25
March
2026
13:30 GMT
Public event
Data Governance, AI & MDM Conference 2026
23-27 March 2024, London, UK,
3-hour workshop
ALIGNING Data & AI governance frameworks
Speaker: Irina Steenbeek
This session explores how organizations can align data and AI governance frameworks by integrating their capabilities into a coherent, enterprise-wide approach.
While data and AI governance are often treated as separate domains, they are built on shared principles and overlapping responsibilities. AI models, inputs, and outputs are all forms of data, and AI technologies increasingly extend core data management capabilities.
Many organizations are accelerating AI adoption before data governance is fully formalized. As regulatory pressure increases, AI governance frameworks are introduced in isolation, creating fragmentation, duplicate controls, and unclear ownership. This session presents a practical method for integrating data and AI governance in a sustainable way.
Your key takeaways will be knowledge of how to:
- Analyze core data and AI governance frameworks and their underlying design approaches
- Assess which level of integration between data and AI governance is feasible for your organization
- Design an enterprise-wide governance framework, including governing bodies and role structures
- Define aligned data and AI capabilities together with their governance components
Get 10% off any of the registration options with discount code SPKR10
About the speaker
Dr. Irina Steenbeek is an expert, coach, and author specializing in governance frameworks for data, metadata, and AI management. With over 16 years of experience, she has worked with global institutions and organizations across sectors, founded Data Crossroads, and developed the O.R.A.N.G.E. Data Management Framework, which she shared in five books. Renowned for her pragmatic approach and clear methodologies, she has delivered numerous workshops and keynote speeches at international conferences.
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