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Artist Discovery with Machine Learning & AI | Building Tools for A&R
Project Type
Machine Learning, AI, Data Integration, Artist Discovery, Chartmetric, A&R
Date
July 2024
Location
Miami
Role
Intern at Universal Music Group | Universal Music Latino
Conducted A&R research on 23 unsigned artists to support new artist identification and label signing decisions.
Machine learning enhances artist discovery by analyzing audio features, predicting hit potential, and identifying emerging trends or talent through data from streaming and social platforms. AI-powered tools streamline A&R processes, boost exposure for undiscovered artists, and provide insights into listener behavior to support data-driven talent development.
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