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Why Risk Management Requires Taking Risks - A Practical Guide to Getting SRE Teams AI-Ready

USENIX via YouTube

Overview

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Learn how to responsibly integrate AI into SRE operations through this conference talk that addresses the pressure to "just add AI" without increasing operational risk. Discover practical lessons from 18 months of applying Large Language Models in high-stakes environments powering live gaming, simulation, and ML inference at NVIDIA. Explore real-world use cases that succeeded, understand common pitfalls encountered, and examine solutions for challenges including hallucinations, alert fatigue, and on-premises LLM deployment. Experience hands-on demonstrations of playbook indexing, live signal integration, and role-specific outputs built into a practical AI stack that maintains data security within your firewall. Gain honest insights, working examples, and clear implementation steps for moving beyond hype-driven approaches to create meaningful AI integration in your SRE workflows while maintaining operational reliability and security standards.

Syllabus

SREcon25 Europe/Middle East/Africa - Why Risk Management Requires Taking Risks: A Practical Guide...

Taught by

USENIX

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