Blog
Our thoughts and resources on music industry and AI
Blog
Our thoughts and resources on music industry and AI
How music platforms build personalized discovery with sound-based AI
Upgrade your music discovery. Sign up for Cyanite. Spotify set a new benchmark for personalized music discovery in 2015 with the launch of Discover Weekly, which now has as many as 751 million monthly users. All streaming platforms are now expected to provide that...
Analyzing music using neural networks: 4 essential steps
See how Cyanite analyzes your music catalog. Try it for free. Music catalogs grow by thousands of tracks every day. At that scale, listening to and tagging...
Jakob
CMO
How music platforms build personalized discovery with sound-based AI
Upgrade your music discovery. Sign up for Cyanite. Spotify set a new benchmark for personalized music discovery in 2015 with the launch of Discover Weekly, which now has as many as 751 million monthly users. All streaming platforms are now expected to provide that...
Latest Articles
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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...
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 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...
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...
The sound of Traumprinz: AI music analysis across all aliases
In the world of electronic music, shifting between different aliases allows artists to explore different sounds and demonstrate their versatility without...
How to create custom audiences for pre-release music campaigns in Meta and Google
As a music label, you know how hard it is to promote a new artist and cut through the noise. Most music advertising agencies and labels choose to do Facebook...
The 4 applications of AI in the music industry
A couple of weeks ago, Cyanite co-founder Jakob, gave a lecture in a music publishing class at Berlin’s BIMM Institute. The topic was to show and give...
An analysis of club sounds with Cyanite
If we asked you to describe the vibe of your favourite nightclub, could you? Today, we show you how we would describe the sounds of some of our favourite...
Cyanite talks #4 with Sarah Mibus
The guest for this #CyaniteTalks is Sarah Mibus. Sarah is an expert in music selection and planning and she works in close contact with radio and TV...