How AI Helps Spotify Triumphs in the Music World?

Music relieves and heals, so it’s imperative for a mobile user to use music streaming platforms. In fact, nowadays, many mobile brands have inbuilt music streaming apps. These music streaming apps uses AI for attracting their subscribers. Spotify, the most popular music streaming service, gathers a heap of inferred customer data consisting of song preferences, keyword preferences, playlist data, most used devices, geographic location of listeners, and more.

Furthermore, the data scientists use the accumulated data to train algorithms deducing relevant information from online conversations about music and artists and content on the platform. They also enhance personalization by using customer data. Spotify has made data a core part of its decision-making. As you read further, you’ll get to know the uses of AI and data in music streaming platforms.

Data: “Do Re Mi Fa So La Ti” for Music Streaming

Spotify’s data analyst team enables a greater understanding of subscriber’s individual behaviors and the types of music they enjoy. Hence, the gathered data is then used in the recommendation engine which uses machine learning techniques to further refine the A/B test results.

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Spotify Algorithm Generating User Specific Playlist

Therefore, Spotify has a big advantage over competitors like Google, Apple, and Pandora. Let’s dig the rabbit hole and understand how the algorithm works. Spotify searches for more than 2 billion playlists to realize music fan’s tastes and sensibilities. It considers all the playlists either professionally curated or made by your cousin with more followers. To be precise, if two of the songs match from a playlist. There is a likelihood that all the songs will ring a bell for you. Moreover, Spotify creates a profile for each subscriber and distributes individualized taste in music into clusters of artists and micro-genres.

AI in Spotify: Clusters
Image Courtesy — Spotify

Finally, the secret sauce made by the algorithm is the mix of 2 billion playlists and subscriber’s personal tastes. In more technical terms, it uses collaborative filtering and natural language processing (NLP).

Collaborative Filtering

Natural Language Processing

AI in Spotify: Flow Chart
Image Courtesy — Spotify

The mind-boggling thing is that Spotify even predicts users ’ shifting musical preferences. The algorithm is crunching out stuff that a user didn’t like earlier but now jams on it.

In the music world, AI in streaming music has become the engine room of revenue generation. According to the IFPI Global Music Report 2020, industry revenue grew by 7.4%, stretching a valuation of $21.6 billion. Furthermore, covid may put an upward curve for revenue generated by Spotify. AI in music streaming platforms will support the strong revenue figures to the end of the future.