IMO 2015 is when the big shift happened, which is after 2013.

I argued with my machine learning friend about neural networks. She claimed that neural networks were "for losers" and not getting anywhere because they required too much data. This was on the heels of the fact that they passed a critical test which, in the past, was postulated as a "test for AI consciousness": Captioning an image. Basically, constant goal-post moving.

It was also on the heels of AlphaGo's victory, which was deemed by most CS experts at the time as impossible or improbable in the near future.

tl;dr 2015 was the year AI proved all the naysayers wrong IMO. And it came after 2013.