How can you unlock more value from music catalogues using AI? Harmix CTO Dmytro Lopushanskyy explains how this AI tech works – and how artists should be able to opt music out of AI model training

Music Ally Focus

Ep 141: Dmytro Lopushanskyy, CTO of AI-powered song analysis and discovery tool Harmix, joins Joe to explain how tools like his actually work, and how they can find overlooked songs that are buried deep in catalogues. Dmytro also talks about what life in the music industry may be like when we have useful AI assistants, and how artists and rightsholders should be able to opt their music out of training AI models.

Harmix uses AI to sift through giant catalogues of music with the intention of helping people – like music supervisors – find music they can use in video film and TV. It lets users search with words, images, videos and other music to find music that best matches what’s in their heads. In this Music Ally Extra episode, made in partnership with Harmix, Dmytro explains where technology like this is headed, what benefits it will bring, and why taking an ethical approach to training AI models is so important.

Try Harmix Search: https://web.harmix.ai
Interested in evaluating using Harmix with your own catalogue? Email [e-mail] to request a free test and in-depth discoverability report.

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