Sally Johnstone, Senior Manager at Altus Group, is passionate about the intersection of data science and strategy. She leads the Altus team delivering machine learning and AI insights for clients representing all sectors of commercial real estate. Prior to joining Altus Group, Sally worked with James Chung at Reach Advisors, leveraging data science and predictive analytics to develop new strategic direction for economic development organizations and real estate and resort development clients. Sally's work on the impact of women on markets, shifts caused by consumer-driven wellness, and challenges inherent in the move to data-driven strategy has been featured in articles in The Atlantic, Ski Area Management, the LA Times, the NY Times, and other national press. She holds an MBA from the Isenberg School of Management at the University of Massachusetts and is currently pursuing an MS in Data Science from Northeastern University.
Tue Apr 09 2:30 PM — 3:30 PM (GMT-05:00) Eastern Time New York Hilton Midtown - Level 2, Sutton South
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.