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:
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Why AI initiatives stall without robust information architecture
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How to align RAG and compliance requirements
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The importance of metadata and taxonomy for explainable AI
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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
- Seth Earley
CEO and Founder, Earley Information Science - Vikal Kapoor
Co-Founder & Partner, Seven Train Ventures - Fieran Mason-Blakley
CEO, Leverage Analytics