Operations | Monitoring | ITSM | DevOps | Cloud

AI can write code fast, but it makes mistakes humans often don't. In this session from Ole Lensmar, CTO of Testkube, breaks down the real quality risks of AI-generated code and how engineering teams can build guardrails before those bugs hit production. What you'll learn: Common mistakes LLMs make (and which ones are unique to AI) Whether you're a developer leaning on AI to ship faster or a QA lead trying to keep up with the pace of AI-generated code, this talk gives you a practical framework for staying ahead of quality issues.

When a problem spans multiple domains, L1 teams only see part of the story. BigPanda incident correlation connects the dots automatically, identifying how incidents relate across teams and systems, surfacing the blast radius, and pointing directly to the root cause so teams can triage faster and escalate smarter.

Think of AI like ingredients. Enablers run on the device. Blueprints configure workflows. Mix and match for your frontline.

A few seconds adds up fast. Learn how picture proof of delivery speeds up routes and builds customer confidence.

What if you could go from request to result, instantly? No workflows to build. No APIs to chain. Just describe what you need. Resolve handles the rest. It selects the APIs, orchestrates the steps, and delivers the outcome in real time. This is agentic automation in action. Welcome to the Autonomous Enterprise. Watch now and see it in action#AgenticAI.