Resolving Corporate Entities in the International Supply Chain Graph

Abstract: Millions of companies ship trillions of dollars worth of goods internationally each year. In this talk we'll discuss techniques and challenges faced using machine learning to identify the companies involved in that trade and build a world spanning graph of their relationships from billions of shipment records in multiple languages. We'll also look at some of the insights derived from that graph and what they can tell us about international trade and the global supply chain.

Bio: Prior to it's recent acquisition by S&P Global Market Intelligence, Tim was the lead engineer at Panjiva, Inc. and is responsible for developing many of the core features of Panjiva's ground breaking trade intelligence product. Previous to that Tim was a co-founder of Determina, Inc., a security software company in the host intrusion prevention space now part of VmWare. Tim has published a number of papers on dynamic code optimization and binary translation. He holds a BS and MEng in Computer Science from MIT.

Open Data Science Conference