At the time of the rise of artificial intelligence, Africa - or rather "Africas" - has all the assets to succeed. South Africa, Nigeria, the Democratic Republic of Congo can recover. Côte d'Ivoire, Ghana, Kenya can confirm their ambitions of emerging countries. Algeria must refrain from taking two steps back after a step forward. For the whole continent, it takes audacity and patience, and the courage of openness. Africa has nothing to fear from globalization, it must not be locked in on itself.
The second type of tasks AI can manage is data analysis. Arficial intelligence laboratories insides the GAFAM companies work for most of their time on the analysis of titanesque quantities of data that they collect from billions of users. Those technologies are called Machine Learning or Deep Learning according the level of complexity of the analytics methods that are used.
Integrated into the economy, gradually disorganized at the initiative of disrupters or more planned by large companies, automatons, learning systems, analytical agents and assistants have the potential to significantly alter the productive system and finally generate the productivity gains that have been expected for the last thirty years, since the digital revolution started and that still have not shown.