters most. 👉 https://lnkd.in/egnnYPS5 #ManufacturingExcellence #ProductionAI #DigitalValueStream