Increasing Headcount: Companies that Invest in AI are Adding Jobs
Research from Columbia Business School Analyzes Trends in Workplace AI Investment Revealing New Shifts for the Everyday Worker
Research from Columbia Business School Analyzes Trends in Workplace AI Investment Revealing New Shifts for the Everyday Worker
The 2023 Klion Forum featured an expert panel from media, law, and industry addressing the ethics of generative AI.
This paper from Columbia Business School, “Meaning of Manual Labor Impedes Consumer Adoption of Autonomous Products,” explores marketing solutions to some consumers’ resistance towards autonomous products. The study was co-authored by Emanuel de Bellis of the University of St. Gallen, Gita Johar of Columbia Business School, and Nicola Poletti of Cada.
Work by CBS Professor Laura Veldkamp uncovers insights into the economic evolution driven by AI, from labor market dynamics to the valuation of data as a key asset.
AI is an innovation unlike any other in the history of humankind for its potential to remake society — for good or bad. In this episode, host Professor Ray Horton speaks with Professor Sandra Matz about how AI might affect the distribution of power and leadership in politics, business, and academia.
Dr. Fei-Fei Li is the Sequoia Professor of Computer Science at Stanford and the Denning Co-Director of Stanford’s Human Centered AI-Institute. Dr. Li has been called the godmother of artificial intelligence and has emerged as one of the country’s leading scientists — and humanists.
The tech visionary discussed lessons from building his tech company into a $1 trillion giant at an event organized by the School's Digital Future Initiative and the Silfen Leadership Series.
The paper “Detecting Routines: Applications to Ridesharing CRM” explores the importance of understanding consumer routines and the impact they have on customer behavior and profitability. The study was co-authored by Oded Netzer and Nachum Sicherman of Columbia Business School.
Chatbots and artificial intelligence tools like ChatGPT that can almost instantly produce increasingly sophisticated written content are already being used to perform a variety of tasks, from writing high school assignments to generating legal documents and even authoring legislation.
Professor Netzer's expertise centers on one of the major business challenges of the data-rich environment: developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms' decisions. He focuses primarily on building statistical and econometric models to measure consumer preferences and understand how customer choices change over time, and across contexts. Most notably, he has developed a framework for managing firms' customer bases through dynamic segmentation.
We’re still in the early stages of the generative-AI revolution, says Oded Netzer, vice dean of research and professor at Columbia Business School
Professor Netzer's expertise centers on one of the major business challenges of the data-rich environment: developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms' decisions. He focuses primarily on building statistical and econometric models to measure consumer preferences and understand how customer choices change over time, and across contexts. Most notably, he has developed a framework for managing firms' customer bases through dynamic segmentation.