Where the model hits the market, the actual testing begins. While best practices involve a human within the loop, adaptations of each humans and machines are required, advises Vidler, who is thought for turning cutting-edge AI into practical, high-performance solutions for institutional markets.
Key Discussion Points:
- Regulatory Boundaries: Why regulations around AI and scaling technology still face challenges in markets without central clearing.
- Why regulations around AI and scaling technology don’t work within the bond market, which still doesn’t have a central clearinghouse.
- Future of Trading: What trading and financial modeling might appear like in the following decade and why traders have to justify their decisions around the usage of AI.
- Human Strength: Why humility, curiosity and rigor will remain essential skills even within the age of AI, as humans will probably be crucial within the cycle.
- Purpose in Practice: How investors can apply AI in financial markets following the speculation and practice of “Tikkun Olam” – Hebrew for “repair the world” – by extending services to the retail sector, including private lending for small and medium-sized businesses.
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