Media Transformation: Leveraging Edge AI for Content Delivery and Interaction
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Abstract
AI’s influence on media and entertainment has changed content development, distribution, and consumption. Edge AI in media and entertainment advances business by solving old problems and fostering innovation and engagement. Implementing complexity, edge device processing power, and security threats must be addressed to exploit Edge AI’s promise. By using AI-driven solutions in digital marketing campaigns, firms may improve conversion rates, website engagements, and customer happiness to boost revenue. Edge AI transforms content delivery and audience interaction using scale computing to enhance speed, latency, and bandwidth utilization. Edge AI can analyze data closer to the source in media applications, create tailored and engaging user experiences, and assure efficient and robust system performance. AI makes augmented and virtual reality more dynamic and engaging. Hence, this paper proposes an Augmented Reality in Leveraging Edge AI for Media Transformation (AR-MT) on content delivery and interactive communication and cooperation with an online, real-time audience via digital platforms or apps. AI and AR/VR allow media firms to generate real-time content that reacts to audience actions and environmental changes. This technology makes audience interactions more natural and intuitive virtually, like in real life. It helps enterprises tailor information, improve user experiences, automate processes, and optimize resource consumption. Media companies may utilize AI-powered video editing tools to evaluate footage and produce user-specific highlight reels or montages. The proposed AR-MT framework for content creation technologies expedites content development, engages consumers, and responds to their preferences. It may also forecast and recommend user-friendly content based on viewing histories and audience interaction trends. It simplifies locating content and boosts platform time, improving engagement and loyalty.
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