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.