How Condé Nast built multimodal video discovery with Amazon Bedrock
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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Qué ocurrió
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.
Por que importa
The development may change operating conditions or market expectations around Amazon. Further confirmation and measurable outcomes matter.
Entidades afectadas
Ver evidencia
3 articulos · 1 informe original · 1 independientes
- AWS Machine Learning BlogFuente primaria · Respalda · EN · 100%How Condé Nast built multimodal video discovery with Amazon Bedrock ↗
- AWS Machine Learning BlogFuente primaria · Respalda · EN · 52%Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore ↗
- AWS Machine Learning BlogFuente primaria · Respalda · EN · 49%Prompt engineering fundamentals for Amazon Quick ↗
Afirmaciones
- How Condé Nast built multimodal video discovery with Amazon Bedrock Observado
Conflictos
No se detectaron conflictos importantes en la evidencia disponible.
Cronología
- Primera publicación
- Fuente primaria · 64/81%
Movimiento del mercado posterior al evento
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