Evolving Data Landscapes in Finance

This chapter reflects on the evolution of technology and data in the financial services sector, highlighting the shift from traditional financial statements to a more complex understanding of valuable data. The speakers discuss the challenges and methodologies of analyzing alternative data, including the use of sentiment analysis and natural language processing. Through their conversation, they explore the different types of data collected and the importance of establishing causation in market behaviors, emphasizing the intricacies of modern asset management.