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Beyond the Playlist: How AI Soundtracks Are Creating a B2B Revolution in Wellness Apps

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Manage episode 491682987 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
The generic, one-size-fits-all playlist in your fitness or meditation app is officially outdated. This model is expensive for app developers and fails to connect with your unique, in-the-moment experience. This episode explores the disruptive B2B revolution happening in the digital wellness industry. We dive into how AI companies are building generative music engines that create personalized, adaptive soundtracks in real-time. Imagine a running app where the music’s tempo and intensity perfectly match your heart rate, pushing you on the hills and relaxing with you during the cool-down. This isn’t a future concept; it’s a powerful technology that wellness companies are licensing right now to boost user engagement and retention, creating a new, lucrative market for functional music. Key Takeaways: - How can real-time biometric data transform a simple workout playlist into a personal DJ? - Why are wellness apps moving away from expensive, chart-topping music licenses? - What does a B2B licensing deal for an AI music engine actually look like? - How does an AI generate a unique soundtrack for every user, every time? - Is the AI the artist, or is it the user whose body is controlling the music? - What new opportunities does this create for musicians and composers? - How do companies like Endel create a consistent brand sound with an ever-changing output? - What are the technical hurdles of integrating an AI music SDK into an existing app? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818
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20 episodes

Artwork
iconShare
 
Manage episode 491682987 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
The generic, one-size-fits-all playlist in your fitness or meditation app is officially outdated. This model is expensive for app developers and fails to connect with your unique, in-the-moment experience. This episode explores the disruptive B2B revolution happening in the digital wellness industry. We dive into how AI companies are building generative music engines that create personalized, adaptive soundtracks in real-time. Imagine a running app where the music’s tempo and intensity perfectly match your heart rate, pushing you on the hills and relaxing with you during the cool-down. This isn’t a future concept; it’s a powerful technology that wellness companies are licensing right now to boost user engagement and retention, creating a new, lucrative market for functional music. Key Takeaways: - How can real-time biometric data transform a simple workout playlist into a personal DJ? - Why are wellness apps moving away from expensive, chart-topping music licenses? - What does a B2B licensing deal for an AI music engine actually look like? - How does an AI generate a unique soundtrack for every user, every time? - Is the AI the artist, or is it the user whose body is controlling the music? - What new opportunities does this create for musicians and composers? - How do companies like Endel create a consistent brand sound with an ever-changing output? - What are the technical hurdles of integrating an AI music SDK into an existing app? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818
  continue reading

20 episodes

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