2022 is poised to be a breakthrough year for the application of AI/ML in premium video at scale, driven by a greater alignment between technical capabilities and market need. Recent advancements in the use of AI/ML can help media companies understand and analyze video (live and on-demand) to create actionable metadata around content assets, generate and manage new content, improve advertising efficiency, and streamline operations. This session will explore some of the most compelling, real-world use cases leveraging AI/ML in video that are both practical and achievable at scale. Specifically, this session will discuss new ways that AI can be used to analyze media assets to enhance video experiences in near real-time, including:
1. Segmentation: The ability to automatically generate rich metadata of video content, reducing manual processes, to create optimal viewing experiences, chaptering with automated titles and summaries, and smart thumbnails.
2. Live to VOD: Generating live to VOD assets, particularly around automated playlists, clips, or highlights that can then be leveraged for additional monetization.
3. Contextual Advertising: Improving ad efficacy allows users to serve ads based on contextual information included in the video being watched. It detects content for brand opportunities or sensitivities, improving the value of ad breaks.