- Image recognition

- Winning the games computers hadn't won already

- Incremental progress on translation. Plus translation that doesn't need as many domain experts

- Self-driving cars (with related automation applications)

Of image there, image recognition stands out as the big leap and the rest are relatively incremental. One of the things with the other applications is that they provide a recipe format that's more systematic than previous approaches. A lot of vision approaches pre-deep-learning were very hit-or-miss. Deep learning has a lot of black art involved in effective training and a lot of time investment but my impression it is more reliable than what came before.

Any other examples welcome

It's not legal yet, but it will be, because it will potentially save lives (and money).