„Which AI use cases should we implement in our new factory?“ It’s the question I get asked most often — and honestly, I think it’s the wrong one.
In my latest article, I explore why trying to predict tomorrow’s AI use cases today is a losing game, and why the real competitive advantage lies elsewhere: in building the technical foundations — like a Unified Namespace, event-driven architecture, and open standards — that let you implement new use cases in days instead of months, whenever they emerge.
I dig into the Explore/Exploit dilemma every factory project faces, why traditional ISA-95 hierarchies slow us down, and the practical principles, red flags, and lessons I’ve picked up along the way — from vendor lock-in to „death by POC.“
👉 Read the full article on LinkedIn: https://www.linkedin.com/pulse/building-tomorrows-factories-today-data-enablement-paradox-wokittel-rfsle/
