topic/ai-in-dam
What AI can (and cannot) do for your DAM
DAM Cowboy · W32 · August 2026
Acquia maps three categories of AI in the DAM world: assistive (auto-tagging, transcription), augmentative (search expansion, similarity), and generative (content creation). The piece is correct that all three categories depend on clean foundational data. Auto-tagging a messy library produces messy tags at scale. The best use of AI in DAM is not to fix broken workflows; it is to accelerate workflows that already work. If your taxonomy is inconsistent, AI will amplify the inconsistency.
Also in this issue
- video-moderationCloudinary extends automated moderation from images to video
- facial-recognition-searchFacial recognition search in DAM: how it works and why it matters
- image-generation-apiCloudinary ships multi-model image generation API with built-in asset management
- media-provenance-summitIPTC releases video overview of Toronto media provenance summit
- newscodes-updateIPTC releases Q2 2026 NewsCodes vocabulary update
DAM Cowboy is published by Stacks, a DAM consultancy. We summarise industry news here; we do not report it, and the original source is linked above.