AI is changing the game, but without a solid foundation, it can quickly become a house of cards. Effective AI governance isn’t just about ticking boxes; it’s about building a structured AI supply chain that ensures everything stays reliable, accountable, and efficient. In this session, we’ll break down the four key components – vendors, interfaces, data, and tooling – and explain how they are pivotal in making your AI systems work smoothly.

What to expect
1. Learn how to structure an AI supply chain for flexibility, security, and scale
2. Get to grips with LLM APIs and Model Context Protocol (MCP), key players in AI interoperability
3. Weigh the benefits of structured toolchains vs. AI operators – because one approach won’t work for everyone
4. Understand how APIs serve as the transport layer for knowledge and decision-making in AI systems