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.
What happened
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.
Why it matters
The development may change operating conditions or market expectations around Amazon. Further confirmation and measurable outcomes matter.
Affected entities
View evidence
3 reports · 1 original report · 1 independent
- AWS Machine Learning BlogPrimary source · Supports · EN · 100%How Condé Nast built multimodal video discovery with Amazon Bedrock ↗
- AWS Machine Learning BlogPrimary source · Supports · EN · 52%Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore ↗
- AWS Machine Learning BlogPrimary source · Supports · EN · 49%Prompt engineering fundamentals for Amazon Quick ↗
Claims
- How Condé Nast built multimodal video discovery with Amazon Bedrock Observed
Conflicts
No material conflict detected in the available evidence.
Timeline
- First reported
- Primary source · 64/81%
Market move following event
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