Despite recent advances in artificial intelligent technologies, the potential of applying data-driven methods to optimize the performance of networking systems remains poorly investigated and largely unexplored. In this project we propose a radical paradigm shift by making the data in the network to be the key entity. Our objective is to enhance networks with capabilities of large-scale data analytics, so as to enable novel network-management policies that anticipate the network behavior and make intelligent choices. We will achieve this by introducing artificial intelligence into the network and exploiting the learning and adaptation possibilities that it offers. The key research question we seek to answer is how artificial intelligence can help make the network and its services better, both for the users and network operators alike.