AI for investment: a platform disruption

AI for investment: a platform disruption

04 Jun 2024|SuperReturn
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Mohammad RasouliMohammad RasouliAI Expert for Investment at Stanford University

Dr. Mohammad Rasouli is a thought leader in AI and technology for investment. He is currently both Stanford Graduate School of Business researcher as well as CEO and Founder of AIx2.ai. He is also PhD in AI, ex-McKinsey where he managed automation of top -20 private equity funds from the New York office, and ex-Microsoft engineer.

In AIx2.ai, Mohammad and his team have partnered up with many funds to empower them with state-of-the-art AI solutions. They also run AIx2-Stanford survey on AI for funds with hundreds of fund managers participated so far. His work in on AI for funds is covered in top industry conferences and journals. His technical papers on AI algorithms are published in top AI venues with 450+ citations.

Philipp ReinekePhilipp ReinekeAI/ML in management researcher; PhD at Stanford University

Philipp (Phil) Reineke is a Stanford PhD researcher in AI/ML for management at the Management Science and Engineering department with the Stanford Technology Ventures Group. He worked in and advised startups in the AI for alternative assets and alternative asset tokenization industries. His papers have been published in leading management journals such as the Academy of Management Journal and the Strategic Management Journal. Phil currently conducts a survey study on AI transformation of alternative asset funds in collaboration with researchers at Stanford Business School. In addition to his work in machine learning and alternative assets, he researches blockchain applications and blockchain governance. He co-created and was a lecturer of the Stanford class “Web3 Entrepreneurship” and was a board member of the Stanford Blockchain Club. Phil holds an MSc in Computational Social Science from Stanford University (US), an MSc in Organizational Behavior from the London School of Economics (UK), and a BSc in Business Administration from WHU business school (DE).

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Description

• What is driving the surge for AI in the investment business?

• What is the AI platform disruption in the investment business?

• How have large language models changed the game for AI platforms in the investment business?

• What are priority use cases for automation?

• What are third party solutions? how to evaluate build-vs-buy?

• Where should a fund start practically for an AI platform?

• How the risks can be evaluated in taking any AI response?

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