Jo Ann is CEO of Barefoot Innovation Group, host of the podcast show Barefoot Innovation, and Cofounder of Hummingbird Regtech, a startup focused on AML. A noted advocate of “regulation innovation,” Jo Ann is Senior Fellow Emerita at the Harvard Kennedy School Center for Business & Government, and is writing a book on financial innovation and regulation. She has been Deputy Comptroller of the Currency in the U.S., partner at KPMG, Co-Chairman of Treliant Risk Advisors, and staff member at the U.S. Senate Banking Committee. She’s an angel investor, serves on the board of Oportun, and advises financial companies and governments worldwide. She serves on the fintech advisory committee for FINRA; has served on the CFPB’s Consumer Advisory Board; and chairs the board of the Center for Financial Services Innovation. Jo Ann has published nearly 200 articles and is a popular keynote speaker, addressing thousands of people annually throughout the world.
REGTECH REVOLUTION: A NEW ERA OF DIGITALLY-NATIVE REGULATION
Who says regulation has to be old, slow and wasteful? Regulation is digitizing too, getting better, faster and cheaper. Today’s new regtech tools never lived on paper – they’re built from scratch with powerful data and analytics. Machines can read and even execute rules. Reporting can move to real time. Low-cost AI can catch financial crime. Improvement can be continuous. This presentation reveals how innovators and visionary regulators are moving us to a digitally-native world.
CAN WE TRUST THE MACHINES?
USING DATA AND AI TO BUILD A NEW FINANCIAL INDUSTRY
Technology is transforming everything, bringing us drones and clones and genetic design and driverless cars and, yes, driverless finance. This explosion of change is fueled by the simultaneous arrival of massive volumes of data and powerful new ways to leverage it through artificial intelligence. But how will financial companies know what technologies are safe to use? How do you solve AI’s “black box” problem? How can you protect privacy? Is cloud computing really secure? What do regulators expect? This talk explains how to thrive on AI.