Skip to main content
ULI SPRING MEETING ULI SPRING MEETING
Colorado Convention Center, Denver, CO, United States May 12-14, 2025
Panelist

Mr. Josh Panknin

Director, Real Estate AI Research & Innovation Columbia Engineering - IEOR

Josh is currently a member of the Center for Artificial Intelligence in Business Analytics and Financial Technology (https://fabulys.engineering.columbia.edu/) where he serves as the Director of Real Estate Artificial Intelligence Research & Innovation in the School of Engineering and Applied Science (“SEAS”) at Columbia University. He joined Columbia in 2016 and is the former Director of Real Estate Technology Initiatives at SEAS.  His focus is on using practical applications of artificial intelligence and machine learning to address inefficiencies and create new capabilities within real estate. In addition, he currently teaches the "Artificial Intelligence in Real Estate" executive education course at Columbia University.

Prior to academia, Josh spent 12 years in various roles in real estate.  He was Head of Credit Modeling and Analytics at Deutsche Bank’s secondary CMBS trading desk where he helped develop and implement automated models for CMBS loan and bond valuation.  He also worked at the Ackman-Ziff Real Estate Group and in various other roles in research, acquisitions, and redevelopment.  Josh has a master’s degree in finance from San Diego State University, a master’s degree in real estate finance from New York University’s Schack Institute of Real Estate, and is currently pursuing degrees in applied mathematics and data science at Columbia University.

Speaking at

Tue Apr 09 2:30 PM — 3:30 PM (GMT-05:00) Eastern Time New York Hilton Midtown - Level 2, Sutton South

Using Data Science and AI to Answer the Need for Speed in Uncertain Times

Commercial real estate used to be a fairly staid sector, but exogenous shocks to the system such as global pandemics, macroeconomic shifts, and climate change have created a need for faster, more nimble decision-making to increase returns and mitigate risks. Leveraging the vast quantities of data available through the use of machine learning and artificial intelligence can create tools to explain the current state and predict likeliest future states, but acquiring data and the ability to use it effectively costs money and time. After a brief introduction to the topic, the panelists will talk about how their companies have deployed data science and artificial intelligence to create a competitive advantage.