Build AI Confidence

AI is quickly becoming part of modern engineering operations, but trusting it during production incidents requires more than automation. Engineering leaders need a practical way to evaluate readiness before expanding AI into high-stakes workflows.

Join this live DZone webinar with Datadog to explore a maturity model built from real-world reliability engineering experience. You'll learn how leading teams assess AI readiness, build confidence over time, and adopt AI at a pace that protects operational reliability.

You'll leave with:

• A practical framework to benchmark your organization's AI incident response maturity
• Strategies for determining where AI can safely support critical incidents
• A phased roadmap for expanding AI adoption with greater confidence

Who should join: Engineering leaders, SREs, platform engineers, DevOps leaders, and incident response professionals evaluating AI adoption.

Can't attend live? Register to get the recording.

Reserve My Spot