- Highlights
- Chapters
- Transcript
00:11
Joel Joes leads AI OPs workshops focused on API and automation for global MSP partners.
00:14
The demo showcases an AI agent designed for operations that analyzes alarms, identifies root causes, and auto-remediates issues.
00:25
A human-in-the-loop approach allows for review and confirmation before any remediation actions are taken.
00:13
The proof of concept (POC) uses a Cisco modeling lab topology with 15 simulated devices to demonstrate functionality.
00:10
The agent performs telemetry checks by pinging all devices to assess connectivity and identify issues.
00:16
The process involves three main steps: analyzing alarms, root cause analysis, and remediation.
00:20
Detailed insights and summaries are generated from diagnostic commands run across all devices to determine the root cause of any detected problems.
00:23
The final report includes alarm descriptions, root cause analysis, recommendations, and outcomes for auditing purposes.
AI Generated
Agentic AI for Operations - Joel Jose (joeljos@cisco.com)
Joel JoseApr 28
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