Pierre Feillet

Pierre is software architect at IBM covering symbolic AI and cloud for decision automation. Working at the IBM Decision Lab and ILOG before, he has led the business rule runtime over the last 15 years to plug rule-based decision engines in mission critical client applications on premises and on clouds. Pierre has more recently initiated the Kubernetes & Docker move for IBM Operational Decision Manager. He currently works on the convergence of business rules with machine learning in Big Data. The intent is to combine predictive and prescriptive AI models to improve decision automation efficiency while publishing explanations of these decisions. Pierre is member of Association Francaise d'IA for IBM.