Want to fix signal overload and automate your incident response? Discover how enterprise teams link AIOps, artificial intelligence for IT operations, with Ansible Automation Platform to drive zero-touch resolution. We know monitoring platforms provide more data, context, and intelligence than ever before, but how do organizations safely translate that massive influx of operational signals into trusted, auditable enterprise actions? In this session, product leaders from Red Hat, IBM Instana, Splunk, and ServiceNow look at the critical connection between AI ops, observability, and automated execution layers.
Discover how open frameworks like the Model Context Protocol (MCP) allow AI agents to safely orchestrate incident resolutions within strictly defined operational boundaries. We also break down a practical, 3-step roadmap to help teams safely move from manual validation to zero-touch automation without losing oversight or risk mitigation capabilities.
00:00 Introduction to the AIOps journey
00:45 Panel introductions IBM Instana, ServiceNow and Splunk
02:48 Bridging intelligence with Ansible playbooks
04:45 Building confidence and earning trust in AI operations
06:06 High-quality data and audit trails
09:14 Best strategy for starting with AIOps
12:56 Closing gaps between intelligence and execution
#RedHat #Ansible #AIOps #ITOps #Automation
