AI Insights
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?
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.
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.
Can we measure the impact of club culture influences on the record? We ask: “Is Renaissance more Chicago house or Dangerously In Love”?
Barack Obama has dropped his annual playlist and it’s a corker. But what insights can we draw with AI and how can that help with personalisation?
Metallica’s 2022 success has more in common with Kenny Loggins than any other metal act.
On a sonic level, what makes a memorable performance? We analysed some must-watch Glasto performances with AI to find out.
We’ve selected some of our favourite performances from Glastonbury and run them through our tagging AI. What can we tell about each performance based on the data?
Harry’s House, the number-one album from Harry Styles, is full of throwback influences from Prince to noughties indie, but it might be more heavily influenced by Japanese prog musician Haruomi Hosono than anyone suspected.