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From Spikes to Stories: AI-Augmented Troubleshooting in the Network Wild // Shraddha Yeole

From Spikes to Stories: AI-Augmented Troubleshooting in the Network Wild // Shraddha Yeole

Shraddha Yeole from Cisco ThousandEyes explains how they are transforming network observability by moving from complex dashboards to AI-augmented storytelling. The session details their use of an LLM-powered agent to interpret vast telemetry data, accelerate fault isolation, and improve MTTR, covering the technical architecture, advanced prompt engineering techniques, evaluation strategies, and key challenges.

AI Agents & LLMs: Real-Time IT Issue Prediction & Prevention

AI Agents & LLMs: Real-Time IT Issue Prediction & Prevention

Amanda Downie explains the shift from reactive IT firefighting to proactive optimization, detailing how AI agents and LLMs use predictive analytics, topology mapping, and continuous learning loops to anticipate and prevent system issues before they occur.

Self-Driving Storage: AI Agent Automation for Data Infrastructure

Self-Driving Storage: AI Agent Automation for Data Infrastructure

Explore the concept of "self-driving storage," where AI and AIOps autonomously manage data infrastructure. Learn how mobile storage partitions, predictive analytics, and agentic AI are used to automate capacity management, workload placement, and on-demand performance optimization without human intervention.

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