Multimodal AI is revolutionizing the media and entertainment industry by enabling new possibilities in content creation, production, and user engagement. By integrating various data types such as text, images, audio, and video, multimodal AI systems can interpret and generate content with the same nuanced context as humans. This technology is transforming everything from scriptwriting and location scouting in pre-production to object removal and scene stabilization in post-production, making the creative process more efficient and innovative.
One of the most exciting applications of multimodal AI is in video understanding, where multimodal foundation models analyze and interpret video content to provide deeper insights and more accurate recommendations. For instance, Twelve Labs' technology can automatically search and classify digital assets, streamline post-production workflows, and enhance user engagement through personalized content recommendations. By leveraging the power of multimodal AI, M&E companies can create more engaging and interactive experiences for their audiences, ultimately driving higher levels of satisfaction and retention.
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Los Angeles is rapidly becoming a hub for AI innovation, thanks to its unique position at the intersection of Silicon Valley tech and Hollywood creativity. The city's vibrant AI community includes researchers, engineers, artists, and entrepreneurs who are working together to drive the future of AI-powered M&E. With a rich ecosystem of startups, established tech companies, and leading research institutions, Los Angeles is poised to become a global leader in AI development and application.
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Twelve Labs' innovative solutions are designed to streamline various aspects of video production and management. Our technology supports applications such as asset management, post-production workflow optimization, user engagement enhancement, and contextual advertising. For instance, our Search API enables users to find specific moments within vast video libraries quickly, our Classify API organizes videos into predefined categories, and our Generate API generates open-ended text about the input video. Additionally, our new Embed API and conversational agent Jockey further enhance the user experience and operational efficiency in the M&E industry.
FBRC.ai, co-organizer of the hackathon, is a venture studio dedicated to pioneering AI-driven solutions for the entertainment industry. Born from the AI LA community, FBRC.ai focuses on bridging the gap between AI innovation and practical applications in media and entertainment. They support early-stage AI startups by providing resources for product development, sales, and business challenges, while also fostering a community of AI entrepreneurs and creatives. FBRC.ai's mission is to ensure the ethical and responsible development of AI technologies, helping storytellers and content creators leverage AI to produce immersive and interactive experiences.
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Asset Management: Our technology transforms asset management by making video archives easily searchable. This uncovers new value in your media library, monetizing previously unused content. The automatic retrieval and classification of videos allow media companies to manage digital assets efficiently and locate specific clips quickly, creating new revenue opportunities.
Post-Production Workflows: Our platform enhances efficiency in media production by streamlining post-production workflows. It uses state-of-the-art foundation models to instantly locate the perfect clips across all footage, which reduces the time spent on manual searching & sorting and allows editors to focus on the creative aspects of their work. Applicable to film, TV, or digital content, it accelerates the editing workflow and ensures polished, engaging final products.
User Engagement: Enhancing user engagement is crucial for media platforms looking to retain and grow their audience. Our video embedding model creates multimodal embeddings that enable semantic search and content recommendation features. Such personalized recommendations improve user experience, increase platform usage, and drive higher engagement.
Contextual Advertising: Our solutions maximize ad revenue by analyzing video content to identify optimal ad placement moments, ensuring that they are relevant and non-intrusive. This targeted approach increases ad effectiveness, improves ROI for advertisers, and boosts revenue for media companies through precise contextual targeting.
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The hackathon will feature four exciting challenges:
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Participants in the Multimodal AI in Media & Entertainment Hackathon will have access to a wealth of resources from Twelve Labs to help them succeed in their projects. These resources include comprehensive API documentation, tutorials, and SDKs that provide detailed guidance on how to leverage our video understanding platform.
Besides Twelve Labs, we have additional sponsors including AWS and Fireworks. Details about sponsors and judges can be found in the up-to-date hackathon page.
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Register now at https://lu.ma/12labshack to secure your spot and help drive the future of AI in entertainment! Spaces are limited, so don't wait. Join us in Los Angeles, CA, on June 8-9, 2024.
Introducing our new Embed API in Open Beta, enabling customers to generate state-of-the-art multimodal embeddings.
See how video foundation models can radically accelerate your film making timeline.
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