AI in Production: LLMOps, Observability & Reliability

Delivered a technical session on AI in Production and LLMOps, focusing on the challenges of deploying, monitoring, and maintaining Large Language Model (LLM) applications in production. The session covered LLM observability, performance monitoring, reliability, evaluation, and operational best practices for building production-ready AI systems. It also highlighted how observability helps teams identify issues and continuously improve AI application performance.