TwelveLabs

In the 79th session of #MultimodalWeekly, we have an exciting presentation on advanced multi-vector video retrieval at scale from our partner Vespa.ai! Specifically, Bonnie Chase and Zohar Nissare-Houssen will discuss Vespa.ai platform, customer use cases, and integration with TwelveLabs. 🤝 Sign up for the webinar on Friday here: https://lnkd.in/gJGtscSH ⬅️

What an incredible time at #NAB2025! 🎉 Our booth was buzzing with excitement, and we loved seeing everyone’s enthusiasm for our upcoming Amazon Bedrock integration. The energy, feedback, and ideas sparked there have us pumped for what’s next! Our speakers also brought game-changing insights that truly hit home with the crowd. A huge thank you to everyone who stopped by to explore our latest Video AI innovations—your passion is what makes these events unforgettable. 🚀 Check out some highlights from our booth below, and let’s keep the conversation going—drop us a note or connect for more. Can't wait to see you all again next year! #VideoAI #TwelveLabs National Association of Broadcasters

This just in! 🗞️ TwelveLabs’ cutting-edge multimodal foundation models, Marengo and Pegasus, will soon be available in Amazon Bedrock! This collaboration with Amazon Web Services (AWS) makes it easier for creators to unlock new opportunities in managing their content more effectively, enhancing video searchability and discoverability. 👨🏾💻 “We’ve been putting AI to work across the entire video value chain for IP holders, broadcasters and brands,”  shared our EVP of Strategic Industries, Lewis Smithingham “TwelveLabs in Amazon Bedrock makes it easier to realize opportunities for monetization in broadcast news, entertainment and sports by making it simpler and more secure to build and scale applications with powerful video understanding.” We can’t wait to see how this integration transforms the media and entertainment industries, streamlining video workflows. Read the article for more 👉🏽 https://lnkd.in/gWdfnVV6

TwelveLabs models are coming soon to Amazon Bedrock 🏇🔍🎬 https://go.aws/4iYQskZ Imagine searching video as easily as text—just CTRL + F and find exactly what you need. That's TwelveLabs. AWS will be the first cloud provider to offer these state-of-the-art video understanding models, available fully managed in Amazon Bedrock. Unlock the full potential of enterprise video assets using TwelveLabs in #AmazonBedrock. #AWS #generativeAI

TwelveLabs' state-of-the-art models that understand video inputs are coming soon to Amazon Bedrock. Amazon Web Services (AWS) is the first cloud provider to offer Marengo and Pegasus—excited for this new collaboration that will bring more of the best and latest AI models to customers. https://lnkd.in/gBNJeAv2

Check out TwelveLabs’ CEO Jae Lee at Web Summit Qatar as he breaks down the complex world of synthetic data. 🎤 Jae shares insights on balancing innovative AI model development with strict data privacy and governance. Learn why meticulous planning and understanding your data sources are key to building sustainable AI technologies! #VideoAI #TwelveLabs #WebSummit #DataPrivacy

🎉 We're super excited to announce our collaboration with Amazon Web Services (AWS)! Our video AI models, Marengo and Pegasus, are coming soon to Amazon Bedrock. This collaboration is set to revolutionize how developers and enterprises utilize video content across the globe. 🔍 "Video contains nearly 80% of the world's data, yet most of it remains unsearchable and underutilized," explains Jae Lee, CEO of TwelveLabs. "By making our models available through Amazon Bedrock, we're empowering even more enterprises to bring video understanding to their existing infrastructure.” 🌟 Imagine sports teams pulling up instant replay highlights or broadcasters managing vast archives effortlessly. That's the future we're enabling. "By bringing TwelveLabs’ advanced models to Amazon Bedrock, we’re helping our customers make sense of any video moment, unlocking the full value of their treasured video assets," says Samira Panah Bakhtiar, GM at AWS. 🚀 This is more than just technology—it's about creating a smarter, more connected world. As we continue our journey with AWS, we’re excited to push the boundaries of what's possible with video AI. 🔗 For more on how this tech is changing the game for media, entertainment, and beyond, read the full release: https://lnkd.in/gWdfnVV6 #VideoAI #TwelveLabs

Find us at the National Association of Broadcasters Show 2025! 🌟 We're all set with a packed schedule of exciting talks and panels. Here’s where you can find us: 🎥 Saturday, April 5th: Join Soyoung Lee at the SMPTE Future of Cinema Conference as she dives into Movie AI—live demos of the latest Gen AI and ML tools. 🔊 Sunday, April 6th: Don't miss Danny Nicolopoulos at the AWS Theater for some thrilling announcements from TwelveLabs and Jae Lee at the AWS West Hall for an interview. 🤝 Monday, April 7th: Chad Rounsavall is teaming up with Dyn Media GmbH’s Moritz Michael Mücke to discuss revolutionizing sports content creation. 💼 Also on Monday: Catch Soyoung at the Sports Summit and don’t miss Danny’s session on leveraging AI for true video intelligence. 📍 Be sure to visit us at booth W3921 throughout the show for more insights and innovation. See you all in Vegas! #TwelveLabs #VideoAI #NAB2025

TwelveLabs is now powering the next phase of Quickplay’s Shorts workflow! Join us at the National Association of Broadcasters Show for a live demonstration of how our multimodal AI models are revolutionizing short-form sports content creation. 📅  Come see it in action at the AWS Theater on April 8 from 12:15-12:45 PM PT, where Quickplay co-founders Paul Pastor and Juan Martin will showcase how instant video analysis and timestamps can transform fan experiences and engagement. 🎥 With Quickplay Shorts, broadcasters can now produce dynamic, immersive live shorts at unprecedented speeds, thanks to our models. This innovative collaboration allows sports broadcasters to capture every thrilling moment, keeping audiences engaged.  🔗 For more details or to schedule a demo, visit us at booth W3921! https://lnkd.in/eDw-TmMw #VideoAI #TwelveLabs #NAB2025

🎯 We are excited to announce the latest technical tutorial showcasing the powerful integration between TwelveLabs Embed API and Oracle Database 23ai for advanced video search capabilities! This integration represents a significant leap forward in making video content searchable and accessible at an enterprise scale. 🔬 Our detailed tutorial walks developers through the complete implementation process: - Generating video embeddings using our Marengo 2.7 model - Storing these embeddings efficiently in Oracle Database - Implementing semantic search using Oracle's vector_distance function with COSINE similarity - Processing multiple queries in batches for optimal performance - Retrieving precise video segments with accurate timestamps 💡 What makes this integration particularly powerful is the combination of TwelveLabs' advanced video understanding capabilities with Oracle's enterprise-grade infrastructure. Our video foundation models, trained on Oracle Cloud Infrastructure, deliver a human-like perception of video content, while Oracle Database 23ai provides robust vector search functionality in a unified database environment. 🏢 For businesses, this means: - More intuitive video content discovery based on meaning rather than keywords - Reduced infrastructure complexity by eliminating the need for separate specialized databases - Enterprise-grade scalability and security - Faster time-to-market for video-powered applications 🧑💻 For developers, we have focused on creating a streamlined experience: - Simple Python implementation - Efficient batch processing - Comprehensive code examples - Clear documentation and step-by-step guidance Ready to transform how your organization handles video search? Check out our complete tutorial with code examples in the comments below 👇