topic/ai-model-output-gap
Your model returns a file. Production needs an asset.
DAM Cowboy · W37 · September 2026
Cloudinary frames the problem clearly: AI image and video models return ephemeral URLs or base64 blobs that expire, lack metadata, and arrive in the wrong format. Production systems need versioned, tagged, transformed, deliverable assets. The fix involves ingestion workflows, storage infrastructure, and transformation pipelines that most teams bolt on after the fact. This mirrors the AI integration gap across DAM programs.
Also in this issue
- brand-portals-versus-damBrand management software versus DAM: key differences
- marketplace-media-managementFive challenges of using third-party images and videos in your marketplace
- ai-disclosure-social-platformsAI disclosure on social media remains a work in progress
- wipo-ai-infrastructure-initiativeWIPO launches AI Infrastructure Initiative with C2PA focus
- klaviyo-dynamic-visualsCloudinary and Klaviyo integrate for personalized email visuals
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.