Vasant Dhar is a professor at the Stern School of Business and the Center for Data Science at New York University and the Editor-in-Chief of the journal Big Data. A pioneer in the field of data science, Dr. Dhar’s research focuses on a simple, yet critical, question: when do computers make better decisions than humans?
Through the use of artificial intelligence and advanced machine learning, he has explored this question and its real-world applications in settings as diverse as financial trading floors, hospital emergency rooms, preschool classrooms, and sports locker rooms. The first person to use machine learning for predictive modeling on Wall Street, Dr. Dhar’s research focuses on building scalable decision-making systems from large sources of data.
Vasant is the author of three books, including Seven Methods for Transforming Corporate data Into Business Intelligence and Intelligent Decision Support Methods: The Science of Knowledge Work and his findings have been published in the Harvard Business Review, Financial Times, Wired Magazine, and Big Data, among others.
Dr. Dhar received his Bachelors of Technology from the Indian Institute of Technology in Delhi, and his Masters of Philosophy and Doctor of Philosophy from the University of Pittsburgh.
Seven Methods for Transforming Corporate Data Into Business Intelligence
Intelligent Decision Support Methods
When Should We Trust Machines? | Vasant Dhar ” TEDx Hamilton College