Comment by therajiv

TLDR is that models will become more abstract (current pattern recognition will blend with formal reasoning and abstraction), modular (think transfer learning, but taken to its extreme - every trained model's learned representations should be applicable to other tasks), and automated (ML experts will spend less time in the repetitive training/optimization cycle, instead focusing more on how models apply to their specific domain).