Condé Nast cuts video discovery to under two minutes with Amazon Bedrock
Condé Nast editorial teams previously 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, the publisher built a multimodal discovery solution with Amazon Bedrock and Amazon OpenSearch Service, bringing discovery time to under two minutes.

Full Report
Condé Nast editorial teams used to spend an average of 250 minutes on each task searching a library of more than 140,000 videos. AWS says the teams relied only on titles and descriptions, the workflow its multimodal video-discovery solution was built to improve.
Condé Nast worked with the AWS Generative AI Innovation Center to build the solution using Amazon Bedrock and Amazon OpenSearch Service. AWS reports that video discovery time fell to under two minutes.
The case study’s clearest measure is the before-and-after search time: a task that previously took the editorial teams hours can now be completed in less than two minutes, according to AWS. For teams searching large existing video libraries, that offers a concrete measure of the potential workflow improvement.
Why This Matters
For editorial teams managing large video archives, the time needed to find usable material is a practical workflow constraint. AWS’s figures provide a concrete benchmark for the difference its solution made in Condé Nast’s library of more than 140,000 videos.
Evidence
Start with the primary evidence, then review supporting sources and context.
Primary Evidence
1How Condé Nast built multimodal video discovery with Amazon Bedrock
Mariah Miller
“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.”
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