How to Make Data-Driven Investment Decisions Through AI

Brad Zapp’s mission is to invest in underrepresented founders and teams in underrepresented geographies.

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Podcast: How to Make Data-Driven Investment Decisions Through AI

Brad Zapp’s mission is to invest in underrepresented founders and teams in underrepresented geographies. He is a co-founder and managing partner of Connetic Ventures, a Covington, Kentucky-based VC firm that has built a machine learning model that allows them to make data-driven investment decisions.

Key Highlights

[00:01 – 09:53] Cash is King

  • The affluent have different alternative investment options that are not easily accessible to the general public
  • A stable annual return from the stock market is not enough to cover life’s daily demands
  • There are good investment options if you have cash liquidity

[09:54 – 20:53] The Most Important Asset

  • Interval funds have been around for a while but aren’t widely used
  • Real estate and fixed incomes are registered as venture capital interval funds
  • Brad explains what Foundernomics is
  • Psychological measures are one of the most obtainable types of data that can be obtained in an early-stage company
  • Your team is the best investment you could have other than the product

[20:54 – 32:51] Connetic Ventures

  • You could track the performance by incorporating personality traits and creating a profile
  • Foundernomics have given surprising results which you would otherwise think if you are not looking at the data
  • Every deal that’s being funded overlooks geographies or colors and is given to deserving founders based on analysis and data
  • Brad’s vision is to make capital available for every investor

[32:52 – 35:46] Closing Segment

Additional Links:

Brian’s Linkedin: https://www.linkedin.com/in/brian-c-adams/

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