EMAM, Inc. and Twelve Labs Inc. are preparing to present their innovative combined solution at the upcoming National Association of Broadcasters (NAB) show in Las Vegas. This partnership aims to revolutionize how organizations handle their ever-growing volumes of video content, both current and historical, by leveraging advanced AI technologies. The solution is designed to address the challenges of tagging and organizing media efficiently, even with limited resources.
Twelve Labs brings to the table its cutting-edge multimodal AI models, including Marengo 2.6 for search and Pegasus-1 for text generation. These models are capable of understanding video content contextually, allowing for seamless search functionalities and the automatic creation of summaries, chapters, titles, and transcripts. EMAM enhances this with its traditional search features and filters, alongside a new natural language interaction panel, enabling users to quickly locate specific video segments or entire videos.
David Miller, President of EMAM, highlighted the significance of this collaboration, stating, 'Powerful AI tools will make every media library more useful and valuable.' Jae Lee, CEO of Twelve Labs, emphasized the efficiency gains, noting the challenges of manual video logging and the scalability offered by their AI models within EMAM's platform.
The integrated solution not only simplifies content discovery and organization but also supports creative workflows through integration with Adobe Creative Cloud and DaVinci Resolve. Additionally, the EMAM platform facilitates the management of storage and retrieval across various resolutions and systems, ensuring that finalized projects can be easily shared across different platforms and formats.
For more information on how EMAM and Twelve Labs are transforming video content management, visit https://www.emam.com and https://www.twelvelabs.io.
