Enterprise teams are moving fast on AI, but many initiatives stall before they reach real impact. The issue is rarely the model. It is fragmented data. Customer data sits in CRMs, product and operational data lives elsewhere, and content often remains isolated inside the CMS. Without a practical way to bring these pieces together, AI stays narrow, brittle, and hard to scale.

This session looks at why data silos remain the most common blocker to enterprise AI and how a composable approach changes the equation. Using Umbraco Compose, we will explore how structured content, external data sources, and business context can be brought together without large-scale migrations or heavy custom builds.

Attendees will see how Umbraco can act as a composition layer rather than just a content repository, enabling AI use cases like personalization, intelligent content delivery, and automation across channels. The focus is on practical architecture, low-code integration patterns, and realistic ways teams can move from isolated pilots to AI solutions that actually deliver value.