A Strategist's Guide to Artificial Intelligence

Then, as high-bandwidth networking, cloud computing, and high-powered graphics-enabled microprocessors emerged, researchers began building multilayered neural networks -- still extremely slow and limited in comparison with natural brains, but useful in practical ways. The type of machine learning called deep learning has become increasingly important. Tomorrow's AI aggregators will be able to detect "fake news" and route people to alternative perspectives. AI applications in daily use include all smartphone digital assistants, email programs that sort entries by importance, voice recognition systems, image recognition apps such as Facebook Picture Search, digital assistants such as Amazon Echo and Google Home, and much of the emerging Industrial Internet.