Harry Mamaysky, Professor at Columbia Business School and Chief Investment Officer at QuantStreet Capital, spoke with Rudolf Falat, founder of the Voice of FinTech podcast, about AI potential for investment management and asset allocation.
Here is what they covered:
- Harry – what's your background? How did you get to what you do today? Why re-join academia?
- Why are we now going through the AI revolution?
- Where are we in terms of adoption? Is general AI on the horizon? Will everyone be affected by AI?
- Why is letting AI trade by itself unlikely to work? How can AI be useful in investing?
- How correct are AI models? What would AI (Gemini) answer for asset allocation questions?
- What's the confidence level of such an answer?
- Are the answers factually correct? When mistakes are made, how grave are they?
- Do LLMs know about real-time news?
- How about systematic investing? Can you provide an example of QuantStreet's asset allocation architecture?
- What are the things that AI doesn't know about?
- What are your recommendations for resources from which to learn more about AI in Finance?
- What's the best way to reach out? QuantStreet Capital (website), newsletter, e-mail: hello@quantstreetcapital.com or Harry Mamaysky on LinkedIn
