The deployment of 4G / LTE mobile networks has solved the big challenge of creating high-capacity mobile real broadband internet. This was made possible mainly by the strong physical level and the flexible network architecture. In addition, there is a strong demand for high reliability and almost zero latency of mobile networks with other new services. Such as vehicle communication or vehicle internet. 5G has overcome some of these challenges. In addition, the adoption of software defense networks and the virtualization of network functions have added greater flexibility to operators, allowing operators to support high-demand services from a variety of vertical markets. It is also necessary to predict its evolution in order to create a network that can be actively and effectively (self-measuring). This chapter explains the role of artificial intelligence and machine learning in creating cost-effective and relevant next-generation mobile networks in 5G and later mobile networks. Some of the practical applications of AI / ML in the network life cycle are discussed.