Couple of perspectives in this McKinsey article
Gary Bradski, chief technology officer, Arraiy: AI will be used for big, high-impact applications. It is a big enabler for robotics, so autonomous vehicles is a big one. Speech recognition is really starting to work—it’s a very useful interface—that’s big. It’s going now to natural language, you see that showing up with Amazon’s Alexa and Google’s products. I call that ambient AI, where you can just ask questions and things happen.
Medicine’s a big one. You’re diagnosing problems, and you can already see these things can often do better than a doctor, in certain circumstances. They don’t get distracted, and they can ferret out very subtle patterns.
Mohak Shah, lead expert, data science, Bosch Research and Technology Center, North America: Broadly, the advancements will come into what we like to call the Internet of Things. That would mean things like developing your service efficiencies, advancing your manufacturing capabilities, reducing scraps, and looking into your operation of the fleet. And that can happen all the way from small devices to very large devices, like aviation aircraft.
Also listen to 5 super smart ladies at various parts of Alphabet/Google talk past, present and future of AI and Machine Learning
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