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While AI conversations often center on data science and machine learning teams, the reality is that SRE, delivery, and cloud engineering teams are sitting on a goldmine of opportunities to leverage AI in their daily workflows—no ML expertise required. This talk bridges the gap between AI hype and practical implementation, demonstrating how infrastructure and operations teams can harness AI tools today to eliminate toil, accelerate incident response, and optimize cloud operations. Through real-world examples and live demonstrations, we'll explore creative applications of AI that go beyond basic chatbot assistance: using LLMs for intelligent runbook generation and execution, implementing AI-powered log analysis that actually reduces MTTR, automating post-mortem creation with context-aware insights, and leveraging AI for capacity planning and cost optimization. We'll also address common pitfalls, security considerations, and how to measure the actual impact of AI adoption in operations. Whether you're skeptical about AI or eager to adopt it, this session provides a pragmatic roadmap for enhancing your engineering effectiveness without waiting for your organization's official AI strategy.