Accenture Research: AI May Move Economies Ahead 40 Years - in Half the Time

Smart systems can be combined to do a variety of tasks on different levels, with capabilities of comprehension (NLP and inference engines are an example), sensing (computer vision and audio processing have made unprecedented progress in the past year) and following through on actions (predictive analytics engines and auto-pilot software in autonomous vehicles are just the surface of the future). As emphasized by Daugherty and other researchers and executives in the field, a central component of "true" AI systems is the ability to learn and adapt over time, with repeatability of these systems at scale, processes that are being explored through fields like reinforcement and continual learning.