Ep. 312: Deepak Gurnani on Five Steps for Using AI in Investing
Macro Hive Conversations With Bilal Hafeez
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Harnessing Data in AI Investment Strategies
This chapter explores the pivotal role of data in the successful implementation of AI in investment management, outlining the critical first steps of problem framing, data curation, and feature engineering. It emphasizes the complexities of handling both conventional and alternative data, advocating for a hypothesis-driven approach while highlighting the importance of meticulous data cleanup. Furthermore, the discussion covers advancements in Natural Language Processing for sentiment analysis and the potential pitfalls of relying on large language models in financial modeling.
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