Condé Nast deploys multimodal video search built on Amazon BedrockMachine translation
Condé Nast and AWS built a system that searches visual, audio, and transcript content across more than 140,000 videos and returns precise timestamps. It has run in production for six months. In a May 2026 benchmarking workshop, Condé Nast measured a drop in discovery time from 250 minutes to about 2 minutes per task and estimated annual operational savings of about $800,000.
超过 14 万条视频的生产环境应用，以及明确标注测量来源和估算性质的效率数据，为多模态检索提供了具体案例。
Condé Nast deploys multimodal video search built on Amazon Bedrock
Condé Nast and AWS built a system that searches visual, audio, and transcript content across more than 140,000 videos and returns precise timestamps. It has run in production for six months. In a May 2026 benchmarking workshop, Condé Nast measured a drop in discovery time from 250 minutes to about 2 minutes per task and estimated annual operational savings of about $800,000.
超过 14 万条视频的生产环境应用，以及明确标注测量来源和估算性质的效率数据，为多模态检索提供了具体案例。
材料 abb18f3c3e864eb1887fcaa5ec5ae6fc；建议 6de8083c314444ab87ed991f9d6f0815；系统证据核验通过，非人工审稿。
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