From asset library to AI-ready content foundation

AI now draws on your content as much as your people do. Your DAM can only give it answers worth trusting when its metadata and governance are in place, and when people keep them current.

In this session, AVP's John Horodyski and Sitecore's Matt Noyes explain what it takes to turn an asset library into a content foundation that people and AI can rely on.
 

Build a foundation AI can trust

John Horodyski has spent more than 20 years building DAM programs for some of the world's largest brands. In this session, he shares five moves that turn an asset library into an AI-ready foundation. See where your team stands, and how to make each move, in the full session.

Rethink what your DAM is for

Your DAM may hold the content that powers every other system in your stack. Find out why so many teams still treat it like a vault, and what that costs them.

Keep your metadata alive

Most teams check their metadata once a year. Learn the faster rhythm that puts you ahead of most organizations, and the simple ways to keep it going.

Earn trust before you automate

Plugging AI agents into an ungoverned DAM is a risk few teams can afford. Find out who needs to be in the room before you do.

Give AI the context it's missing

Answer engines already draw on content your DAM holds. The context they need most comes from a source many teams overlook.

Staff it like it matters

DAM rollouts often run months over plan. Hear the resourcing decision that keeps yours on track.
 

Up next: Inside an agentic content system

The next session shows where your DAM fits once AI agents start finding and acting on your content, as Sitecore's Matt Krebsbach and Forrester's Phyllis Davidson explore what to strengthen first.

Missed session 1? Watch “Your DAM may not be broken, but the world it was built for has changed”