Chris Tynan lives in London (the UK) and works as a Director of Data at DistroKid. Before joining DistroKid, Chris had been working at intersection of music, data and tech at Utopia Music and Spotify, as well as as a Lead Data Scientist in the UK Government Administration.
DistroKid is is the world’s largest music distributor to Spotify, Apple, Amazon, Tidal, TikTok, YouTube and all major streaming services. Most new music today is released through DistroKid and every day, millions of musicians rely on its products.
Topics that we talk about include:
What DistroKid is, who uses it and how it works
Data collected and analysed by DistroKid
ML and AI in music distribution e.g. detecting bad actors
Generative AI in the music industry e.g. deepfake voice
Democratisation of music creation with Generative AI, mobile devices, social media
Tech and ML/AI stack used and evaluated by DistroKid e.g. AWS, Redshift, dbt, Redash, Whisper, Amazon Rekognition
Very interesting tools in the ML/AI landscape e.g. Hugging Face, Modal
What makes working at DistroKid unique
The podcast was recorded by Adam Kawa (GetInData). Find more about our data, analytics, ML/AI, cloud, and MLOps projects and services at getindata.com.
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