EXTRACTING BUSINESS INTELLIGENCE FROM VIDEO CONTENT AT SCALE: 80% FASTER INSIGHTS The Pain of Manual Video Analysis — 40 Hours per Month For a content creator like Marques Brownlee, analyzing 20 hours of video content from a recent conference using tools like Otter.ai and Descript can take around 40 hours per month, with a significant portion of that time spent reviewing transcripts, summarizing key points, and extracting quotes. This process not only delays the creation of valuable content but also costs around $2,000 per month in labor costs. With over 500 hours of video content being uploaded to YouTube every minute, the need for efficient video analysis has never been more pressing.…