This whitepaper focuses on how AI processes and understands multimedia data, including images, video, audio, and text. It outlines the challenges of analyzing unstructured multimedia content and explains how computer vision, natural language processing, and speech recognition work together to extract meaning. The paper covers tasks such as classification, detection, transcription, tagging, and content moderation. It also discusses system architecture considerations for handling large-scale multimedia pipelines. Real-world applications across media, entertainment, enterprise, and public sector environments demonstrate how AI-driven multimedia understanding improves efficiency, insight generation, and decision-making.

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