CDAO Germany 2026
Presentations
- Why data readiness, not model quality, is the real bottleneck to scaling AI
- Enhancing Decision-Making: Demonstrate how collaborative data analytics improves accuracy and speed in strategic decision-making, leading to better business outcomes.
- What AI-ready data actually means in federated European organisations
- How geopolitical fragmentation increases the need for sovereign, execution-grade AI systems
- Why most governance fails - and how to move from static control to executive enablement
- What CDAOs must prioritise in 2026 to build resilient, reusable AI foundations
Alexander Woellwarth-Lauterburg
CEO & Founder
InnoButler
Presentation: Operationalizing AI in a Regulated German Industry
- How organizations can understand the emerging legal landscape and proactively integrate regulatory requirements into their AI strategy
- Best practices for governance, risk management, and quality management
- Building a healthy compliance culture
- Seeing compliance not as a constraint, but as a competitive advantage
- Investing in AI governance and cybersecurity builds market trust, opens new opportunities, and demands a cultural shift — away from the "move fast" era toward interdisciplinary collaboration, resilience, and a governance mindset that coexists with innovation.
Elizabeth Press
Deputy Chief Digital Officer
CHESCO (Center for Hybrid Electric Systems Cottbus)
Keynote Presentation: Open Data Infrastructure: Breaking Vendor Lock-In in the Age of AI
- Vendor lock-in and the rise of “walled garden” data platforms
- The impact of closed architectures on AI and real-time use cases
- Core principles of Open Data Infrastructure (ODI)
- Unlocking and activating SAP and Salesforce data across systems
- Building a flexible, future-proof data architecture for AI
Richard Brouwer
Principal Sales Engineering Specialist, SAP
Fivetran
Presentation: The Real Challenge in Analytics: Why Technology Isn’t the Problem
- Why strong platforms still fail to drive adoption and impact
- The critical success factors behind high-performing data teams
- Building the right competencies across technical and business roles
- Working with shared principles instead of rigid rules
- How to shift mindsets, not just tools
Charlotte Evans
Director, Global Customer Advocacy
Coursera
Presentation: Unlocking Efficiency at Scale: Supply Chain Analytics and TCT
- Identify bottlenecks across procurement, production, and distribution
- Quantify delays and forecast their downstream impact
- Continuously improve customer satisfaction through faster, more reliable delivery.
Dmytro Pavlichenko
Manager Data Analytics
Autodoc
Keynote Presentation: Organizing and Searching Data – With AI, for AI
- Identify bottlenecks across procurement, production, and distribution
- Quantify delays and forecast their downstream impact
- Continuously improve customer satisfaction through faster, more reliable delivery.
Ole Olesen-Bagneux
VP, Chief Evangelist
Actian
Presentation: Developing a Data Operating System
- Data Teams Need an Operating System—Not Just a Stack: Why focusing only on tools and technology misses the mark, and how process, mindset, and communication routines create consistency across data functions.
- Soft Skills as a Multiplier for ROI: How skills like storytelling, empathy, and influence-building amplify technical output and help data teams embed more deeply into business strategy.
- Prioritization as a Leadership Capability: Why leaving prioritization to tooling or backlog grooming is a mistake—and how data leaders can guide their teams by aligning decisions to business impact.
- From Insight to Action: Common roadblocks data teams face and practical changes leaders can implement immediately to improve alignment, output, and morale.
Pier Martin
Vice President, Data Analytics
ZEAL Networks