Data has always been the life blood of finance. However data in the first wave of computational finance was all structured. With the emergence of the Internet, social media, and the IoT, the nature of analysis for investment decisions has shifted from linear analysis to nonlinear techniques. Robert Passarella offers a survey on how we arrived at this point in finance, where we came from, and where we’re going, as we leave the world of model-driven finance and enter into the world of data-driven finance.
Robert Passarella evaluates AI and machine learning investment managers for Alpha Features. Rob has spent over 20 years on Wall Street in the gray zone between business and technology, focusing on using 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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