Cornell's Lopez de Prado Sees Financial Reckoning With AI

The video discusses the transformative role of data in finance, highlighting the evolution of datasets and their impact on investment decisions. It explores the effects of automation on finance jobs, emphasizing the potential for retraining. The concept of crowdsourcing in finance is examined, along with the role of machine learning in investment. The video also addresses education and global competition, particularly concerning visa issues for international students. It concludes by discussing the need to adapt to technological changes without necessarily becoming coders and addresses the challenge of bias in AI systems.

How does the finance industry utilize data from various sources?

What are the potential outcomes if the U.S.-China trade tensions continue?

What is the significance of bias in algorithms compared to human decisions?