What is 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:

The evolving role of DAM and collections management across the GLAMP sector.

As galleries, libraries, archives, museums, performing arts and cultural heritage organizations continue their digital transformation, DAM has evolved beyond a standalone repository to become the connective layer linking collections, content, systems, and audiences.

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: