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X-WR-CALNAME:Department of Economics at Columbia University
X-ORIGINAL-URL:https://econ.columbia.edu
X-WR-CALDESC:Events for Department of Economics at Columbia University
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DTSTART;TZID=America/New_York:20231128T110000
DTEND;TZID=America/New_York:20231128T123000
DTSTAMP:20260606T054244
CREATED:20231009T142604Z
LAST-MODIFIED:20231109T143442Z
UID:34295-1701169200-1701174600@econ.columbia.edu
SUMMARY:Generative AI: Transformation or Hype?
DESCRIPTION:Register here: https://events.columbia.edu/go/CFM_PER_ADI \nThe release of Chat-GPT on November 20\, 2022 led many\, including a number of Big Tech CEOs and Wall Street\, to herald the transformative potential of Generative AI for the global economy. But just as many argue that it is hype and contributing to a Big Tech Bubble. As Charlie Munger of Berkshire Hathaway has quipped\, “I think old-fashioned intelligence works pretty well.” \nTo address these issues\, this event will feature a lecture by Chaired Professor Dr. Markus Leippold of the Department of Banking and Finance at the University Zurich and Visiting Researcher at Google Research. He has been at the forefront of using Generative AI to investigate a number of important issues in financial markets\, such as stock market sentiment and climate change. He will bring both this academic research and practitioner expertise to bear on these pressing questions. \nThis event is part of a series of events on the economic and financial applications of alternative data sponsored by Capital Fund Management (CFM) and Program for Economic Research (PER) at Columbia University’s Department of Economics. There will also be a panel discussion with Dr. Laurent Laloux\, Chief Product Officer\, CFM\, and Maryam Farboodi\, John D. Gruber Development Professor at MIT Sloan School of Management. The panel will be moderated by Jose Scheinkman\, Charles and Lynn Zhang Professor of Economics at Columbia University. \n
URL:https://econ.columbia.edu/event/generative-ai-transformation-or-hype/
LOCATION:Zoom Conference\, NY\, United States
CATEGORIES:CFM-PER Alternative Data Initiative,PER,PER Conferences
ATTACH;FMTTYPE=image/jpeg:https://sites.asit.columbia.edu/econdept/wp-content/uploads/sites/18/2023/10/2023-10-09_10-24-39.jpg
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