Without metadata, the music industry would come to a standstill. This vital information is required in order to manage music files, allowing data to be properly created, stored, sorted and used in a wide range of applications. Truly, metadata is a centerpiece of the industry, uniting music creation, copyright, royalties, music discovery and technology.
Spotify’s recent acquisition of Paris-based machine learning startup Niland is indicative of the increased industry focus on using AI and ML to develop sophisticated music recommendation technology. Spotify and many other platforms currently use collaborative filtering, which analyzes public sources of information, such as blogs, to determine when multiple artists, albums or songs are referenced in the same context. On the other hand, Niland works by pulling important information from raw music content and subsequently forming those connections with other artists in order to provide meaningful music recommendations to users.
Read Article: DataArt