A key message was the governmental will to treat Open Source as a serious option in public procurement. It was interesting to see this shift stated so clearly: Open Source is not framed as a special case, but as something that should be buyable in a structured and legally sound way. If this intent turns into standard templates and repeatable processes, it removes a major barrier to adoption.

2) People trust new tools when they can try them safely

Readiness comes from doing, not from slide decks. The suggested approach was simple: create a protected space to test, keep participation voluntary, and encourage exchange between teams. That is how acceptance grows while mistakes stay manageable.

3) The best examples focused on control, not hype

The most convincing examples did not focus on flashy demos. They focused on good practice: clear responsibilities, a review step for sensitive cases, and a record of what happened and why. In short: automate routine work, but keep humans responsible where impact is high.

4) Cybersecurity is part of the foundation

For OWnD, this is not abstract. As a digital-driven company building in-house automation and using Open Source AI tools, security is a daily topic. The event reinforced lessons we will apply:

• share less data, by design
• limit access rights and review them regularly
• keep clear records of changes and outputs
• keep Open Source components updated and well managed
• separate experimentation from client work and critical systems
  
  
  

The EU AI gap was presented as real. The more useful question is where Europe can win. From an industry perspective, the strongest position is often industry-specific data and deep domain knowledge.

That is exactly where OWnD sees the future of wind analytics: specialised workflows built on high-quality data, with domain expertise embedded in the checks, assumptions, and review steps.

For further details, you can refer to the below references and links.

REFERENCES