BY DAVE ROBERTS
To illustrate the importance and potential of AI-based A&R, Musiio co-founder and CEO Hazel Savage refers to the origin story of one of the biggest breakthrough UK artists in recent years, Lewis Capaldi.
Her point isn’t that the self-effacing Scottish superstar was discovered via data, because he wasn’t. Her point is, What if? She refers to him as the one who got through, as opposed to the thousands who got away.
She says: “With millions of creators posting new music to UGC sites around the world, the job of listening to it all has become impossible.
“Lewis Capaldi was discovered by manager Ryan Walter, who famously spent six months listening to every new artist on SoundCloud he could find. He would listen for seven hours a day, with up to 500 tabs open at a time, listening to 10 seconds of each track.
“Capaldi’s rise to fame is a fantastic tale, one which dreams are made of, but the truth is 99.99% of the work that goes into finding artists is never seen or recognized. It can be a brutal process and if Capaldi’s story teaches us anything, it’s that there is talent out there that could quite easily go unnoticed and not listened to.”
To try and help fix that undoubted problem, Musiio has created a new piece of technology that it calls a Hit Potential Algorithm, which it claims will not only be able to classify and categorize new music, but also accurately measure hit potential, and isolate those tracks most likely to properly blow-up – no matter where or who they are from.
Here, Savage tells MBW about the new technology’s secret sauce and how it could radically streamline the A&R process…
Continue reading… “ARTIFICIAL INTELLIGENCE A&R TOOLS KEEP FINDING NEW HIT ARTISTS. THIS ONE ACTUALLY ‘LISTENS’ TO MUSIC.”
