"In the future, we need to do even more blending of AI research with solving real-world challenges.

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."