Cloudinary, the image and video platform that powers many of the world’s top brands, introduced a series of enhancements to its digital asset management (DAM) platform, Cloudinary Assets, including AI-powered People Search, and powerful new analytics. Customers can now identify people-specific content across libraries in seconds, and monitor platform and content usage and performance via user-friendly dashboards to optimize content operations and governance.

With People Search in Assets, teams can automatically detect and label individuals in images and create named groupings (e.g., brand talent, employees) so people-specific content is easy to find. New uploads featuring those individuals are auto-associated to the same groupings, keeping libraries current without manual work. In addition, new and enhanced analytics provide comprehensive asset reporting to help creative and marketing teams streamline discovery, strengthen governance, and focus on what performs.

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“The ability to deliver engaging visual experiences at scale is expected in today’s online world. Consumers expect it and marketers and developers deserve tools that allow them to move fast with greater ease and confidence,” said Rob Daynes, Managing Director of Assets, Cloudinary. “These enhancements optimize workflows so teams can accelerate delivery, maintain compliance, and drive stronger returns from creative initiatives.”

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Game-changing intelligence and efficiency gains

Hundreds of brands rely on Cloudinary’s AI-powered DAM to manage huge asset volumes, improve collaboration, save thousands of hours on repetitive tasks, improve user experience and increase conversions. Highly connected and backed by game-changing intelligence, Cloudinary Assets supports every single team involved in managing visual media workflows across the enterprise, and its ecosystem of agencies and partners. Its embedded AI automates creative review and approval workflows, and enables auto-tagging and visual search for simpler asset classification and discovery.

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Cloudinary’s AI Vision utilizes LLM capabilities, specialized models and advanced algorithms to interpret and respond to visual content queries like “Does this image contain a person?” and “Is the model facing left?” allowing users to leverage visual content queries and prompts to drive automation of key processes, including image classification and custom tagging. AI Vision reduces the intricacies of training custom AI models with a flexible, ready-to-use solution within the Cloudinary platform, enabling teams to streamline content management operations and improve classification at scale.

What’s more, AI-powered content moderation and content credentialing with C2PA compliance helps ensure brand compliance and customer confidence in every asset, even as library volumes increase and user generated content (UGC) and AI content proliferate.

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Source – businesswire

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