Reduce cost and Monetize Video Streaming with AI/ML
Video streaming is predicted to account for a staggering 82 percent of the total internet traffic by 2022. From basic android mobile to 4K premium tv u2013 viewers are watching content on devices with varied resolutions, compute & capability. The massive amount of data streaming presents challenges to broadcasters, content distribution networks, such as buffering issues, low resolution, poor quality, high operating cost, monetization, etc. AI/ML helps to overcome these challenges by providing the highest possible quality of experience (QoE) and quality of service (QoS). AI/ML models can enable broadcasters and content providers to unearth opportunities to reduce streaming costs, enhance the viewer quality of experience, and improve viewer engagement using smart advertisement & video analytics by using AI/ML models throughout the media workflow. This blog discusses the use of different AI/ML models in video streaming to enhance QoE and QoS.
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