Beyond the pilot: How trusted data and MCP make AI work in production

Learn how to move AI projects from experimental pilots into production systems with trusted data foundations and governance frameworks that actually work.

You'll work through real examples of AI projects that stalled at the pilot stage, then learn the specific data governance and Model Context Protocol frameworks that get them unstuck. The session covers how to build trust in your data pipeline, implement practical governance without killing velocity, and structure AI workflows so they actually scale. This is hands-on problem-solving rather than theory, designed for teams managing AI projects who've hit the messy part where pilots meet production. You'll leave with concrete patterns you can apply immediately to your own infrastructure.