NYT Data Scientist Chris H. Wiggins Discusses the Use of AI in Asset Allocation

Applications of AI


Latest episode of Alpha Improvements Michael Oliver Weinberg hosts the podcast The New York Times Associate Professor of Applied Mathematics at Columbia University. This episode focuses on the use of AI and large language models (LLMs) in asset allocation and investment strategies.

The main points discussed were:

  • How to transform and enrich investor data to improve asset allocation and investment strategies
  • Understanding the strengths and limitations of AI in investment decision-making
  • Industry Disruptors and the Advantages of AI Adoption among Incumbents
  • A framework for descriptive data sets, predictive models, and prescriptive solutions in data science
  • Considerations when hiring a data scientist for your investment team
  • Widespread acceptance of AI-related challenges
  • The potential impact of AI on the workforce in the near future
  • AI investment opportunities including deep learning networks and supporting infrastructure (data centers, model training, data)

of Alpha Improvements The podcast is brought to you by Vidrio Financial and is sponsored by View alternatives Alongside The Fund Marketer and PEVCtech.



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