Stop Paying for L1 Guesswork: Build an Agentic NOC You Can Actually Trust – BigPanda Triple-T
L1 operations today are manual, reactive, and error-prone. Your alerts sit siloed, root cause gets pieced together by hand, and by the time an issue is triaged and routed, the SLA clock is already running out.
This session looks at what it takes to close that gap with agentic AI. This isn’t another alerting tool bolted onto the same workflow, but agents that detect, triage, and act on a real-time model of how the environment is connected and behaving. We’ll cover what the underlying operational context needs to look like for an agent to act with confidence, where humans still belong in the loop, and how enterprises are moving from tens of minutes to seconds on their highest-volume incident work.
Kevin works with enterprise organizations to modernize incident management by moving
beyond reactive alert handling to an AI driven, proactive operations model. His work centers on
applying AI to simplify complexity, drive better decision-making, and transform how IT
organizations deliver value to the business.
