Improvements and convergences in machine learning and neurosciences combined with the availability of massive datasets and the ubiquity of high-performance scalable computing are propelling us into a new age of Artifi cial Intelligence (AI). In this second part, we perform a deep dive into some of the most interesting cases of the deployment of artifi cial intelligence systems in cities. AI can be essentially analyzed as a "prediction technology," the diff usion of which can drastically bring down the cost of processing historical data and therefore of making prediction for a wide array of crucial tasks such as risk profi ling, inventory management, and demand forecasting. Is this time different?" is the question that expert worryingly argue over when they analyze the socio-economic impact of the AI revolution as compared with the previous industrial revolutions of the 19th and 20th centuries.