AI Is Becoming A Favourite Music Streaming Partner
Leading music streaming platforms extensively depend on AI to understand user preferences and deliver personalised playlists and recommendations, encouraging longer sessions and more frequent interactions.
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Artificial Intelligence (AI) has taken over the music streaming industry and become one of its main pillars. In this rapidly evolving industry, AI has emerged as a game-changer, transforming the way people discover and enjoy music. Gone are the days of generic playlists; today, AI algorithms personalise musical experiences to individual tastes, making the world of music more accessible and enjoyable than ever before.
Leading music streaming platforms extensively depend on AI to understand user preferences and deliver personalised playlists and recommendations, encouraging longer sessions and more frequent interactions. This gives platforms a competitive advantage as users are more likely to stay engaged with a platform that consistently offers content tailored to their tastes. Considering that–streaming revenues dominate the MENA music market share, holding a staggering 98.4% market share, and have outpaced global growth.
AI’s impact on the music streaming industry can be seen through various aspects:
Gauging Users’ Preferences
AI-driven music streaming services utilise sophisticated algorithms to analyse vast amounts of data and understand user preferences. These algorithms consider various factors, such as listening history, genre preferences, mood, and even the time of day, to create a personalised musical profile for each user.
By deciphering these patterns, AI can accurately predict what a listener might enjoy next, ensuring a seamless and enjoyable experience. This deep understanding allows platforms to offer highly tailored recommendations, enhancing user engagement and satisfaction.
Discovering New Artists
Rather than being restricted to a narrow selection of mainstream hits, listeners can now delve into a wide and diverse musical world. AI algorithms are exceptional at revealing hidden gems and introducing niche and new artists, tailored to their unique preferences. This democratisation of music discovery has become a significant force in promoting emerging artists and creating a more inclusive music industry.
Through a process called audio modeling, which uses convolutional neural networks (CNNs) to analyse audio features like beats, key, baseline and loudness, AI can help recommend less popular songs by identifying their potential appeal to listeners.
This dynamic also allows streaming services to stay ahead of changing tastes and introduce users to new artists and genres they might not have discovered on their own. For instance, Yango Play users can discover their new ‘favourite artists’ through ‘My Vibe’, an AI-powered music personalisation feature which can generate endless playlists tailored to the listener in real time.
Evolving With Users’ Tastes
As users interact more with the platform, machine learning (ML) algorithms adapt to their evolving preferences, ensuring relevant and engaging recommendations. Collaborative filtering, a key ML technique, analyses listening habits and user-curated playlists to identify patterns and similarities in music preferences, creating a community-driven experience.
By examining playlist tracks and measuring plays and clicks, it matches song profiles with user tastes. This method, used across various industries, becomes more accurate with increased user engagement, fostering a symbiotic relationship between the listener and the AI. In fact, a study found AI can predict with 97% accuracy if a song will be a hit.
Tailored To Users’ Moods
AI in music streaming transcends traditional genre and artist recommendations by exploring the emotional and contextual aspects of music consumption. Advanced algorithms consider factors like mood, time of day, skipped songs and even the weather to curate playlists that match the listener’s current state of mind.
For instance, if a user is listening to a specific song or album on Yango Play, they can tap into My Vibe to receive recommendations for similar tracks and albums on the spot in one click. Whether it’s upbeat tunes for a morning boost or relaxing melodies for an evening unwind, AI ensures the music fits the moment. Additionally, AI customises the platform’s interface based on these factors, enhancing the overall user experience and engagement by providing intuitive navigation, tailored playlists, favourite genres, and preferred artists all at the user’s fingertips.
AI Assistants
AI-powered assistants can significantly enhance music discovery and user interaction by suggesting songs and playing music that suits your mood. Their intuitive design allows you to focus on your day while enjoying a personalised music experience.
Interestingly, 41% of UAE respondents believe that an AI assistant should play music that fits their mood. For instance, Yasmina, Yango’s human-like AI assistant, personalises each user’s music experience, allowing them to simply request, “Yasmina, play relaxing music,” so they can focus on other priorities.
Future Of AI In Music
The future of AI and ML technologies in music streaming promises exciting new features, improved personalisation techniques, and innovative content delivery methods. Picture a scenario where AI can anticipate a listener’s mood from their daily activities and craft a playlist that perfectly matches their emotional state. Or consider AI algorithms capable of analysing musical preferences to create original songs unique to each listener. These possibilities are not fantasies but potential realities in the upcoming era of AI-driven music streaming.
