The problems DAM leaders live with daily but rarely solve on their own

Observation:

Often, the hardest parts of digital asset management aren't technical; they're organizational and behavioral, like driving real adoption, building governance that survives turnover, proving ROI to a skeptical CFO, applying consistent, accurate metadata, and taming rights at scale.

DAM leaders know these gaps exist but lack the time, mandate, or skillset to close them.

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 if moving content between systems was as simple as describing what you want to accomplish? AI is changing how DAM teams automate workflows, connect business systems, and manage digital assets without requiring complex development projects. This session demonstrates practical ways AI can help streamline metadata enrichment, automate content distribution, orchestrate workflows, and simplify integrations with PIM, CMS, Collection Management Systems, and other business applications.