Soyoung Lee, TwelveLabs | AWS Summit NYC 2025 скачать в хорошем качестве

Soyoung Lee, TwelveLabs | AWS Summit NYC 2025

In this exclusive conversation from AWS Summit NYC, Soyoung Lee, Co-Founder and Head of Go-to-Market at TwelveLabs, joins theCUBE’s John Furrier to explore how the company is tackling one of AI’s most complex frontiers: multimodal video understanding. Twelve Labs is building powerful foundation models that can “see,” “hear,” and “understand” videos like humans do. With native support for video, audio and text inputs, the company enables enterprises to extract deep context from vast video libraries using APIs or integrations via Amazon Bedrock. Lee shares how Twelve Labs is helping media studios, sports leagues, ad tech platforms and safety organizations automate time-intensive workflows like semantic video search and content tagging. She dives into the company’s architecture, highlighting their proprietary embedding model Marengo, now optimized for vector databases including S3 Vector Store, and their video-language model Pegasus. The conversation also touches on developer traction, scaling with AWS partners and what it takes culturally to innovate in one of the hardest technical problem spaces in AI. This interview is a must-watch for anyone building with foundation models, deploying multimodal AI at enterprise scale, or curious about what the future of intelligent video understanding looks like in practice. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Unveiling Twelve Labs: Mission, Model, and the Future of Video Understanding 03:50 - Application in Media and Sports 06:01 - Technology and Model Implementation 08:53 - Driving Enterprise Success Through Customer Engagement and Strategic Focus 12:47 - Building the Future: Cultivating Culture, Talent, and Opportunities #theCUBE #AWSSummitNYC #TwelveLabs #AWS #MultimodalAI #VideoUnderstanding #AIInfrastructure