Introduction To Artificial Intelligence
Sponsored by Chicago Booth Alumni Club of NYC
A panel of experts will discuss trends in artificial intelligence, machine learning, business, and the economy. Among the topics that will be discussed are the differences between statistics, machine learning, and artificial intelligence; autonomous vehicles; the impact of artificial intelligence on employment and the economy; progress towards creating machine-based general intelligence; and ethical concerns.
Balaji Iyengar (Speaker) '99
Balaji Iyengar, MBA '99, is Chief Analytics Officer & Founder of TNT Consulting Associates. He has also been a Director, Research Sciences, at McKinsey & Company and Principal at ZS Associates. In addition to earning an MBA from Booth, he completed graduate courses in Computer Sciences at Northwestern University, and earned a B. Tech in Electrical Engineering from the Indian Institute of Technology.
Matt Sekerke (Speaker) '12
Matt Sekerke, MBA '12, is President of ndogenous and a Fellow at John Hopkins University and is a candidate for an MS in Applied Mathematics at Columbia University. He has been a Director at PWC, Senior Director at Alvarez & Marsal, and Associate Director at Navigant Economics. He earned his MA and BA from John Hopkins. He is author of the 2015 book Bayesian Risk Management: A Guide to Model Risk and Sequential Learning in Financial Markets.
Joyce Shen (Speaker) '10
Joyce Shen, BA '06, MBA '10, is the Investment Director at Tenfore Holdings. She was previously the Senior Global Director of Emerging Technologies and Venture Investments in the CTO office at Thomson Reuters. Before Thomson Reuters, she was one of the founding executives and CFO of IBM Cloud Platform, managing a $1B P&L. She also spent several years in IBM Corporate Development leading acquisitions and divestitures exceeding $6B in total transaction value. She is also a member of the faculty in data sciences at UC Berkeley.
Dr. Arun Verma (Speaker)
Dr. Arun Verma is Head of the Quant Research Solutions Team at Bloomberg LP. Dr. Verma joined the Bloomberg Quantitative Research Group in 2003. Prior to that, he earned his Ph.D. from Cornell University in the areas of computer science and applied mathematics. At Bloomberg, Arun's work initially focused on Stochastic Volatility Models for pricing and hedging Derivatives and Exotic financial instruments. More recently, he has enjoyed working at the intersection of diverse areas such as data science, cross-asset quantitative finance models and machine learning and AI methods to help reveal embedded signals in traditional and alternative data.
Lawrence Harris (Moderator) '78
Lawrence Harris, MBA '78, Moderator, is a Private Investor. He was a technology equity analyst for over two decades. He was twice named by The Wall Street Journal as one of the Best on the Street analysts for stock selection in Communications Technology. The Wall Street Journal, The New York Times, The Financial Times, Barron's, Fortune, and BusinessWeek have cited his investment views. He has earned the Advanced Certificate for Executives (ACE) and completed the Artificial Intelligence: Implications for Business Strategy course at the MIT Sloan School of Management. He has also completed the Oxford Chicago Valuation Programme and the Oxford Programme on Negotiation.
Registration closes on: 9/11/2018