My Agent Broke and I Have No Idea Why: AI Observability 101
Learning Objective 1
Define AI observability and distinguish it from traditional software logging, understanding why visibility into agentic workflows is critical.
Learning Objective 2
Identify key signals and failure patterns in AI agents, using log data to determine where and why an agent went wrong.
Learning Objective 3
Design a basic AI observability stack, including tools and practices to monitor, track, and analyze agentic AI workflows in production.
Type
Education Session
Primary Product
Agents & Copilot
Session Objective for Attendee
Considering,New To
Ability Level
101 - Beginner
Tracks
Categories
Sessions
- Agents & Copilot
- All Products
Speakers
Director, Solution Architects at eOne Solutions