# Amazon — How Condé Nast built multimodal video discovery with Amazon Bedrock

- Company: Amazon (amazon.com)
- Announced: 2026-09-29T15:55:17+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/how-conde-nast-built-multimodal-video-discovery-with-amazon-bedrock/
- Record: https://forck.live/items/14998-how-cond-nast-built-multimodal-video-discovery-with-amazon-bedrock
- Subject: Bedrock / Nova

Condé Nast built a multimodal video discovery solution on Amazon Bedrock and OpenSearch Service that reduced editorial video search time from 250 minutes to under 2 minutes per task. The solution uses TwelveLabs Marengo embedding model accessed through Bedrock to index over 140,000 videos by visual, audio, and transcript signals, enabling intent-based semantic search.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/how-conde-nast-built-multimodal-video-discovery-with-amazon-bedrock/:

> This reduced discovery time from 250 minutes to under 2 minutes per task.

---

Record: https://forck.live/items/14998-how-cond-nast-built-multimodal-video-discovery-with-amazon-bedrock
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md