Modern organizations in financial research are actually becoming intelligence organizations, similar in respect to the CIA and MI6. Finding needles in a haystack means they need to build haystacks encompassing signal processing, unstructured data, and satellite imagery. Drawing on real-world examples, Robert Passarella explains what data offers finance and why it might actually work.
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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