Artificial intelligence, also known as AI, is an emerging and game-changing technology. Right now, we encounter it when we search sites, send an email, and even listen to music online. AI has been a major contributor to the success of music streaming sites. For example, Spotify has a million songs in its database, with over 60,000 new songs uploaded every day. Artificial intelligence in the music industry has helped harness massive content to be viable for businesses and customers. But how exactly has AI changed the music streaming industry? Let’s find out.
How Did AI Change the Music Streaming Industry?
Personalized Playlists Continue Being Relevant
Music streaming sites can suggest a playlist based on the music you are currently listening to. This technology gives new artists, as well as new song releases, a chance to be heard, even if there are a million songs in the database.
However, some streaming sites opt to combine AI and human knowledge to come up with an optimal list. This is because music is related to language, so an AI might have difficulties fully understanding it. With a VPN, you can get around these geographic blocks and listen to your favorite songs in any country.
Back then, newly launched artists and songs have to fight their way on the airwaves to promote themselves. Now, the integration of artificial intelligence into the music industry allowed them to become more accessible and known to people who like the particular genre they’re in.
AI can also create a smooth listening experience for the users. With AI, you can avoid playing the same song in shuffle mode for that added convenience. It can also help you avoid problems encountered during music streaming, such as dead-air and song volume adjustments.
AI can help in the smooth transition from one song to another without a gap in between. Different song volumes, on the other hand, are a common problem, especially for songs that were recorded in the 70s. This is because recording techniques of that era were rendered differently that they need adjustments.
Getting to Know the Customer
AI allowed artists and music management companies to learn more about their listeners. This can include information like the kind of music they are playing, which album those songs belong to, and their singing style. With this knowledge, artists and companies can create songs or projects based on that acquired data.
This is a giant leap for the traditional music industry who has long since depended on music charts to see what song works and not. They can measure the effectivity rate per song, which is really useful data for decision-makers. Besides, new and old songs can now be compared to see how well they are doing.
On the business side, AI can help advertisers sharpen their target market and advertisements. Categorized playlists can help define the listeners and give companies an idea of their interests or present activities.
For example, playlists designed for workouts can contain ads for fitness, gyms, and other health-based products. Since ad personalization is important in marketing, the integration of AI can help bridge that gap. This can be attractive to advertisers since they are targeting a specialized market. It’s also more cost-effective since there is a niche market already listening to that particular ad.
While AI is still in its infancy stage, AI has already changed the music streaming industry. There is a lot of potential for this technology which is currently used to improve users’ listening experience. However, music is a complex language that evolved with humans. Music appreciation is not something that a computer or software can understand. As such, AI’s effectiveness as of now can only be amplified when combined with human knowledge.
But who knows what the future may bring?