Blog
Thoughts and resources on music industry and AI
An Overview of Data in The Music Industry
This article is a continuation of the series “How to Turn Music Data into Actionable Insights”. We’re diving deeper into the first layer of the Data Pyramid...
Cyanite API Update – New Sub-Genres and More
We are proud to announce our latest API update. This update includes new sub-genres, improved genres, improved similarity search, and more. For details, see...
How to Turn Music Data into Actionable Insights
Decisions in the music industry are increasingly made based on data. Services like Chartmetric, Spotify for Artists, or Facebook Business Manager among others...
How to Use Cyanite to Optimize Your Playlists and DJ Sets for Harmonic Mixing and Similarity
If you're a DJ or playlist curator, you know exactly how much time goes into finding, curating, and maintaining your playlists and DJ crates. But many DJs and...
PR: APM Music Partners with Cyanite to Enhance Music Tagging
PRESS RELEASE APM Music partners with Cyanite to Enhance Music Tagging Mannheim/Berlin/Los Angeles, September 9, 2021 - APM Music, the largest production...
How Do AI Music Recommendation Systems Work
Music recommendation systems can significantly improve the listening and search experience of a music library or music application. Algorithmic recommender...
How BPM Supreme enriched their music services with AI-generated moods and search algorithms from Cyanite
BPM Supreme is a digital music service delivering a wide choice of music for professional DJs, producers, and artists through an online platform and mobile...
Music Ally Startup Files with Cyanite
One and only Music Ally covered us in their latest StartupFiles. In an interview with two of Cyanite's co-founders, Markus and Jakob, they explain how we want...
Case Study: How SWR uses Cyanite’s recommendation algorithms for their new radio app
About SWR SWR is not only Germany’s 3rd biggest radio station but also investing heavily in the future of radio via its own innovation entity SWR audiolab....
How AI Empowers Employees in the Music Industry
According to a McKinsey report, 70% of companies are expected to adopt some kind of AI technology by 2030. The music industry is not an exception. Yet, when...