- Explore reference architectures for modern data environments.
- Discuss how to integrate data from multiple sources
Do you also want to get more value from the data in your organization?
And would you like to meet a partner who is strong both strategically and technically?
We noticed that, despite the growing importance of Data & AI, there are still too few opportunities in the Kempen region for professionals to connect, exchange knowledge, and inspire one another around these topics.
That’s why we organize these sessions: to bring together professionals, entrepreneurs, and data enthusiasts, share practical insights, and help build a strong and accessible Data & AI community in the Kempen region.
During these informal breakfast sessions, we combine knowledge sharing, practical examples, and networking opportunities. Each session has its own focus (educational, strategic, or pragmatic) and can be attended separately, depending on your role, interest, or responsibility within the organization. You can find more information about the content of each session below.
These breakfast sessions are relevant for anyone in a mid-sized company who wants to work with data and AI, from strategy to execution:
Whether you want to join the conversation on trends, gain inspiration for strategic decisions, or work hands-on with data, there is a session that fits your role. Attention: These sessions run in Dutch.
P.S. Do you know someone who might benefit from this? Feel free to share this page.
June 25, 2026, 9 am – 10.30 am
In this pragmatic session, we move from theory to practice: how do you translate data and AI into concrete solutions within your organization? We focus on the technical aspects of data management, architecture, and implementation, so you understand what is required to use this technology effectively and securely.
During this session, we will:
What you will gain:
July 30, 2026, 9 am – 10.30 am
Dive into the fascinating world of data integration. In this hands-on workshop, we’ll build a real integration together: from a demo source system to our MAKO data warehouse. No theoretical slides, just building, testing, and getting data flowing.
We’ll use dlt, a Python framework for data integration. You’ll learn how to connect systems, retrieve data, and synchronize it intelligently using techniques such as pagination and incremental integration. Expect a highly practical session where you’ll actively code, experiment, and immediately see what works. Ideal for developers, data engineers, and technical professionals who want to connect systems and move data between platforms.
Want to build along live with our demo project? Just bring your laptop. We’ll handle everything else.
Prefer to experiment directly with an internal system from your own organization? Come prepared and bring:
Why should you join?
Ready to build a real data pipeline instead of just reading about one? Register, bring your laptop, and join us in creating a real integration from source to data warehouse. Fully hands-on and immediately applicable to your own projects.
August 27, 2026, 9 am – 10.30 am
AI is everywhere. Every tool, every platform, and every roadmap revolves around AI. But what exactly is AI, and how do you make sure your organization is ready for the AI revolution? How do you build a solid foundation that prevents your organization from collapsing like a house of cards?
During this breakfast session, we’ll show you how to build a data foundation that enables AI to create real value within your organization. We’ll explore key topics such as data quality, data governance, and data security and why they are essential for trustworthy AI applications and successful AI enablement.
We’ll make it tangible:
This session is designed for professionals who want to look beyond the hype and understand what it truly takes to implement AI sustainably and securely within their organization. Because organizations that want to succeed with AI tomorrow need to get their data foundation right today.
Register now and discover how to prepare your organization for the AI revolution in a secure, scalable, and future-ready way.
September 24, 2026, 9 am – 10.30 am
This session topic is still to be confirmed. Looking for insights on a specific topic? Let us know.
October 29, 2026
Save the date for UD Live 2026 on October 29, an inspiring journey from data chaos to data-driven decisions. More information coming soon.
Do you want to confidently join discussions about data and AI? Do you want to discover how to use data strategically for growth? Or do you want to understand what is technically required to build a future-proof data environment?
Choose the session that fits your role or attend them all. Seats are limited to ensure quality and interaction. So reserve your place now and take the next step in your data journey.
Practical info: All sessions are in Dutch and take place at Paterspand in Turnhout, from 9 am to 10:30 am. Parking is free on-site, and coffee with a delicious breakfast will be ready for you from 8.30 am. These sessions are free of charge, but registration is required.
AI and data are high on the agenda of almost every organization today, but the discussion is often dominated by buzzwords and hype. To gain real strategic value, it is essential to first create clarity around the many terms and trends in the data landscape. Only when everyone understands the same concepts and speaks the same language does it become possible to have meaningful conversations and make well-informed decisions about data and AI.
During this session, we take a closer look at the most important concepts in the data world.
We will:
What you will gain:
Digitalization and AI are essential for organizations that want to stay relevant and competitive. Without a clear data vision, technological progress risks becoming a series of isolated initiatives instead of a structural driver for growth and efficiency.
In this session, we use realistic use cases to show:
What you will gain:
We help you:
make your data reliable, accessible, and centralized,
automate manual processes, build the right technology stack and internal skills,
make the strategic value of data visible to both management and teams.