AI for Your DAM - the Roles of Metadata, Trust and Authenticity

Challenge:

Brands and marketing organisations must determine what metadata fields and relationships are appropriate for AI integration with digital assets. AI can help automate tasks, including:

• Tagging
• Categorising
• Describing

AI is used to support DAM duties such as metadata clean-up, governance documentation and reporting. Applications that optimize asset ingestion, saving time and money.

Ensuring Robust Digital Media and Content Supply Chains - the Future of Digital Media is Being Hotly Debated

The panel discusses how Generative AI and DAM are evolving and the implications for:

• The content supply chain and the growing complexity of that supply chain.
• Where the assets come from and go to.
• What other systems of record are required along the way.

Covering the latest trends and the challenges facing organizations, including:

How AI Creates Space for the Work That Matters Most

Context:

Two years ago: the SharkNinja DAM was functional but underutilized: 52,000 assets, 527 users, and a platform without a real program built around it.

What we did: a deliberate relaunch built around taxonomy, governance, training, and integrations.

The result: 261,000 assets, 2,800 global users, monthly logins up 16x, and downloads up 22x. Growth driven by program design, not the tool itself.

Rethinking Enterprise DAM: Infrastructure, Integration, and Innovation

Context:

Twenty years after launching its digital asset management program, the National Gallery of Art is exploring what comes next for a mature enterprise environment.

As DAM continues to evolve from a repository for collection assets into an enterprise platform supporting a broad range of institutional content and creativity, the organization must balance scalability, sustainability, governance, and ongoing innovation.

What we are doing and how:

What I Learned Inheriting a 20-Year-Old DAM - A Survivor’s Guide

Context:

Just been tasked to manage a DAM with no governance documentation, no contact list, and zero onboarding? Where do you go from here?

Lessons learned:

Practical steps on how to get started managing a DAM - a 90-day action plan to:

Pack Light, Find Everything: How We Went from Slide Chaos into a Well-Organized DAM System

Context:

At Rick Steves’ Europe, inspiring travelers begins long before they arrive at their destination – it starts with sharing stories, images, and informative content that brings those experiences to life. As that content has grown, so has the challenge of managing it.

What we’ve done:

Quantum Business Archaeology™: The Playbook for Intelligent Content Operations

The Challenge:

Organizations are racing to add AI, automation, and intelligence to their DAM ecosystems. Yet many continue to struggle with the same operational challenges that existed long before AI arrived.

A Candid Conversation:

Your DAM’s Future as an Intelligent Responder - Getting to DAM 4.0

Context:

• As organizations scale AI initiatives, expand omnichannel experiences, and manage growing volumes of content, DAM is being pushed far beyond its traditional role as a repository for files.
• Leading enterprises are discovering that legacy DAM architectures can no longer support the speed, complexity, and intelligence required by modern content operations.

Exploring:

The DAM Europe 2026 Reading List

As the DAM Europe conference approaches, we've curated an essential reading list to prime you for the event. These carefully selected blogs and resources from event speakers and sponsors offer a sneak peek into the cutting-edge conversations and innovations you'll encounter at the conference.

One Platform, Global Reach by Abi O'hUiginn of Henry Schein

Read here >