With the rollout of a unified digital collections’ ecosystem across the University of Oxford’s four museums with the aim of improving long-term preservation and expanding digital access to collections for research discovery and public engagement, this session explores the journey from fragmented, siloed systems to an integrated service, and the organisational, technical and cultural challenges involved.

As more museums bring AI into DAM processes, industry professionals are seeking clear guidance on adopting these tools responsibly—while honoring commitments to data privacy, digital preservation, and institutional integrity.

In this 20-minute session, Terentia CEO Neal Bilow will explore what responsible AI means for the GLAM sector and how institutions can get started. Attendees will learn about Terentia’s approach to building a trusted AI digital repository, where AI systems are powered entirely by an institution’s authenticated data, assets, and metadata.

The need:

Marketing, creative, and product teams adopt AI tools for content generation, personalization, and operational efficiency, the foundational need for a single source of truth for all digital assets becomes critical.

Things to consider now before you lose control of your assets:

  • Forensic watermarking.
  • Embedded metadata and C2PA.
  • Upstream and downstream hand-offs and version control.

Solutions: 

The Oakland Museum of California (OMCA) is a multi-disciplinary museum with nearly 3 million objects in its collection. It is a consolidated museum that stewards three major disciplines (Art, History, and Natural Science). As a reflection of this, the DAMS at OMCA is also a multi-subject, multi-disciplinary resource for the museum's operational needs. Throughout the system's implementation, our assumptions have changed as the user base has grown. We are adapting our DAM to serve these needs, and we view OMCA’s DAM as a living system that requires constant transformation as it matures.

Context:

  • The quantity and variety of assets organizations generate is skyrocketing.
  • Customers expect those assets to be deployed in timely, personalized communications.
  • At the same time, customers increasingly use AI to surface content and make decisions. 
  • That’s why, in marketing organizations, DAM needs to evolve.

As AI rapidly reshapes how content is discovered, assembled, and experienced, traditional DAM strategies are no longer enough.

Context:

The Susanne Kester Archives at the Skirball Cultural Center (SCC) in Los Angeles collects and preserves materials that document the SCC’s history, exhibitions, and community, cultural and educational programs.

What we plan to do:

Whilst preparing to migrate a DAM system the SCC Archives is re-imagining the metadata structure of Skirball's digital collections.

Covering: