AI readiness does not start with the model. It starts with the data architecture beneath it.
As more organizations deploy AI agents, copilots and automated decision support, data teams face a set of harder questions than simply which model to use: can our data layers be trusted enough to ground AI safely, accurately and at-scale?
In this expert discussion, four industry practitioners will explore how structuring data with medallion architecture can help teams move from raw data ingestion to trusted, governed and AI-ready data products.
They’ll discuss how Bronze, Silver and Gold layers should be designed in real-world environments where data quality, lineage, semantic consistency and governance all matter. The panel will also explore a key emerging question for AI readiness: should AI agents be trained or grounded only on fully curated Gold layer data – or can Silver layer and semantic layer patterns also play an important role?
Topics include:
- How medallion architecture supports AI-ready data foundations.
- What belongs in Bronze, Silver and Gold layers, and why the boundaries matter.
- The case for grounding AI only on the Gold layer – and the case against it.
- Where Silver layer and semantic layer use cases may fit into AI-enabled architectures.
- How to design for lineage, validation, governance and explainability from the start.
- Common mistakes that make medallion architectures harder to scale or trust.
- Practical guidance for teams preparing enterprise data for AI, analytics and future automation.
Speakers
- Moderator
- Alexander Perry, Solutions Architect, WhereScape
- Panelists
- Mike Magalsky, CEO & Founder, infoVia
- Paul Watson-Gover, Senior Solutions Architect, WhereScape
- Simon Meacher, MD & Founder, Engaging Data
- Trung Ta, Senior Consultant, Scalefree
Attendees will leave with a clearer understanding of how to design medallion architecture for AI readiness, how to think about trusted data layers for AI agents, and what practical steps data teams can take now to build confidence in the data foundations behind enterprise AI.
