MLflow 3.12 for Agentic AI: PromptOps, Observability & AI Evaluation

Enable production-grade Agentic AI through Prompt Ops, tracing, observability, and AI evaluation. This live demo session showcases prompt versioning, multi-agent tracing, hallucination detection, and evaluation workflows to help enterprises operationalize governed, observable, and scalable GenAI systems with real-world deployment patterns.

By the end of this session, attendees will be able to:
-Understand how MLflow 3.12 supports PromptOps, AgentOps, and AI evaluation

-Implement prompt versioning, tracing, and observability for Agentic AI systems

-Monitor and debug multi-agent workflows using MLflow Tracing

-Evaluate GenAI quality using LLM-based evaluation frameworks

-Apply enterprise-ready governance and operationalization patterns for scalable GenAI deployment