Data Science in Asset Management
summary
Claims that the $100 trillion industry still runs on 30-year-old tech and redirected post‑GFC IT budgets to compliance, that many managers surrendered to passive by 2017, and that the arrival of big data plus machine learning revived active strategies. Describes a smart device for teaching trading (students then retail users) and a generative AI platform that performs verbal reasoning for education and trading, and argues crypto is maturing into an institutional asset that will reduce volatility as big money flows in.
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chapters (8)
- 0:00Introduction
- 1:03Technology in asset management
- 3:10Smart tools for decisions
- 4:34Big data and ML in finance
- 6:04Democratizing finance
- 7:30Crypto as asset class
- 9:40Future of markets and investors
- 11:58Q&A
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