Everyone wants better search and better AI. Few people want to talk about content types, metadata, taxonomy, document sets, governance, and site structures.

Yet these "boring" fundamentals remain the foundation of both effective search experiences and high-quality AI responses.

Join Microsoft MVPs Dan Toft and Kasper Larsen as they share lessons learned from designing enterprise-scale information architectures and explain why the principles behind search, collaboration, and knowledge management matter more than ever in the age of Copilot.

Discover how information architecture influences search relevance, content discovery, governance, and AI accuracy, and learn why content types, managed metadata, and even document sets still play a critical role in modern Microsoft 365 environments.

You'll also see how information architecture can be transformed from static documentation into an automated, scalable platform using PnP Provisioning, Azure DevOps, and GitHub.

Whether your goal is to improve search quality, increase Copilot accuracy, strengthen governance, or automate your Microsoft 365 environment, this session will show why the fundamentals still matter and why they're often the difference between AI success and AI disappointment.

After this session, you'll walk away with a better understanding of how to build enterprise information architecture, and more importantly, how you can streamline your information management.