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The AI Readiness gap: Where infrastructure teams are getting AI wrong
AI has made developers faster, but it's also made security vulnerabilities appear faster, governance harder, and production incidents more frequent. The 2026 State of Infrastructure Automation report surveys 406 infrastructure teams to find out where AI readiness and platform maturity actually stand. This session covers the data, the gap between what teams say and what their workflows reveal, and what separates the organizations pulling ahead from those falling behind.
Join Dimitri and learn:
- How your peers are actually managing AI and governance in production today, what the data says about confidence vs. reality, and where most teams have a blind spot they don't yet know about.
- A behavioral framework for assessing your own AI readiness across five dimensions: AI integration depth, governance maturity, automation coverage, risk exposure, and platform readiness.
- What pioneer organizations did differently before AI arrived, why that discipline is now the single biggest predictor of production stability, and the specific steps still available to close the gap before agentic AI removes the margin for error.
