How Condé Nast built multimodal video discovery with Amazon Bedrock
How Condé Nast slashed search times by automating video discovery with multimodal generative AI.
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 A...
AWS Machine Learning Blog
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Condé Nast's implementation proves that multimodal AI can drastically reduce operational bottlenecks by transforming unstructured video archives into searchable data. This shift from manual metadata tagging to automated visual understanding enables editorial teams to unlock hidden value in massive content libraries.
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