Mads Ingwar and Martin Oberhuber - Full Stack Machine Learning (S3E8)

In this episode I chat with Mads Ingwar and Martin Oberhuber, co-founders of Kvasir Technologies, a systematic hedge fund powered by a full-stack application of machine learning. By full-stack I mean every layer of the process, including data ingestion, signal generation, portfolio construction, and execution, which gives us a lot to talk about. Our conversation covers topics ranging from the limitations of machine learning and hard lessons learned to how to keep up in a rapidly evolving field and thoughts about managing model risk. Given the niche knowledge in a field like machine learning, some of my favorite answers came when I asked how they might perform due diligence upon themselves or where they think other adopters of machine learning go wrong. For allocators, I think these answers are priceless. I hope you enjoy my conversation with Mads and Martin. CONNECT WITH US ⚓️ Newfound Research: https://www.thinknewfound.com​​ 🐦 Corey on Twitter @ choffstein (https://www.twitter.com/choffstein​​) PODCAST 🎙 Flirting with Models: https://www.thinknewfound.com/podcast​​ THIS VIDEO IS FOR ENTERTAINMENT AND INFORMATIONAL PURPOSES ONLY AND SHOULD NOT BE RELIED UP AS A BASIS FOR INVESTMENT DECISIONS. THE VIEWS EXPRESSED IN THIS SHOW ARE OF THE HOSTS AND DO NOT REFLECT THE VIEWS OF THE MUTINY FUND OR NEWFOUND RESEARCH. THE MUTINY FUND OR NEWFOUND RESEARCH MAY MAINTAIN POSITIONS IN SECURITIES DISCUSSED IN THIS SHOW.

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