Google Tries to Predict the Biggest New Artists of 2016 Using Big Data

It’s that time of year again where we’re inundated with year-end best-of lists as well as predictions of which new artists will be big in the next 12 months.

We’ve already heard from the BBC with their short list for their Sound Of 2016 poll, something that’s entirely driven by humans. In the other corner, we have Google which has used the power of analytics (Google Play Music streams, YouTube Views, social media analysis and so on) to compile their list of artists for which we must watch next year. Let’s compare the two.

First, the BBC:

  1. Alessia Cara
  2. Billie Marten
  3. Blossoms
  4. Dua Lipa
  5. Frances
  6. Izzy Bizu
  7. Jack Garratt
  8. J Hus
  9. Loyle Carner
  10. Mabel
  11. Mura Masa
  12. NAO
  13. Rat Boy
  14. Section Boyz
  15. WSTRN

Now Google

  1. Frances
  2. Jack Garratt
  3. Clean Cut Kid
  4. Aurora
  5. Kali Uchis
  6. Anne-Marie
  7. Nao
  8. Tink
  9. Samm Henshaw
  10. Vant

Bookmark this. By December 2, 2016, we’ll know which was better: man or machine.

(Via MBW)

Alan Cross

is an internationally known broadcaster, interviewer, writer, consultant, blogger and speaker. In his 40+ years in the music business, Alan has interviewed the biggest names in rock, from David Bowie and U2 to Pearl Jam and the Foo Fighters. He’s also known as a musicologist and documentarian through programs like The Ongoing History of New Music.

One thought on “Google Tries to Predict the Biggest New Artists of 2016 Using Big Data

Leave a Reply

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.