HN837: Agentic AI to Reduce MTTR
Ethan Banks and Eduard Dulharu discuss at AutoCon 5 how agentic AI can decrease Mean Time to Recovery (MTTR) in complex networks by using deterministic workflows and customized models for telemetry analysis and solution proposals.
MAIN POINTS
- Agentic AI helps reduce MTTR in complex network environments.
- AI agents utilize deterministic workflows for efficient problem-solving.
- Custom fine-tuned models are used to analyze network telemetry.
- Solutions are proposed based on AI analysis to improve recovery times.
TAKEAWAYS
- Implementing agentic AI can significantly enhance network recovery efficiency.
- Deterministic workflows ensure consistent and reliable AI-driven solutions.
- Fine-tuning models is crucial for accurate telemetry analysis.
- Proactive AI solutions can minimize downtime and improve network performance.