Title: Applications of Knowledge Graphs at JP Morgan Chase

Speaker: Apoorv Saxena

Abstract

As JPMorgan Chase has a relationship with ~50% of U.S households and >80% of Fortune 500 companies, its global data footprint presents significant opportunities. Although Knowledge Graphs were traditionally limited to Fraud and Risk management, recent usage is growing across several areas including AI-driven customer care, generating alpha from alternative data, etc. The Company Knowledge Graph developed by combining internal client data with third party licensed data can be instrumental in answering a wide variety of questions ranging from identifying weak links in the supply chain to investments in startups. Commonly faced challenges with Knowledge Graphs arise from extracting insights from structured and unstructured data, dynamic nature of financial information and required access control mechanisms. The industry and academia see significant potential in future Knowledge Graph applications around Natural Language Understanding, Question & Answer systems, Recommender systems, and Reasoning.

Bio

Apoorv Saxena is the Global Head of Firmwide Artificial Intelligence and Machine Learning Platform and Services at JPMorgan Chase & Co.. Apoorv came to the JPMorgan Chase & Co. from Google where he was the product & business lead for Google Cloud AI Solutions managing six product lines. He was responsible for product vision, growth and revenue, user experience & resource planning. Prior to Google Apoorv was the Co-founder of AI Frontiers (the leading Applied AI conference in the Bay area), and Okati Inc. (a mobile payment startup providing instant credit). He also worked at McKinsey & Co and Alcatel-Lucent where he delivered significant impact in strategy, operations, design and build, and sales and marketing for clients in the financial & tech industry. He has 19+ years of software engineering, strategy & management consulting, product management leadership, and entrepreneurial experience in the technology industry. Apoorv has received numerous awards and has been published in the Harvard Business Review, Knowledge @ Wharton and interviewed at multiple top publishers on AI technology. He has also been a Keynote speaker at many industry AI conferences. Apoorv has a Bachelor of Technology in Electrical Engineering from Indian Institute of Technology, Mumbai; a Master of Science in Electrical and Computer Engineering from Purdue University of Indiana and a Master of Business Administration, Major in Finance & Entrepreneurial Management from the Wharton School in Pennsylvania. He resides in California with his family.