# AI-Powered Observability: From Questions to Dashboards and Root Cause

> Use AI to build dashboards, create alerts, and diagnose issues across logs, metrics, and traces. See OpenObserve’s AI Assistant in action and connect LLM tools like Claude and ChatGPT to your telemetry through MCP.

Source: https://openobserve.ai/webinars-videos/ai-observability-dashboards-root-cause-analysis/
Published: 2026-05-14

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Turn natural language into dashboards, alerts, and root cause analysis with AI.

## What you'll learn

- Build an NGINX dashboard in 30 seconds using natural language
- Monitor Kubernetes CPU, memory, and disk usage
- Check application health and create alerts for high error rates
- Investigate root causes across logs, metrics, and traces
- Inspect the queries and evidence behind the AI’s findings
- Connect AI tools to your telemetry through MCP and investigate from your IDE or CLI

See how OpenObserve’s AI Assistant uses natural language to build dashboards, check application health, create alerts, and investigate root causes across logs, metrics, and traces. This AI-powered observability demo covers NGINX logs, Kubernetes monitoring, and connecting LLM tools like Claude and ChatGPT to your telemetry through MCP.

## Resources

- [Try OpenObserve in the Cloud](https://cloud.openobserve.ai/)
- [Follow the Setup Guide](https://openobserve.ai/docs/getting-started/)
- [Explore AI Assistant](https://openobserve.ai/ai-assistant/)
