Companies are investing heavily in computing, modeling, and the cloud. Yet most generative AI projects hit a roadblock at the same point: content. Contracts, technical files, and regulatory documents remain scattered across multiple silos, subject to uncontrolled access rights. The result: AI that gives the wrong answers—or answers too well—to people who shouldn’t know.

This session treats content as a full-fledged infrastructure layer. How can you unify your document repositories without migrating everything? How can you ensure that AI agents adhere to existing permissions? How can you retain the freedom to change models without having to rebuild everything? And how can you maintain control over the location of data and encryption keys?

Using real-world examples, this session provides a decision-making framework for transitioning from a pilot project to full-scale production without becoming locked into a single supplier.