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The 6 questions beyond Machine Learning to build successful Data Products (with some lessons learnt from the Yamanas)

Agent based simulation and social norms marked Daniel's scientific journey while his time at the IIIA-CSIC. At the time he combined diverse research areas such as  agent based simulation, game-theory, social networks analysis, experimental economics and human-computer interaction, in order to understand better how societies can improve their self-governance. After graduating, he moved into applied research investigating how empirical data could be used to improve all those methods.  

All this happened during the emergence of a new discipline that ended up being "the sexiest job of the 21st century". In this talk we'll review the key elements to make data-products for companies to improve their decision making, using real examples from companies. 

Dr. Daniel Villatoro is Chief Data Scientist @ Openbank (Grupo Santander)  and Co-founder of Databeers (ONG for the cultural dissemination of Data projects, present in 27 locations in 16 countries around the world)