With AI music tagging being so widely used, artists should understand how their music is being tagged, so they can focus their energy more effectively on their music as well as marketing and branding efforts.
Aside from her celebrity clout and her album-first release strategy, is there anything in the music that could hint at why Midnights was so successful?
We looked at three shows on BBC Radio 6 Music to see what insights we could draw from their tracklists, and ways that AI integration into software could help with audience retention.
What are the sonic qualities of tracks that land with audiences inside and outside London? We look at data from Shazam charts with our AI to find out.
There’s a new wave of 90s-inspired electronic music taking over the UK. We use the AI to highlight emerging British talents that best represent this sound.
Here we look at three sync music scenarios and see how automation can help you build contextual playlists to help music supervisors find tracks faster.
AI tagging frees you up to be more creative. Here are 3 electronic playlists you can curate from your catalogue now with help from AI.
AI helps us determine that specific musical moods are more common in high-streaming deep catalogue tracks. Here’s how that can aid music catalogue investment decisions.
Finding the right track for a video, playlist or social content has never been easier, thanks to nuanced, granular mood tags from Musiio.
New Moods 3.0 release applies metadata tags with 95%+ accuracy and has huge potential for playlisting and talent discovery applications.