
As organizations adopt AI agents to automate complex workflows and decision-making, the conversation is shifting from model selection to data strategy. In this session, Rahul Pathak explores why data is the true foundation of production-ready AI agents. He will discuss how data quality, governance, retrieval, and evaluation directly impact an agent’s accuracy, reliability, and business value. Through practical enterprise examples, attendees will learn how to build trustworthy AI agents, avoid common pitfalls, and successfully deploy agentic systems in production while balancing performance, security, and scalability.