What do airline ticket prices, car sales and thousands of corporate filings have in common? In each of these areas, we applied advanced big data techniques to tackle an equity investing conundrum that couldn’t be solved by human researchers alone.
Figuring out how to use big data is the next frontier for the asset-management industry. But applying analytical tools such as machine learning and artificial intelligence to disparate investment research themes also presents huge challenges. There’s no simple recipe for translating oceans of data into investment advantages. Equity investors must have the right culture—and ask the right questions—to successfully integrate data science into research and investment processes.
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