Vasant Dhar

In the News

I am a Paduano Fellow, Professor, Head of the Information Systems Group, and Director of the Center for Digital Economy Research at NYU's Stern School of Business. I have been here since 1983, with occasional periods in industry. I was a Principal at Morgan Stanley in New York between 1994 and 1997, where I founded the Data Mining group and build systematic machine-learning based trading strategies for propriery trading. These strategies are now in use as a Managed Futures Program.

My longstanding research has been on building robust automated decision making systems from large databases. I have explored this line of research primarily in financial markets, where my algorithms have been employed by investment advisors. This research focuses on building predictive models based on data from a variety of sources such as financial times series, economic networks, blogs, news, and sponsored search markets. More recently, I have been working with IBM Research on the question of "What Data Should You Keep?" This view considers data as both an asset as well as a potential liability thereby taking a risk-based approach to Data Governance.

Another stream of my more recent research analyzes the relationship between information technologies and industry/business transformation, which asks the following types of questions: What is unique about information technologies that drive industry transformation and determine a firm’s success with IT investments? Why is it that some organizations succeed with their IT investments while others fail in the digital economy? More generally, how can firms think scientifically about the disruptive technologies that are on the horizon and exploiting them?

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		In the News Financial Times: Managing IT in a Downturn The Hollywood Reporter: "Study: Blogs help album sales" PC World: "Blog chatter can triple music sales" Computerworld: "Blog Chatter Can Triple Music Sales" Click here for more news. Welcome. I am a Paduano Fellow, Professor, Head of the Information Systems Group, and Director of the Center for Digital Economy Research at NYU's Stern School of Business. I have been here since 1983, with occasional periods in industry. I was a Principal at Morgan Stanley in New York between 1994 and 1997, where I founded the Data Mining group and build systematic machine-learning based trading strategies for propriery trading. These strategies are now in use as a Managed Futures Program. My longstanding research has been on building robust automated decision making systems from large databases. I have explored this line of research primarily in financial markets, where my algorithms have been employed by investment advisors. This research focuses on building predictive models based on data from a variety of sources such as financial times series, economic networks, blogs, news, and sponsored search markets. More recently, I have been working with IBM Research on the question of "What Data Should You Keep?" This view considers data as both an asset as well as a potential liability thereby taking a risk-based approach to Data Governance. Another stream of my more recent research analyzes the relationship between information technologies and industry/business transformation, which asks the following types of questions: What is unique about information technologies that drive industry transformation and determine a firm’s success with IT investments? Why is it that some organizations succeed with their IT investments while others fail in the digital economy? More generally, how can firms think scientifically about the disruptive technologies that are on the horizon and exploiting them? I received my Ph.D. from the University of Pittsburgh in 1984. click here for information on IBM's 1 billion commitment to On-Demand Computing
Paduano Fellow, Professor Head, Information Systems Group Director, Center for Digital Economy Research Stern School of Business New York University 44 West Fourth Street KMC 8-97 New York, NY 10012 phone: 212.998.0816 fax: 212.995.4228 email: vdhar@stern.nyu.edu