Stephen discusses the shift towards interdisciplinary approaches in data science, emphasizing the impact of LLMs and rag pipelines on fraud detection. He highlights the challenges of entity linking amidst increasing data complexity and the ease with which information can now be connected. Curtis reflects on the implications of generative AI for data integrity, stressing the need for companies to distinguish between valuable and misleading information in an era of rapid data generation.
