DBR77.com

What happens when a robot becomes part of a system that can perceive what's happening around it?

During our robotics panel at ITM Industry Europe, Wojciech Góral from Universal Robots / Teradyne Robotics discussed the connection between robots, sensors, IoT and AI.

Sensors provide information from the physical process. AI can help interpret it. The robot can then become the ex*****on layer.

But before connecting all those technologies, there is a more fundamental question: What problem are we actually trying to solve?

Tomorrow we're taking that question to the final stop of AI Tour Poland in Poznań.

Participants bring their own process or business problem and work on it during the workshop — including building a first application around their own use case.

Today is the last day to apply.

👉 Poznań | September 11:
https://hubs.la/Q04x4Zqh0

Not every factory needs AI - and that's not a criticism of AI.

During our robotics discussion at Targi ITM Industry Europe 2026, Dawid Woźniak from Yaskawa pointed out something that can easily disappear in today's AI conversation: manufacturers are at very different stages of automation and digitalization.

If existing technologies already solve a production problem effectively, there is no reason to force AI into the application. And if a plant isn't ready for it yet, another technology may create value sooner.

That's why the starting point should be the process and the business problem — not the technology we happen to want to implement.

🎥 More recordings from our ITM Industry Europe conference:
https://hubs.la/Q04wWyBr0

This Friday, AI Tour Poland reaches Poznań. Participants will work on their own business processes and problems, using AI to analyze, automate and build first application prototypes — and to assess whether those ideas are actually worth taking further.

👉 AI Tour Poland:
https://hubs.la/Q04wWyH10

Before automation: 4–5 hours to load one truck. After automation: 5 trucks per hour.

That is the scale of change Daniel Nowicki describes at Colian Logistic.

But the story is not only about throughput. No employees were laid off as a result of the automation project. People moved to other processes, their roles changed, and so did the skills the operation needed.

It is a useful reminder that the business case for automation is much broader than replacing people with machines.

The real question is: What does the technology allow the business to do better?

🎥 From our Targi ITM Industry Europe 2026 logistics panel with Colian Logistic and Supply Chain Automation.

LODZistics Logistics Business Network was main partner of that panel - and on September 8 we meet again in Łódź for AI Tour, with LODZistics as one of the partners.

This time, we will ask the same kind of question about AI: what can it actually improve in a real company?

👉 AI Tour - Łódź, September 8

Other stops on the route: https://hubs.la/Q04wHHw20

🎬 Full panel: https://hubs.la/Q04wHHw30

“Automation is not for everyone.”

An interesting statement from someone who works in automation.

But the point Daniel Nowicki from Colian Logistic makes is simple: if a company is going to spend millions on technology, there should be a clear answer to one question:
What measurable business value will it create?

Automating because automation is trending makes little sense.

And neither does implementing AI simply because AI is trending.

Technology should follow the business case - not the other way around.

🎥 This is a fragment from our logistics panel at Targi ITM Industry Europe 2026 with Colian Logistic and Körber Supply Chain Automation.

LODZistics Logistics Business Network was main partner of the panel. On September 8, we meet again in Łódź for AI Tour Poland, where LODZistics is also one of the partners. This time, we will put AI to the same test: start with a real business problem and see whether the technology can actually help.

💻 Bring your laptop.
🏭 Bring a real case from your company.
🔎 Test what AI can - and cannot - change.

👉 AI Tour - Łódź, September 8

Other stops on the route: https://hubs.la/Q04wwxvs0

Bad data does not disappear when you automate the process.

One of the first things Piotr Dratwa from Körber Supply Chain Automation looks at before a warehouse automation project is the WMS and the quality of the data.

Because even great technology cannot fix a process built on unreliable information. Instead, you may end up with the same chaos - only automated and worth millions.

That was one of the lessons from our logistics panel at Targi ITM Industry Europe 2026, where Colian Logistic and Körber Supply Chain Automation discussed the reality behind a major warehouse automation project.

LODZistics Logistics Business Network was main partner of that panel - and our collaboration continues.

📍 On September 8, we meet again in Łódź for the DBR77 AI Tour, with LODZistics as one of the partners of the Łódź stop.

This time the technology is AI, but we are following the same principle: business problem first. Technology second.

👉 Join AI Tour in Łódź

See all AI Tour dates and locations: https://hubs.la/Q04v_LgZ0

Only 9% of surveyed companies say they have the data foundation needed to unlock AI's potential.

Meanwhile, almost everyone is discussing AI.

In the final fragment of his presentation from the DBR77 conference during ITM Industry Europe, Michał Żelichowski from PSI Polska asks whether companies have done the work that needs to come first:

Are the processes measured? Is the data available? Is the foundation actually there?

Without it, AI can remain an experiment rather than become part of the way the business operates.

🎥 Today we're also publishing Michał's full presentation:

👉 https://hubs.la/Q04vF2nD0

And in September, PSI Polska joins us at AI Tour Poland.

AI Tour Poland - details and registration: https://hubs.la/Q04vDJPZ0

ERP. Excel. Paper. And the rest lives in someone's head.

That's still the digital reality of many factories.

During the DBR77.com conference at Targi ITM Industry Europe, Michał Żelichowski from PSI Polska described a familiar problem: companies have digitalized individual areas, but information remains fragmented between systems, spreadsheets, paper and people.

More tools don't automatically create a connected operation.

And that's particularly important when we start talking about AI.

Before AI can work with your factory, can your factory's information work together?

We'll continue that conversation at AI Tour Poland.

AI Tour Poland — details and registration: https://hubs.la/Q04vlHnR0

What turns an AI experiment into something a factory can actually use?

That's one of the questions we explored during the DBR77.com conference at Targi ITM Industry Europe.

In this excerpt, Michał Żelichowski from PSI Polska points to a fundamental gap: technology is developing faster than many organizations can change.

Because AI doesn't operate in a vacuum.

Underneath it are processes, data, systems and people — and if those foundations aren't ready, even a successful experiment may remain just that.

It's a conversation we're now taking further with AI Tour Poland: five hands-on workshops built around real manufacturing processes rather than theoretical AI use cases.

PSI Polska joins DBR77 as one of the Tour partners.

AI Tour Poland — learn more and register: https://hubs.la/Q04t-kd00