MIT-IBM Watson AI Lab
Principal Machine Learning Auditor
Head of Process Automation and Robotics
Director, Portfolio Analytics
Bank of America Merrill Lynch
The World Bank
Vice President Security and Decision Products
Vice President Analytics & Data
Morgan Stanley Wealth Management
Head of Artificial Intelligence Research
JPMorgan Chase & Co.
Vice President, ML, Asset & Liability Management
Bank of New York Mellon
Director, Statistical Machine Learning
Director, Data Scientist
The MIT-IBM Watson AI Lab will carry out fundamental AI research and seek to propel scientific breakthroughs that unlock the potential of AI. The collaboration aims to advance AI hardware, software, and algorithms related to deep learning and other areas; increase AI’s impact on industries and explore the economic and ethical implications of AI on society.Read More
At Capital One, Andrew is establishing approaches for auditing and interpreting machine learning algorithms along with building machine learning tools to optimize the audit process. With ML becoming ever more ingrained within organizations, the need for an objective verification of their assumptions is needed. Internal and external auditors are in the perfect position to provide this assurance.Read More
JPMorgan Chase, the largest bank in the United States, and among the leading financial institutions employing technology and AI algorithms in different fields. The firm recently hired Manuela Veloso, the former head of Carnegie Melon University’s Machine Learning Department, as its first head of artificial intelligence research.Read More
Discover advances in machine learning tools and techniques from the world's leading innovators across industry, academia and the financial sector. Speakers will share insights into recent breakthroughs in technical advancements and fintech applications including financial forecasting & compliance.
Learn about machine learning applications in the financial sector from algorithms to forecast financial data, to tools used for data mining & pattern recognition in financial time series, to scaling predictive models, to stock market prediction, to using blockchain technology.
A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the machine learning revolution. Learn from & connect with 200+ industry innovators sharing best practices to improve regulations, security and risk in the financial sector.