As AI gains traction in regulated industries, organizations face a critical challenge: meaningful outcomes depend on information that is structured, governed, and trustworthy. In this session, Seth Earley is joined by Fieran Mason-Blakley and Vikal Kapoor for a practical discussion on why information architecture is the foundation for safe, compliant, and scalable AI.
Together, they explore why AI often fails in regulated environments, how Retrieval-Augmented Generation (RAG) can be deployed with compliant data, and the role of metadata, taxonomy, and governance in ensuring accountability and traceability.
Key themes from the webinar include:
Why AI initiatives stall without robust information architecture
How to align RAG and compliance requirements
The importance of metadata and taxonomy for explainable AI
Practical steps to connect IA and AI strategies
The conversation is forward-looking yet grounded in real-world needs, offering clear guidance for IT and business leaders navigating AI adoption in highly regulated environments.
Speakers