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AI in Portfolio Management: Challenges and Innovations
This chapter explores the application of AI in enhancing portfolio monitoring and management, focusing on data sourcing, entity matching, and the integration of competitive analysis frameworks. It discusses the complexities faced by fund managers in creating a cohesive data ecosystem and the advantages of utilizing AI to streamline data extraction processes. The conversation also highlights the importance of data validation and the ongoing evolution of AI technology in transforming traditional financial tools.