Anju Kambadur

This talk focuses on the practical challenges and strategies for scaling generative AI agents in product development, particularly within a large financial data organization. It emphasizes the need for robust engineering practices, acknowledging the inherent fragility and evolving nature of LLMs and agentic systems. The core thesis is that building reliable AI products requires moving beyond basic LLM capabilities to implement structured development, resilient architectures, and clear organizational design.