 dynamically shifting the content to better match indivi- dual's preferences, emotional state, and situation. Since a large amount of users' data in the network can be considered for the big-data processing, ML tools can be exploited to analyze the contextual user information and to react accordingly. Of particular importance is the fact that deep learning models have been recently on the rise in ML applications, due to their human-like behavior in training and good performance in feature extraction. Previous generations of mobile networks enabled voice, data, video, and other impactful services. In comparison, 5G is going to change our society by opening up the telecommuni- cation ecosystem to vertical industries. 5G will help vertical industries to achieve the IoT vision of ubiquitously connected, seamlessly mobile, highly reliable, ultra-low-latency ser- vices for massive number of devices. Service-guaranteed network slicing is one of the essential features for 5G to achieve this vision. Prominent operators, vendors, and vertical Introduction and Background xciii industries have to come together in order to establish a common understanding of service- guaranteed network slicing in terms of the vision, requirements, end-to-end solution, key enabling technologies, and the impacts on vertical industries. The 3GPP standard releases are driven by users and operator demands, with smaller releases launched every few years to enhance features and performance of the status quo. Therefore, one might reasonably expect a beyond 5G release to arrive at some point in the future. There is some debate about what systems beyond 5G would entail and whether indeed it relevant to consider the term, as industry/user requirements will change greatly in the next 10-20 years. A high-level answer is that systems beyond 5G will explore and include rele- vant technologies that will be left out from 5G, due to being late, experimental in status or simply outside the defined scope for 5G. Future applications and technologies will be inte-