Can you really use unstructured data as part of your investment process? Why are leading financial services firms building practices to handle all sorts of data from satellite to browsing? Is the IoT a significant data point for financial analysis? Rob Passarella explores current applications and use cases for data, which financial services firms are eagerly gobbling up with alpha in mind.
Robert Passarella evaluates AI and machine-learning investment managers for Protégé Partners. Rob has spent over 20 years on Wall Street in the gray zone between business and technology, focusing on leveraging technology and innovative information sources to empower novel ideas in research and the investment process. A veteran of Morgan Stanley, JPMorgan, Bear Stearns, Dow Jones, and Bloomberg, he has seen the transformational challenges firsthand, up close and personal. Always intrigued by the consumption and use of information for investment analysis, Rob is passionate about leveraging alternative and unstructured data for use with machine learning techniques. Rob holds an MBA from the Columbia Business School.
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