The last five years has seen an unprecedented progress in Artificial Intelligence research. Neural Networks, which were perceived as a failed experiment of Machine Learning research, not only are successfully solving a wide range of everyday problems but in many cases significantly exceed human performance. The goal of this talk is to help to understand which problems can be solved with Deep Neural Networks today and equip the audience with tools to assess the feasibility of their own projects.