Agents1 min read
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...
By OpenSmartRoute editorial · attributed excerpt
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.
Read the original at AWS machine learning blog: How Condé Nast built multimodal video discovery with Amazon Bedrock
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AWS machine learning blog
How Condé Nast built multimodal video discovery with Amazon Bedrock
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