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Prescriptive analytics is the ultimate analytical step which goes beyond predictions into the realm of goal-oriented recommendations. As such, we could consider prescriptive analytics as a particular sort of cognitive computing. In 2016, how far are we from cognitive computing actually? In this talk, Natalino will describe the latest advances in machine learning algorithms, big data tools and cloud engineering practices. These are the ingredients which are blended together to brew modern AI, prescriptive analytics and cognitive processing solutions. As data, and algorithms are made available into large cloud computing clusters, higher-level, cognitive-like services will solve real-world, complex and often ambiguous cases. Finally, Natalino will touch on the topic of meta-data science and how automated data science could (re)define the role of the data scientist in the coming years.