Data science and streaming music - Interview with Jonathan Gosier

on YouTube ↗05m

" summary

AuDIGENT frames music data as stream science that captures play starts, stops, shares and repeat listens across Spotify, Pandora and YouTube, not just purchases. A Nielsen partnership lets analysis sweep the top 10,000 releases (roughly the top 1,000 artists) and reveals a fan coefficient — about a 1,000:1 threshold where 1,000 impressions produce one active fan — a measurable trigger that predicts hits, guides promotion spend, and enables new audience-data revenue streams for labels and brands.

AI-written summary · about

" chapters (4)

1. 0:00Intro
2. 0:55Data science in music
3. 2:43Data revolution in music
4. 3:33The future of music data

" related talks

• 04mMusic, the window into your soulChristine Hung · Strata Data Conference 2017 - New York, New York
• 34mBuilding a Large Music Recommender Leveraging AI, Deep Learning and Human ExpertiseÒscar Celma · WeAreDevelopers AI Congress Vienna 2018
• 03mCombining creativity and analyticsDavid Boyle · Strata Data Conference 2019 - London, United Kingdom
• 16mThe Benefit of Talking to the "Non-Datas"Caro Buck · rstudio::conf(2022)
• 11mData science: Next-gen performance analyticsKen Gardner · Velocity 2016 New York
• 23mBig data and big insightsJason Bloomberg, Jager McConnell, Zander Lurie, Gaurav Dhillon · Web Summit 2018
• 15mThe Secret Life of Data - Part 2Noam Fine, Jeff Barr, Tal Muskal · DLD Tel Aviv 2013
• 58mData-Based Decision Making Throughout Your Game's LifecycleAlexis Miller · Indie Game Business Sessions: Air edition 2021