<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yestino - The Signal · How Condé Nast</title><link>https://yestino.com/entities/how-conde-nast-a4130f</link><description>Every event involving How Condé Nast</description><language>en</language><atom:link href="https://yestino.com/entities/how-conde-nast-a4130f/feed.xml" rel="self" type="application/rss+xml"/><item><title>How Condé Nast built multimodal video discovery with Amazon Bedrock</title><link>https://yestino.com/events/how-conde-nast-built-multimodal-video-discovery-with-amazon-5e3bff</link><guid isPermaLink="true">https://yestino.com/events/how-conde-nast-built-multimodal-video-discovery-with-amazon-5e3bff</guid><pubDate>Tue, 29 Sep 2026 15:55:17 GMT</pubDate><description>Condé Nast&apos;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.
Sources: AWS Machine Learning</description></item></channel></rss>