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The integration of AI into music platforms began gaining traction in the early 2010s, driven by advancements in machine learning and big data analytics. One of the initial breakthroughs was the use of recommendation algorithms to enhance user experience on streaming services like Spotify and Apple Music. 

These algorithms analyzed listening habits and preferences to curate personalized playlists and music suggestions, significantly improving user engagement and satisfaction. The success of these features demonstrated the potential of AI to innovate how people discover and consume music.

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