🧭 Are you a data management consultant, architect, or team lead working to implement or scale data lineage in your organization—while facing challenges like fragmented metadata, tool misalignment, or stakeholder resistance?

Session 2 dives deeper into one of the most persistent questions:

Why does data lineage remain so difficult to sustain—even when the right tools, processes, and roles seem to be in place?

This session will explore the interdependent challenges of technology, data management practice, and governance, uncovering how these dimensions affect lineage accuracy, usability, and long-term value.

After a short introduction, the conversation is yours.

This is a fully interactive peer session, focused on real cases, real blockers, and real lessons learned.

🎯The goal of this session is:

To discuss how organizations are addressing the practical obstacles of lineage documentation across technology, data management, and governance—sharing what has worked, what hasn’t, and how to connect Critical Data Elements (CDEs) with lineage in a sustainable way.

🔊 This is an interactive session—not a one-way presentation.

Participants are expected to come prepared with questions and be ready to share their own experiences.

The value of this session comes from open exchange, not passive listening.

💬 Proposed discussion topics include:

• Balancing automation and manual effort when lineage tools fall short

• Connecting lineage with metadata, data quality, and architecture standards

• Clarifying governance roles and ownership to ensure sustainability

• Relating Critical Data Elements (CDEs) to lineage to improve trust and reporting accuracy

• Encouraging collaboration across IT and business teams to build a shared understanding

🎯 Expected key takeaways:

• Practical insight into aligning technology, process, and governance for more complete lineage documentation

• Examples of how to bridge gaps between tools and teams through communication and shared definitions

• Techniques for integrating CDE identification and lineage documentation into one coherent approach

• Ideas for improving collaboration and communication among colleagues to sustain lineage as an ongoing capability

Organised by Data Crossroads

🔎 AI regulations are multiplying—fast—but clarity isn’t.

Every major jurisdiction defines, scopes, and enforces AI differently. The result? A complex maze of overlapping, sometimes conflicting requirements that challenge even the most mature governance teams.

📘 In this Live Talk, we’ll explore how organizations can make sense of today’s fragmented AI regulatory landscape—and define a realistic path to compliance.

We’ll look at how regulations differ in their scope, legal force, and compliance models, from the EU AI Act to frameworks across North America, Asia, and beyond.

📈 You’ll gain a clear picture of:

• The key regulatory differences shaping global AI governance

• What “risk-based” and “principle-based” compliance really mean in practice

• How to align your internal governance framework to manage diverse legal expectations

🧭 Whether you’re defining your AI policy or adapting existing data governance frameworks, this session will help you find a balanced, practical route through the complexity of AI compliance.