Most DAM conversations focus on strategy, governance, metadata, AI, and transformation. Far fewer focus on what actually breaks in day-to-day operations.

This panel brings together practitioners from across the DAM ecosystem to discuss the operational realities that often remain hidden behind process diagrams and transformation roadmaps.

Panelists share candid perspectives on where workflows fail, why workarounds emerge, and what prevents organizations from achieving the outcomes they expected from their DAM investments.

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:

New world: when AI is the buyer:

• When AI agents do the shopping, who still needs a product page?
• The Invisible Storefront: Rethinking DAM When the Buyer is an API.

Covering:

Covering:

The many parts of pre-implementation processes that aim to answer the question, "How do I get started?" including:

• Discovery.
• DAMS selection.
• Testing and outreach.
• Setting up guiding principles.
• Establishing processes and workflows.
• Identifying gaps in policy.

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.

Refresh over coffee, share experiences, and visit the exhibition.