AI-Powered Root Cause Analysis for Proactive Device Insights (For Early Adopters)
Table of Contents
Overview
Proactive Device Insights includes AI-powered root cause analysis, helping IT teams identify the most likely causes of device issues and accelerate troubleshooting. Using endpoint information collected through FastViewer, Neo analyzes device telemetry, historical patterns, and available diagnostic information to generate root cause hypotheses for detected problems.
Neo identifies and ranks potential causes, explains the supporting evidence, and highlights affected components or services. For example, when a device experiences low disk space, Neo can identify potential causes such as accumulated temporary files, growing application data, or excessive log files.
Key Capabilities
- Identify and rank the most likely causes of a detected device problem.
- Explain potential causes using available device telemetry, historical patterns, and diagnostic information.
- Receive recommended validation steps and possible remediation actions.
- Root cause hypotheses are presented directly within the affected device's insight.
How It Works
Root cause hypotheses and troubleshooting recommendations are presented within the Device Insights experience. Each hypothesis includes supporting evidence and the affected components or services, along with a recommended validation step. Where applicable, recommendations can include using Remote Assistance to investigate or resolve the issue.
When there is insufficient evidence, the system clearly indicates this instead of presenting an unsupported conclusion.
Prerequisites and Scope
- Requires FastViewer integration for endpoint information collection.
- Covers AI-powered root cause hypotheses, supporting evidence, and recommended troubleshooting actions. Actual remediation execution is not included in this capability.
This capability is offered as an Early Adopter feature. Availability may be limited; confirm current rollout status before publishing this article.