An Overview of Data in The Music Industry

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 and explore different kinds of metadata in the industry.  Metadata represents a form of knowledge in the music...
How to Turn Music Data into Actionable Insights

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 are powerful tools to enable music industry teams to back up their work with data. This process of collective...
How Do AI Music Recommendation Systems Work

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 systems have become inevitable due to increased access to digital content. In the music industry, there is just...
Free White Paper: 8 Tips How To Organize Your Music Catalog Better

Free White Paper: 8 Tips How To Organize Your Music Catalog Better

Only a song found is a song licensed. However, in big music databases, many great songs will be left undiscovered due to differences in metadata. Whether that is caused by several people with different interpretations working on your catalogue, or because you acquired...
The 4 essential steps for analyzing music with neural networks

The 4 essential steps for analyzing music with neural networks

The article was written by Cyanite data scientist Philipp Scholze. Intro As written in an earlier blog article, we at Cyanite focus on the analysis of music by using artificial intelligence (AI) in form of neural networks. Neural networks can be utilized for many...