Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
Maurice Nsabimana

Maurice Nsabimana
Statistician, World Bank Development Data Group

Maurice Nsabimana is a statistician focusing on national accounts and macroeconomic indicators in the World Bank’s Development Data Group. Previously, Maurice worked in the private sector and civil society and at a think tank. His research interests lie at the intersection of computational economics, machine learning, and public policy and in the development of new, practical methods and information technologies that can be directly applied to strengthen local capacity. He holds an MA in international affairs from the School of International and Public Affairs at Columbia University and a BSc in computer science from Vesalius College in Brussels, Belgium.


2:35pm–3:15pm Wednesday, May 2, 2018
Implementing AI, Models and Methods
Location: Grand Ballroom West
Yulia Tell (Intel), Maurice Nsabimana (World Bank Development Data Group)
Yulia Tell and Maurice Nsabimana walk you through getting started with BigDL and explain how to write a deep learning application that leverages Spark to train image recognition models at scale. Along the way, Yulia and Maurice detail a collaborative project to design and train large-scale deep learning models using crowdsourced images from around the world. Read more.