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Run the Numbers

Understanding the AI Roadmap for Finance, Strategy, and Ops with Dr. Andre Retterath of Data-driven VC

Feb 16, 2024
Dr. Andre Retterath, investing partner at Earlybird Venture Capital, discusses the levels of the AI tech stack, changes in back office functions for finance and operations, and his favorite decision-making frameworks. They explore challenges in finance, improving AI's capabilities with numbers, and the integration of machine learning in venture capital investing.
01:01:14

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The different levels of the AI tech stack and the value accrual between the application layer and large language models are crucial factors in understanding AI and its implementation across tech organizations.
  • AI is transforming back-office functions in finance and operations, automating reporting processes, contract analysis, data enrichment, fraud detection, dynamic pricing models, credit scores, and risk assessment.

Deep dives

Data-driven VC and the Power of AI

In this podcast episode, Dr. Andre Reteroff, an investing partner at Early Bird Capital, discusses the intersection of AI, machine learning, and data in making investment decisions in the private markets. He highlights the different levels of the AI tech stack and how value accrues between the application layer and large language models. He explores how AI is changing back-office functions for finance and operations, and the challenges of using large language models for numbers and financial analysis. Dr. Reteroff also delves into the potential of AI in fraud detection, dynamic pricing models, credit scores, and insider trading. Throughout the conversation, he emphasizes the importance of combining AI algorithms with human judgment and the need for an augmented approach in venture capital.

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