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AI Music Platforms

Mubert, the "Radio for Generation Z," Creates Unique Music for Users

— July 22, 2019 — Pop Culture
Mubert, dubbed the "radio for Generation Z," is a generative music app that uses artificial intelligence to create unique music for individual users. With the app, users are able to tune into music for various activities like working, studying, relaxing and sleeping, as well as popular genres and even location-inspired music that's suited to a shop or cafe setting.

Based on a simple like or dislike system, giving feedback to the AI system is easy so that the app is better able to cater to one's musical preferences over time. While the experience of listening to music on the app is highly tailored, users can choose to share their favorite moments on social media.

When it comes to discovering new options, users may also try Mubert's Random, Experimental and Daily Channels.
Trend Themes
1. AI-powered Music Discovery - The integration of artificial intelligence in music platforms provides personalized listening experiences to users and can enhance music discovery for users.
2. Generative Music - Generative music created by AI algorithms offers a new form of music composition, where music can be continuously created without repetition.
3. Location-based Music - Location-based music can be tailored to the environment, allowing for unique listening experiences for users of different backgrounds.
Industry Implications
1. Music Streaming - Using AI technology to create personalized and location-based music can disrupt the music streaming industry by offering more engaging experiences to users.
2. Media and Entertainment - AI-powered music platforms offer new opportunities to create and distribute music in unique ways, which can disrupt traditional media and entertainment industries.
3. Retail and Hospitality - Location-based music can be tailored to the environment, offering a unique experience to users in the retail and hospitality industries, who can use this to create immersive environments for their customers.
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