To gather insights on the state of artificial intelligence (AI) and all of its sub-segments — machine learning (ML), natural language processing (NLP), deep learning (DL), robotic process automation (RPA), regression, et al, we talked to 21 executives who are implementing AI in their own organization and helping others understand how AI can help their business. We began by asking, "What are some real-world problems you or your clients are solving with AI?" Here's what they told us: Automotive Little things that are surprising to some people is that ML is being used in really tiny situations to make things cleaner, smoother, smaller, and nicer. Accelerators on cars are no longer connected to a throttle. Your foot is pushing on data, not on a cable. The thing that turns what you push is partly physics-based engineering programs and partly little pieces of AI/ML. Your motion has the effect you expect. That is not simple. Control motions that feel intimately strongly connected are great applications of ML.


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machine learning,ai,artificial intelligence,deep learning,natural language processing,robotic process automation