We’ve all heard it before. AI will revolutionize everything. It will optimize our workflows, anticipate every machine failure before it happens, and magically conjure efficiency gains out of thin air.
But those of us who actually work in industrial automation know that the reality is different.
When technology meets dusty factory floors, old PLC systems that refuse to talk to the outside world, and margins that don’t allow for any ‘play projects’, then fancy slides and visionary futures are not enough. That’s where most AI projects die – in what we call the “pilot graveyard”.
Why is it so hard to make AI work for real?
Ask any automation engineer. It’s rarely about the algorithm being bad. It’s about:
- Integration: How do we get the AI model to make decisions in real time without slowing down the line?
- Data quality: What do we do when the sensor on machine 4 starts drifting?
- Scalability: One pilot on one machine is easy. Rolling it out on 50 lines in three different countries is a whole different sport.
An event without filters
That’s why I’m really looking forward to Aixia’s event “AI in practice for manufacturing industry”.
This is not another seminar to tell us what the world will look like in 20 years. Instead, the focus is on those “hard” questions: Where does technology actually create value today? What happens when everyday life takes over? And above all – what choices did those who actually succeed make?
We will hear concrete examples from the Swedish manufacturing industry: people who have made the journey, who have encountered stumbling blocks and who have found solutions that last over time. We’ll talk about decisions, limitations and the lessons you only learn by actually getting your hands dirty.
Why you (and I) should be there
If, like me, you’re tired of AI buzzwords and want to know how we actually use the technology to:
- Ensure quality with Computer Vision that doesn’t miss a detail.
- Reduce unplanned downtime through predictive maintenance that actually works.
- Building an infrastructure that does not become a bottleneck as data volumes grow.
then this morning is the one to prioritize.
It’s about going from ‘what if’ to ‘this is what we did’. It’s about networking with people who understand the difference between a lab environment and a production environment.
🎯 Event: AI in practice for the manufacturing industry
Where: Toftaholms Herrgård, Vittaryd
Learn how AI actually works in a production environment – from those who have made the journey.
See you there!
