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In this exciting episode of Data Strategy Guru's, host Yves Mulkers sits down with Roman Gebhardt, the founder of Cyanite, to explore the fascinating ways in which AI is revolutionizing the music industry. From transforming music search and categorization to optimizing energy in DJ sets and even creating seamless flow in playlists, Roman delves into the power of AI algorithms in understanding and enhancing our connection to music. Join us as we discuss the potential of large language models, the importance of accessibility and discovering new music, and the ethical considerations surrounding AI in the music world. Don't miss out on this insightful conversation that will open your ears to the future of music!
Roman Gebhardt is a key player at Cyanite, a company that specializes in providing music tagging, categorization, and search solutions. With a focus on aiding both individuals and companies, they assist in organizing and enriching music catalogs with metadata, allowing for easier search experiences.In a world where vast catalogs with millions of tracks exist, Cyanite helps ensure that music can be readily discovered by anyone. With their innovative approach, they tackle the challenge of sifting through a vast amount of music and offer solutions that allow users to find the perfect tracks for their specific needs.
[00:00] Intro[03:01] B2B and B2C music library solutions.[04:49] Prompt-based search for film scenes and music descriptions.[09:46] Limited analysis; upload 100 tracks; metadata tagging[13:38] Artistic use, valuable for customers with catalogs.[17:41] Large language models match text to media. Moving away from strict taxonomy. Music accessible through text.[19:47] Surprising music combinations defy traditional categorization.[25:20] AI developments outpacing legal regulation in music.[27:30] Roman fascinated by electronic music, especially in Berlin.[30:24] Thanks for listening to our podcast!
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