United StatesMedia and entertainment2026 – ongoingCondé Nast
Multimodal search of the editorial video archive
Condé Nast measured a 99.2% reduction in video discovery time with multimodal search
Problem
Editors searched video titles and descriptions, then manually reviewed footage. Finding usable material depended on colleagues' knowledge of the archive.
Approach
Condé Nast and the AWS Generative AI Innovation Center built semantic video search using TwelveLabs Marengo on Amazon Bedrock and OpenSearch. Editors could search by meaning and receive timestamped clips. AWS reported six months of production use.
Results
Takeaway
The time savings came from a May 2026 benchmarking workshop. Annual cost savings remained an estimate.
Categories
- Size
- Large enterprise
- Industry
- Media and entertainment
- Business function
- Internal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AIComputer vision
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
AWS described the production search system and Condé Nast's workshop measurements. Discovery time fell by 99.2%, while manual review effort fell by over 90%.
Full details are in the original sources.