Jeremiah Lowin – Machine Intelligence and Risk Management - [Invest Like the Best, EP.20]

Jeremiah Lowin – Machine Intelligence and Risk Management - [Invest Like the Best, EP.20]

Jeremiah Lowin is probably the smartest guy I know, and that is saying something. He is an expert in the fields of statistics, artificial intelligence, and risk management—among many other things. He is currently the Director of Risk Management for a private investment firm in the New York area, but has spent years working with machine learning and AI. This conversation is broken up into two parts. In the first part, we explore artificial intelligence, machine learning, and models. Then we shift to what risk means in a portfolio and how it can be managed or at least redistributed (which starts around 40 minutes into the conversation). Please enjoy! For comprehensive show notes on this episode go to investorfieldguide.com/lowin/ For more episodes go to InvestorFieldGuide.com/podcast. Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub Follow Patrick on twitter at @patrick_oshag

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Ravi Gupta - AI or Die - [Invest Like the Best, EP.411]

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Marc Andreessen - The Battle For Tech Supremacy - [Invest Like the Best, EP.410]

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Graham Duncan - Talent Whisperer - [Invest Like the Best, EP.409]

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Blake Hall - Combat, Service, and Innovation  - [Invest Like the Best, EP.408]

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28 Tammi 20251h 34min

Dylan Field - Designing The Future - [Invest Like the Best, EP.407]

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Tal Zaks - Bridging Science, Medicine, and Returns - [Invest Like the Best, EP.406]

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My guest today is Tal Zaks. Tal is a physician-scientist turned biotech executive and investor who served as Moderna's Chief Medical Officer during their COVID-19 vaccine development, giving him an ex...

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Jack Kokko - Building AlphaSense - [Invest Like the Best, EP.404]

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My guest today is Jack Kokko. Jack is the CEO and Founder of AlphaSense, an AI-powered search engine for market intelligence. He shares how AlphaSense began by aggregating fragmented financial data so...

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