Venture Capital Investing Process Improvement Through "Machine Learning"

Technology executive Veronica Wu looks at machine learning and the process of Silicon Valley venture capital investing, a traditionally a “long shot” method, with an eye to improving win percentage. In a McKinsey question and answer session as part of their June quarterly report, Wu reveals how they use technology to build better predictive models for venture capital investing that integrate with humans. Like much of the gloss coming out of Silicon Valley regarding “machine learning,” however, the exclusively for paying members. Access all of our content on including years of timeless investment news and in depth analysis for only a few dollars a month by signing up here while also supporting quality content and journalism, or learn more about our premium content here

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