Start your day with a bite to eat and a chance to visit the exhibition.

Unwind with a drink, spark new conversations, and make the connections that continue long after the event ends.

Fact:

DAM is increasingly expected to connect across PIM, CMS, workflow, MarTech, rights, analytics, and AI tools. 

Different opinions:

The interesting debate is not just what integrations do you have but how organizations scale an ecosystem without creating another layer of complexity.

Covering:

How to maximize DAM value, through:

With Audience Participation and Take the Mic 🎤 

Format:

A little different. Instead of spending time talking to you, we're going to talk with you. This is a facilitated industry pulse-check. Through live polling and ‘Take the Mic 🎤’ moments, we will use the room to surface what is happening across DAM, content, creative operations, and digital teams right now. 

AI has moved beyond pilots, and DAM teams are feeling it:

Context

Content reuse sounds simple. Until you try to make it work at a global scale in a highly regulated organization.

The challenge

For Takeda, the challenge wasn’t simply creating more content. It was making approved content easier to find, understand, adapt, and reuse, while preserving the governance, context, and connections required in a regulated environment.

What Takeda did

Agents are now tagging, transforming, and publishing assets directly in your DAM, no click, no screen, no person in the loop. The controls most DAM programs rely on were built for humans: a rights warning in a download dialog, an approval step someone actually sees, permissions scoped to a named user. Agents skip all of it. Most are authenticated as a single integration account with tenant-wide rights, which means one compromised or overreaching agent has the run of your entire library.

Digital Asset Management has entered a new phase.

If DAM 3.0 was about becoming a platform through APIs and integrations, then DAM 4.0 is about real-time, context-aware content intelligence engine. The DAM must understand what the user intends and help make it happen.

A marketer does not want to “use a DAM”. They want to launch a campaign, publish a product, create an ad, or get content live.

Getting more value from DAM and AI through people, process and meaningful metadata.

What happens when you give AI a brief without the context it needs? And how often are we doing exactly that with the content in our DAM, overlooking the people, processes and meaningful metadata that make it useful and reusable?