We justify positive Return on Investment (ROI) for new IT initiatives to make a business case, but what are we doing about discovering and measuring negative...
Author - Vasant Dhar
Vasant Dhar is Paduano Fellow, Professor, Head of the Information Systems Group, and Director for the Center for Digital Economy Research at the Stern School of Business at NYU. He has been on the NYU-Stern faculty since 1983.
His longstanding research has been on building robust automated decision making systems from large databases based on principles and methods from Artificial Intelligence and related disciplines. The emphasis is on predictive modeling, across areas that span financial markets and other domains including economic networks, news, sponsored search markets, and blogs and other user generated content.
Dhars more recent research has been on issues related to the corporate governance of data and information technologies that balances their simultaneous benefits and risks, and on the transformational aspects of these technologies in business and society. This research also has direct pedagogical implications for how information technologies are taught and discussed from a business perspective.
He has written over 70 research articles, funded by grants from industry and the National Science Foundation. He pioneered the use of machine learning for predictive modeling on Wall Street across proprietary systematic trading, risk management, and customer and salesforce management. Dhar teaches courses at Stern on Trading Strategies, and IT and Corporate Strategy. He is a frequent speaker in academic as well as industrial forums.
