AWS Machine Learning Blog· Mariah Miller·· 2026-09-29
How Condé Nast built multimodal video discovery with Amazon Bedrock
How Condé Nast built multimodal video discovery with Amazon Bedrock
AI summary
Condé Nast's editorial teams spent an average of 250 minutes per task searching a library of more than 140,000 videos using only titles and descriptions. Working with the AWS Generative AI Innovation Center, they built a multimodal video discovery solution on Amazon Bedrock and Amazon OpenSearch Service that cut discovery time to under 2 minutes.
Selection record
Threshold 60Official, first-handFirst 30Second 22
Not admittedSum of both 52 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：多模态AI视频检索方案，含模型与架构
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com