In the next generation of software, machine learning won’t just be an add-on that improves performance a few percentage points; it will really replace traditional approaches.
To give just one example: a decade ago, to launch a digital music service, you probably would have enlisted a handful of elite tastemakers to pick the hottest new music. Today, you’re much better off building a smart system that can learn from the real world – what actual listeners are most likely to like next – and help you predict who and where the next Adele might be.
As a bonus, it’s a much less elitist taste-making process – much more democratic – allowing everyone to discover the next big star through our own collective tastes and not through the individual preferences of a select few.
Source: Eric Schmidt on Smarter Music… Intelligent machines: Making AI work in the real world – BBC News
GREG SWAN 