Local AI for the graphics industry: from production data to dashboard
From production data to local AI
How can you put AI to work on the production floor? During this demo and workshop, you will discover the results of the PRINTELLIGENCE project. In the morning, you will see how AI analyses production data and turns it into useful insights and dashboards. In the afternoon, you will get hands-on and build a local AI environment step by step using Linux, Docker and open-source software.
For whom?
The demo is aimed at professionals in the graphic industry who want to discover what AI can mean for their production environment, including:
- business leaders
- production managers
- IT managers
- professionals involved in digitalisation and technological innovation
The workshop is mainly intended for technical profiles with an interest in data, IT systems and automation. You can attend the demo, the workshop or both.
Key takeaways
During the demo, you will see concrete AI applications from the PRINTELLIGENCE project. In the workshop, you will then build a technical environment yourself.
- Analyse production data and retrieve targeted answers from your figures.
- Build a practical dashboard based on raw data.
- Run AI applications locally, without handing over your data.
- Work with Linux, Docker, SSH and n8n.
- Use Portainer and Caddy to manage your environment and make it securely accessible.
- Build a solution that you can later reproduce in your own company using open-source software.
Bring your own laptop for the workshop. A subscription to Claude Code, Codex or Antigravity can be useful, but is not required.
Programme
Time | Subject | Speaker(s) |
| 09:00–12:30 | Live PRINTELLIGENCE demo: AI for production data analysis and smart dashboards | Geert Bammens - VIGC • Ward Vanongeval - Sirris • Carl Van Rooy - VIGC |
| 12:30–13:30 | Lunch | |
| 13:30–16:30 | Hands-on workshop: production data, dashboards and local AI with Linux, Docker, SSH and n8n | Geert Bammens - VIGC • Ward Vanongeval - Sirris • Carl Van Rooy - VIGC |
