Cloud cost management was already complex. AI made it exponential. This session covers the full arc — from the FinOps fundamentals that keep cloud spend in check, to token optimization, to the question most teams haven't gotten to yet: what are AI investments actually returning to the business? The metric is shifting. This session is about getting ahead of it.

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AI isn't just helping developers write code faster — it's becoming the primary author. That changes everything: how pipelines are built, how quality is enforced, how teams are structured. This session brings together leaders at the front edge of agentic AI deployment to share what's working, what broke, and what they wish they'd known earlier.

Most organizations are somewhere in the middle of AI adoption — past the pilots, not yet at scale. This session is for them. Leaders share honest data on what moved the needle and what didn't: where resistance came from, what the quality tradeoffs looked like, and how they measured whether any of it was worth it.

AI-generated code moves faster than most security teams were built to handle. This session examines what it takes to keep pace — from automated security testing and continuous attack surface mapping to the emerging threat surface of agentic AI and model integrations like MCP. What does a modern security posture actually look like when the code is writing itself?

Engineering teams can produce code faster than ever, but shipping more doesn't automatically mean performing better. Sustainable performance depends on reliability, clear ownership, fast feedback loops, and the ability to manage growing complexity.This panel will explore how engineering leaders build systems that help teams move faster without increasing incidents, rework, or burnout.