Abhijit discusses the dual investment in traditional machine learning and generative AI at Capital One, highlighting the importance of observability in both realms. He emphasizes the need for robust monitoring systems to manage model performance and data drift, while also addressing the complexities introduced by LLM hallucinations. The conversation reveals the necessity of building comprehensive infrastructure to ensure proper governance and logging in generative AI workflows.
