Deep Dives: Edwin AI Use Cases

The Edwin AI Use Case Deep Dive is an advanced session designed to help LogicMonitor users understand how Edwin AI can support faster investigation, clearer incident context, and more efficient operations across complex environments.

In this session, you’ll learn how Edwin AI helps teams move from reactive alert triage to guided, AI-assisted investigation. We’ll explore how Edwin analyzes monitoring data, surfaces relevant context, identifies patterns, and helps operators understand what changed, what is impacted, and where to focus next.

Through practical examples and real-world operational scenarios, this Deep Dive focuses on where Edwin AI provides the most value, how to incorporate it into existing workflows, and how to use it to reduce investigation time, improve alert understanding, and support more proactive incident response. By the end, you’ll be equipped to confidently apply Edwin AI to common operational use cases and strengthen your team’s monitoring and response strategy.

In this session, you’ll learn how to:

• Understand how Edwin AI supports AI-assisted investigation and incident response

• Use Edwin AI to surface context, patterns, and likely areas of impact

• Apply Edwin AI to common operational use cases across monitored environments

• Reduce alert noise and investigation time by focusing on the most relevant signals

• Incorporate Edwin AI into existing LogicMonitor workflows and operational practices

• Identify best practices for using Edwin AI effectively in real-world environments

Who should attend:

👉 LM Academy Deep Dives are designed for existing LogicMonitor users—including practitioners, administrators, and power users—who want to deepen their expertise in LM Envision and Edwin AI by learning how to apply advanced features and workflows more effectively in real-world environments.