This solution brief explains how AI transforms digital asset management (DAM) by automating metadata generation, data labeling, and visual search across images, video, and text. It addresses common DAM challenges such as inconsistent tagging, slow search, poor asset discoverability, and scalability issues as asset libraries grow. By leveraging computer vision, NLP, and automated annotation, organizations can reduce labeling time by up to 80% and analyze content up to 100x faster than manual processes. The solution enables richer metadata, visual similarity search, logo detection, content moderation, and trend analysis to improve governance, brand consistency, and asset reuse. Overall, AI-driven DAM improves productivity, accelerates time-to-value, and enhances user experience by making ass

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