The Rise of Intelligent IT Operations: AI-Driven AIOps for Enterprises
- July 14th, 2026 | 03.00 PM - 06.00 PM
The Problem No One Wants to Own
Most IT teams are not short on monitoring tools. They’re short on time.
Alerts fire all day, dashboards pile up, and when something breaks the people who know how to fix it spend the first 30 minutes just working out what went wrong and why. Root cause hides somewhere between the application, the middleware, the infrastructure, and three different cloud consoles and the clock on MTTR keeps running the whole time.
Designed for IT leaders and practitioners who have moved beyond the “what is AIOps?” phase, this session focuses on the real impact of AIOps – its ability to automate repetitive tasks, detect problems before they impact users, and maintain operational resilience across applications, middleware, infrastructure, and cloud resources.
Deep-Dive Topics
From Reactive Firefighting to Proactive Operations How AI moves your team from chasing alerts to getting ahead of them:
- AI-powered root cause analysis that points to the why, not just the what
- Anomaly detection that flags trouble before it becomes an outage
- Proactive issue resolution across enterprise apps, middleware, and infrastructure
- Prompt-based issue analysis — ask in plain language, get operational insight back
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Agenda
- Introduction to Enterprise AIOps and Modern IT Operations Transformation
- Legacy vs. Modern AI-Driven Operations Support Models
- AI-Powered RCA, Anomaly Detection, and Proactive Issue Resolution
- Automating Incident Management and Operational Workflows Using AI Agents
- Integration with Datadog, Dynatrace, ServiceNow, Confluence, and Teams
- Prompt-Based Issue Analysis and Intelligent Operational Insights
- Auto-Remediation and SOP Digitization Using AI-Driven Workflows
- Real-World Use Cases: Infrastructure Monitoring, Operations Automation, and Proactive Alerting
What You’ll Learn
A clear-eyed look at where legacy, manual operations support falls short — and what an AI-driven model does differently when something goes wrong at 2 a.m.
The mechanics behind faster recovery: AI root cause analysis, anomaly detection, and auto-remediation working together so issues get caught — and often resolved — before they escalate.
How this plugs into the tools you already depend on instead of becoming one more thing to manage.
Meet the Experts
Senior Vice President
Practice Lead – Middleware
Who Should Attend
The Rise of Intelligent IT Operations: AI-Driven AIOps for Enterprises
- July 14th, 2026 | 03.00 PM - 06.00 PM
- 55 Shuman Blvd, Suite 275, Naperville, IL (Conference Room)
