DAM Los Angeles 2026
What It Takes to Make AI Actually Work in the DAM
From Metadata Chaos to Machine Intelligence.
The aspiration, the challenge, and the solution
- Most teams want AI in their DAM, but few have the structural foundations needed for AI to produce reliable results.
- The two essential layers:
- How to prepare a DAM for AI through taxonomy, governance, and metadata readiness.
- How to introduce AI-driven enrichment and automation in ways that are stable, scalable, and vendor-neutral.
A practical, end-to-end framework for moving from messy metadata to machine-supported workflows that improves accuracy, speed, and discoverability.
Covering:
- The core elements of an AI-ready DAM = taxonomy patterns, metadata rules, and governance essentials.
- Practical AI workflows that work today - alt text, keyword extraction, similarity search, and clustering.
- Designing human-in-the-loop review and feedback loops.
- Automation patterns that keep metadata consistent at scale.
- A simple roadmap for adopting AI without disrupting existing operations.
Speaker
What others say
HS DAM events are a fantastic opportunity to surround yourself with the world's greatest minds of DAM today, giving you the chance to learn from them and discuss what the future of our industry may hold!
HS DAM events provide me with the opportunity to learn from colleagues in similar positions to mine--I felt like I was with my people :-) It inspired me to keep on with the important work of helping my stakeholders to centralize, safeguard and share their assets (at the speed of light), as well as looking around the corner on how to continue to innovate.
HS DAM events provide me with the opportunity to network and meet peers who have experience in the field as we acquire and implement a DAM/MAM platform.