"The Impact of AI on Jobs and Organizations"
Seminar led by Professor Tania Babina and Data Scientist, Mike Purewal (BAML)
February 19, 2020
*Not a recorded session.
Come to this seminar ready to re-shape your thinking about how AI is driving the workforce.
In this session, Professor Tania Babina will facilitate a discussion of how AI is impacting jobs and labor trends. Data Scientist Mike Purewal from Bank of America Merrill Lynch will speak on creating successful data science integration in companies, and the changing organizational structures driven by AI. No need for pre-reading, just arrive with an open mind ready to shift perspectives on being a business manager and leader in the new world!
Link to Professor Babina's paper
We look forward to seeing you! Food will be provided.
For questions, please contact Melina Denebeim '12, Director of the Program for Financial Studies: [email protected]
Professor Tania Babina joined the Columbia Business School in 2016. She received a Ph.D. from the Kenan-Flagler Business School at the University of North Carolina. Her research is at the juncture of corporate finance, labor economics, and entrepreneurship. More broadly, she studies inter-relationship between human capital and firm investment, financing, and organizational choices. Her current research explores drivers of entrepreneurship and factors predicting entrepreneurial success. Long-term, she seeks to understand how human capital affects the nature of a firm and firm boundaries. Professor Babina teaches the Entrepreneurial Finance course.
Mike Purewal is a Data Scientist in the Data & Innovation group at Bank of America with a decade of experience in the financial industry. His areas of expertise include mathematic modeling, programming and data analytics. He is also an Adjunct Professor at NYU teaching Machine Learning in Finance. Mike received his PhD in Applied Physics from Columbia University where he pioneered cutting edge research on electron transport in low dimensional materials and authored several high impact papers.
