DATA festival
Program 2026
We’re working at full speed on an exciting new program!
In the meantime, take a look at our highlights to get a preview of what’s coming your way.
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As soon as there is news about the program, you will be the first to know.
Beyond the Hype Curve
Thomas Zeutschler, Senior Analyst Data & AI | BARC
The AI Act Reference Architecture: A Practical Blueprint – from Law to System Design
The EU AI Act is about to reshape how we design and operate intelligent systems — and software architecture sits right at the center of this shift. This talk explores how to build AI solutions that are compliant by design, using architectural patterns that enforce transparency, traceability, and governance without slowing teams down. We’ll look at how to structure domains, data flows, and decision points so that risk classification, documentation, and monitoring become natural outputs of the system, not last-minute compliance work. You’ll also see how Domain-Driven Design and event-driven architectures help organizations embed safety, explainability, and accountability into their AI products. Whether you’re an architect, product owner, or engineering leader, this session will show you how to turn regulation into an accelerator — not an obstacle. Join to learn how future-proof architecture can make the EU AI Act a strategic advantage.
Dr. Nikita Golovko, Portfolio Architect (Industrial AI) | Siemens
The Future is Conversational: Bosch’s Integrated Data Product Ecosystem with Generative AI
Explore Bosch’s journey integrating Generative AI into a holistic data product ecosystem. Discover how we’re building conversational interfaces and democratizing data access to unlock new possibilities for innovation and efficiency.
Wolfgang Klein, Director Data-as-a-Service | Robert Bosch GmbH
Simeon Rilling, Chief Product Owner for the Data Mesh Ecosystem | Robert Bosch GmbH
From Solo Agents to Agentic Ecosystems: Enabling Production-Ready AI for the Energy Transition
The rise of Agentic AI marks a shift from single-task copilots to multi-agent ecosystems that can collaborate, reason, and act within enterprise environments. In the energy sector, this evolution is critical: agents need not only intelligence but also interoperability with trusted data foundations and enterprise systems to become production-ready. In this talk, we’ll explore how to move beyond isolated experiments with single agents toward scalable, multi-agent architectures that can optimize grid operations, accelerate decarbonization, and empower customers. We’ll highlight the role of data governance, orchestration, and integration in making agentic AI safe, reliable, and impactful for the energy transition.
Kapil Gupta, Chief Data Technologist | E.ON
From slides to systems: Lessons learned from implementing AI governance in a decentral global organisation
A practical look at how the ZEISS Responsible AI Office moved from powerpoint principles to practice — turning global AI legislation such as the EU AI Act into a concrete AI governance and risk-management framework. Learn how a decentralized global organization develops its Responsible AI playbook and operating model to embed accountability and enable compliance without slowing innovation. Walk away with lessons learned, key enablers, and a look ahead at the next phase of Responsible AI maturity.
Alexandra Wander, Program Manager Responsible AI | Zeiss
Driving data & AI literacy
Growing future-ready data communities of practice at scale with the new Henkel Data Clubhouse, an outcome-based operating model for Communities of Practice in the AI age. I would share what we have observed running 30+ disjoint data communities and what we are learning as we are setting up a governing and enabling body for these communities, the Henkel Data Clubhouse. Here, I would include an honest assessment of measures and strategies.
Florian Roscheck, Senior Data Scientist | Henkel
Discussiongroups
Join the various informal discussion groups on the afternoon of the first day of the event.
- Modernizing Data Architectures – Data Warehouse, Data Lake or Lakehouse?
- FinOps – how do we keep cloud costs for Data & AI in check?
- Data & AI Young Professionals Circle (U30)
- Data & AI Communication – what do you communicate to positively influence data culture?
- Data Quality – Best Practices
- AI Act – Lessons learned
- Data Science – #notimeforllms
- Skills, Teams and Culture for Scalable Data & AI
- Data& AI in your specific Industry
- More topics to come…
Evening Event
Continue your conversation with colleagues and like-minded people in a relaxed atmosphere in the beer garden right on the Isar river.
*Preliminary schedule, subject to change.
Any questions? Contact us!
