Head of Artificial Intelligence Research
JPMorgan Chase & Co.
Head of Data Science
Vice President, Securities Finance Research
Head of Machine Learning
Applied Research Scientist
MIT-IBM Watson AI Lab
Research Professor of Financial Machine Learning/ AI Asset Management
NYU/ Fidelity Investments
Analytics Capabilities Manager
Lead Data Scientist, Vice President, COO CSO
SVP, Head of Data Science
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
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
In my view, the main differences stem from differences in data. In finance, data are (very) noisy, and often non-stationary. “Signals” cannot be split from “noise” in any unique way, as a matter of principle. This is very different from, say, image processing, where the level of noise can be controlled, at least in principle.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 400+ industry innovators sharing best practices to improve regulations, security and risk in the financial sector.
Peggy Tsai, Vice President, Analytics & Data
Francis Z Lin, Bank of New York Mellon
Yvonne Li, FINRA
Andrew Clark, Capital One
Anton Prokopyev, The World Bank