Abstract: American Express has always been at the cutting-edge of analytics and decision science. Today, our cutting-edge Machine learning and Artificial Intelligence capabilities are critical to driving key decisions that better serve Card Members and produce industry-best credit and fraud risk management. Learn about American Express’ successes and challenges to applying machine learning to improve each and every process in the Company, and the techniques to help sustain high performance of its models.
Machine Learning Powers Better Decisioning
Bio: Alexander Statnikov is a Vice President of Machine Learning and Global Line Modeling in the Risk and Information Management organization at American Express. He plays an essential role in leading Machine Learning activities across the enterprise. He has
founded and is leading the Machine Learning Advisory Board, a governance body that oversights and prioritizes initiatives related to Machine Learning, AI and Advanced Data Analytics conducted globally at American Express. Alexander is also functionally
responsible for developing credit line assignment models across all markets and portfolios. Finally, he is leading Machine Learning Workgroup that conducts cutting edge research and strengthens knowledge and education in Machine Learning and Data Science. Prior to joining American Express, Alexander was an Associate Professor at New York University specializing in various areas of Machine Learning and Data Science. He is the author of 80+ articles, 5 books and monographs, and 13 patents (issued and pending).