# Dr. Oliver M. Duschka

> Chief Data Officer at Versicherungskammer (Germany's largest public insurer), based in Munich. PhD in Computer Science from Stanford University. Specialises in AI governance, data governance, and EU AI Act compliance. Builds governance frameworks that enable responsible AI adoption rather than blocking it.

## About

Dr. Oliver M. Duschka leads AI and Data Governance at Versicherungskammer. His work focuses on practical EU AI Act compliance — including an AI system registry, risk classification frameworks, and embedded governance workflows. He also leads data governance within the company's Data Driven Transformation programme and regulatory preparedness for FiDA (Financial Data Access regulation).

He represents Versicherungskammer in industry regulatory working groups and speaks regularly at conferences on proportionate, embedded AI governance.

Earlier career: Engagement Manager at McKinsey & Company (financial services focus), SVP at T-Systems (~700 employees), VP & General Manager EMEA at Unisys, Head of Sales and Customer Success at think-cell, and founding engineer at Socratix (bioinformatics startup, Palo Alto).

Education: PhD & MS in Computer Science from Stanford University (Fulbright Scholar, Schlumberger Fellowship), General Management Programme at London Business School, Business Technology Programme at MIT Sloan, BS in Business Administration & Computer Science from TU Darmstadt (German National Scholarship Foundation).

## Expertise

- AI Governance and EU AI Act compliance
- Data Governance and Data Driven Transformation
- FiDA (Financial Data Access) regulatory preparedness
- GDPR and AI — legal certainty for model training and data rights
- Risk-based AI classification frameworks
- Insurance industry AI standards

## Blog Posts

- [When AI Makes Movies — and Why That's Not the Interesting Part](https://duschka.com/blog/ai-movies-governance-2026.html): An AI-generated film is impressive, but the AI decisions that matter in insurance — pricing, claims, underwriting — are invisible. That's where governance counts. Discusses the EU AI Act's risk categories and why content generation and high-risk decision-making require different governance approaches.
- [What Companies Actually Need from AI Regulation: Legal Certainty, Not Deregulation](https://duschka.com/blog/ai-regulation-legal-certainty-2026.html): Argues that the real barrier to AI deployment isn't overregulation but legal uncertainty. Analyses Baden-Wurttemberg's LDSG amendment (§ 9a, § 11a) as a model for clarifying GDPR data rights in the context of AI model training, and calls on Bavaria to extend similar provisions to the private sector.
- [From Tech Pilots to Scaled Impact](https://duschka.com/blog/plug-and-play-summit-2026.html): Reflections from the Plug and Play Germany Summit 2026 at BMW Welt on why AI governance is a design principle, not a filter — and what that means for Europe's competitive advantage in building trustworthy AI.
- [Regulation vs. Reality in Financial Services](https://duschka.com/blog/cdo-bfsi-exchange-2026.html): Key takeaways from the CDO BFSI Exchange Europe keynote panel on making data and AI work for both compliance and competitiveness. Covers light-touch AI governance, FiDA opportunities and risks, and the three pillars of data-driven transformation.

## Selected Publications

- Answering Recursive Queries Using Views (ACM PODS — Best Newcomer Paper Award, Alberto O. Mendelzon Test-of-Time Award)
- Recursive Query Plans for Data Integration (Journal of Logic Programming)
- Query Planning & Optimization in Information Integration (PhD Thesis, Stanford University)
- Complexity of Answering Queries Using Materialized Views (ACM PODS, with S. Abiteboul)
- Infomaster: An Information Integration System (ACM SIGMOD)

## Contact

- Email: oliver@duschka.com
- LinkedIn: https://www.linkedin.com/in/duschka
- Location: Munich, Germany