How AI is Changing the Music Industry
Artificial intelligence has brought significant changes across many industries, and the music business has not been left behind. AI has changed the music industry in a great way since numerous benefits come from using it in the music business.
Businesses can use artificial intelligence to recommend their customers’ songs or come up with the music itself. Here are more ways in which AI has impacted the music industry.
In this article, we show how machine learning can be used in the music industry to uncover hidden patterns contained in streaming data like latent fan types and artist similarity.
For the entire music industry, the biggest problem everyone has is how do you efficiently and effectively market in a world where over 60 million tracks are available at all times to consumers, and the principal relationship with the consumer is controlled by other companies, namely, the DSP’s.
Generating Music
With Artificial Intelligence, you can access a lot of remixes and music tools to help them generate their beats and compose their music. Currently, Artificial Intelligence-generated music has become extremely popular. You can now find numerous AI-generated albums that are getting released by top artists.
Some musicians use AI to write their vocal melodies and lyrics. They also use it as their source of inspiration. AI has key changes and switches which act as modified instruments to help generate music.
These AI tools can help both amateurs and professional musicians to generate their music. Some of these tools include:
Magenta: is a Google project that is based on Tensorflow. Magenta allows a person to generate a new model by training an already existing music model. Magenta Studio is an Ableton Live plugin, a renowned DAW that musicians use.
PhonicMind: It is among the best vocal removal tools which use Artificial Intelligence techniques to get the best separation quality. Once the user processes the music, they get four tracks, including bass, drums, and vocals. This tool can help in producing high-quality karaoke tracks.
LANDR: It is an audio mastering tool that uses Artificial Intelligence to allow users to master their tracks. They can also use it to create output filters by matching album-grade music with production elements.
Increased Personalization
We’re familiar with how our data is used to personalize nearly everything, be it from advertisements to user experience. While we may not know the technicalities behind how these algorithms determine what is a ‘’good fit’’ for us or what isn’t, we do know that the metrics that are being used are constantly compared to others to see what similar patterns/hobbies users have in common. The same idea is implemented into artists and their music.
AI has also brought personalization to the music industry. People can now know the recommended albums, songs, playlists, and artists depending on the genre of music they prefer listening to.
The recommendations are sent to fans via artificial intelligence algorithms. An app will collect data on people’s usage, and it is curated and fed to the AI systems that constantly learn what people listen to. The app then sends you new music that you like as per what you have been listening to, which is an incredible business strategy.
When using Machine Learning in music, we can replicate how we dissect and study music, be it from a lyrical or sonic perspective, at scale. This means that the idea of similarity can go beyond how we consider two artists with the same genre to be similar. The measures of similarity will most likely transcend genre and time period as everything about one artist serves as context for another – similar to how my context determines not only the ads I see but the ones you do as well.
A.I and ML have helped streaming services with music recommendations and targeted advertisements.
Marketing Music through AI Data
Artificial Intelligence has opened up a lot of potential for music marketers. Depending on their free music marketing strategy, they can:
Use your data to learn your audience's engagement with the content. You can use these insights to learn about free music downloads, collections, follower behaviour, and play-per-payer. By tracking patterns, you can target audiences using the right content, which translates to more revenue.
With machine learning and AI, your fans can get recommendations for your music on YouTube and other platforms. It gives you a chance to grow your viewer base and introduce new content to your audiences.
AI can also help with data filtering to help convert non-paying listeners to paying ones. Using insights from the filters can help you design outreach strategies.
How the WMR Team Adapts
At WMR Music Group, we use advanced AI and machine learning to determine your biggest fans and also target future fans with the same interests and tastes. WMR Music Group eliminates guesswork from ad buying and concentrates on targeted promotions.
Instead of leaving the work to artists to determine the right hashtags, niches, and strategies, we handle all of that so that they can focus on music. We use proprietary AI advertising technology that helps our YouTube marketing team determine high-value audiences based on their listening behaviour.
We are trying to solve a very real business problem, so I can sit with an independent label head, artist manager and say, ‘’By working with our platform, and insights and team, you are able to make much better decisions, spend your money more wisely, and respond to marketing opportunities more quickly’’
This technology helps to grow our artists’ and labels’ audience by examining exceptionally large datasets at scale and recommending actionable marketing initiatives on the spot.
How WMR Team uses it and what are our plans for the future.
Our team at WMR Music Group utilizes advanced artificial intelligence and machine learning to identify your biggest fans and target future fans with similar tastes and interests. WMR Music Group takes the guesswork out of ad buying with targeted promotion.
WMR Music Group uses our proprietary artificial intelligence (AI) advertising technology that enables our YouTube Marketing Team to identify high-value audiences based on listening behaviour.
If two artists are in the same group, they’re somehow similar, and if they’re similar, then one artist’s streaming performance could be used to build the other artist's fanbase. Based on this central idea, we’ve developed an approach for making recommendations on where best to market artists. Instead of targeting regions where an artist’s passive and casual listeners reside, this approach targets areas where similar artists outperform them in terms of overall streams. Because similar artists may have audiences with similar tastes, a country where one artist became really popular may be a fruitful place to market a similar-sounding artist.
A good example of our latest campaign
WMR Music Group drove 238% higher engagement with YouTube ads when piloting a new solution that dynamically matches ad content to what the user is listening to in real-time, according to the latest campaign for Spiro who has reached over 1,000,000 video views in less than 3 weeks by using our Advanced YouTube Advertising Campaign.
We used machine learning to automatically infer listener profiles across a large section of our data, allowing different artists to be easily compared.
By using dimensionality reduction techniques paired with Gaussian mixture model clustering, we developed a method that cuts through the noise to compare artists much faster. With this method, we’ve generated actionable insights on where to market Spiro’s latest release based on where they’re underperforming compared to artists who have a lot of common listeners.
The Bottom Line
While some may consider AI complex, its complexities continue to transform the music industry. Artists can use Artificial Intelligence to try new styles or improve the existing ones.
Also, they can master their content and publish it without breaking the bank on expensive equipment, studios, and expensive producers. Artificial Intelligence has given them creative freedom to produce music and market it at their own pace.
The bottom line is that AI is taking the music industry to new heights with all the possibilities.
Ready to start your campaign?
We have a team of skilled and experienced individuals on hand to promote our clients’ music to the heights they deserve, which is exactly what we’ll do for you.
With thousands of global campaigns built for record labels, PR agencies, and independent artists, we’ve learned the nuances of developing complex campaigns.
Why not get in touch? We’re waiting to talk about how we can help you too!
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