Upcoming Events
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Timezone CET UTC+1
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Dr. Irina Steenbeek
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Online
Free Events
LIVE Q&A SESSION
TBD
with Dr. Irina Steenbeek
- 00Days
- 00Hours
- 00Minutes
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Participants are welcome to share their ideas and suggest topics for future Q&A sessions.
If there is uncertainty, participants are welcome to review the topics proposed by fellow practitioners from previous Q&A sessions.
We will focus on one or two real challenges submitted by participants, which will be selected and explored together during the session.
Target Groups
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Data Stewards
- Data Governance/Management Leads
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Chief Data Officers
Topics
- Data Governance Operating Models: Challenges and Solutions
- Metadata Maintenance and Ownership: Challenges and Solutions
- Aligning Data and AI Governance Frameworks: Challenges and Solutions
Takeaways
- Practical advice grounded in real-world experience, shared by peers and practitioners facing similar challenges
- Clear, realistic next steps that participants can apply immediately in their own organizations
- A better grasp of where hop-based lineage falls short for Critical Data—and how organizations gradually move toward more meaningful end-to-end visibility
Why is this Q&A session free
For complete transparency, this QA is FREE to attend because once you know what you need to do to adapt your governance framework, you may still want to attend one of our courses or programs that can help you implement proper metadata management in your company. If so, we would be delighted to work with you more closely.
However, you do not need to buy any of our courses. In fact, we would like to encourage you to attend this virtual presentation, make copious notes, and implement what we show you because it will quickly accelerate the growth of your new or existing business.
Paid Events
PUBLIC EVENT
Aligning data & Ai governance frameworks
with Dr. Irina Steenbeek
- 00Days
- 00Hours
- 00Minutes
- 00Seconds
This session explores how organizations can bring data and AI governance frameworks together in a coherent and workable way.
As AI initiatives increasingly depend on data quality, controls, and accountability, misalignment between governance models creates friction and risk.
The session focuses on practical alignment across policies, roles, decision structures, and lifecycle controls.
Examples and discussion emphasize real organizational constraints rather than theoretical models.
Target Groups
- Data stewards involved in governance or AI-related initiatives
- Data governance managers coordinating enterprise frameworks
- Professionals bridging data, analytics, and AI responsibilities
Topics
- How data governance and AI governance frameworks differ—and where they overlap
- Alignment of roles, decision rights, and accountability across data and AI
- Integrating AI lifecycle controls into existing data governance structures
Takeaways
- Clear understanding of where governance misalignment typically occurs
- Practical ways to connect AI governance requirements to existing data capabilities
- Concrete ideas for structuring a harmonized governance approach
