Rediscovering music
summary
Conference panel explains that streaming pushes catalogue to over 50% of music consumption (video ~60%) and that discovery depends on metadata and AI not just topics. Digital ReLab ships an open MVS that uses computer vision, NLP, Hadoop/NoSQL and plug‑in AI to index everything from WAV stems to contracts; it powers a Bob Dylan archive project now about 85 percent processed and surfaces forgotten takes that create bootlegs and licensing revenue. Complex Media built a proprietary CMS/image library but faces siloed Snapchat/YouTube/Facebook assets and needs automated indexing to reuse clips, generate lists and feed playlists.
AI-written summary · about
chapters (10)
- 0:00Introduction and speakers
- 2:11Music consumption trends
- 3:17Content management challenges
- 5:41Metadata and content intelligence
- 9:56Bob Dylan case study
- 11:43Catalog music discovery
- 13:28Derivative content formats
- 16:18Playlists as new radio
- 17:45AI and future innovations
- 18:28Legacy content strategy
related talks
13mRevolutionizing the Music Industry with Data Science
59mClosing Keynote: Paul Lamere
20mSonic Disruptions How AI Will Transform the Music Business
20mDid tech save the music industry?
30mWhich episode? Using AI to streamline media content operations
16mPerspectives matter:Deliver value with hypermedia
40mPowering Spotify's Audio Personalization Platform
41mMusic and Machine Learning