Rewire’s Data Leadership Roundtables are curated gatherings where data leaders exchange first-hand insights and proven practices from navigating real-world challenges.
What
Proper data management has long focused on making data reusable, interpretable, reliable, and discoverable at scale. At the same time, we see that many agentic AI solutions bypass these practices to move fast and unlock new use cases. The next wave of value lies in bringing these worlds together. What if metadata, context, and relationships were shared across data products and agentic AI solutions?
We’ll ground the discussion in real-world experiences, including how organizations are:
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Grounding LLMs through shared metadata and relationships
How existing data management assets (semantics, lineage, ownership, quality signals) can provide context that improves trust, interpretability, and reuse in agentic AI. -
Democratizing context across domains
How semantic models and knowledge graphs can distribute context beyond single agentic AI solutions, creating a shared foundation for data products and AI agents to evolve together. -
Accelerating agentic AI with agentic-AI-ready data products
What it means to upgrade data products (at scale) with standardized MCP ports for usability by agentic AI solutions across the organization.
This is not a hype session. We’ll focus on what leaders are actually learning as they try to connect fast-moving agentic AI initiatives with sustainable data management practices.
Why
Data has moved from a side topic in the boardroom to the centre of business strategy. Agentic AI adds a new layer of opportunity and complexity, requiring leaders to make choices today about where to invest, what to prioritize, and how to scale responsibly. Connecting the dots with data management, data products, and lessons learned from their maturation is key to getting these decisions right. This roundtable provides space for candid conversations, shared lessons, and peer-driven problem solving on exactly that.
For whom
This series of events is designed for:
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Anyone responsible for steering the data agenda in their organization.
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Organizational leaders driving data culture, literacy, and transformation.
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Technical data leaders shaping architectures, platforms, and governance.