Aug 27, 2025

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.

Aug 27, 2025

Threat Intelligence: How Anthropic stops AI cybercrime

Anthropic's Threat Intelligence team discusses their new report on how AI models are being used in sophisticated cybercrime operations. They cover the concept of "vibe hacking," a large-scale employment scam run by North Korea, and Anthropic’s multi-layered strategy to detect and counteract these threats.

Aug 26, 2025

How Scale AI is Pioneering the Future of Work

Ben Scharfstein from Scale AI and a16z's Joe Schmidt discuss the nuances of enterprise AI adoption, contrasting vertical AI products with custom solutions. They delve into the 'forward-deployed engineering' model as a strategy to build durable moats by solving complex, specific enterprise problems, effectively 'trading margin for moat' in the new AI paradigm.

Aug 26, 2025

How This 25-Year-Old Built A $675M Legal AI Startup (With No Legal Experience)

Max Junestrand, co-founder and CEO of Legora, shares insights on building a successful vertical AI company for the legal industry. He discusses their product strategy, the technical stack designed for a multi-model future, the go-to-market motion for conservative industries, and the challenges of scaling from 10 to 100 people in 13 months.

Aug 26, 2025

AI traces are worth a thousand logs

An exploration of how a single, structured trace, based on OpenTelemetry standards, offers a superior method for debugging, testing, and understanding AI agent behavior compared to traditional logging. Learn how programmatic access to traces enables robust evaluation and the creation of golden datasets for building more reliable autonomous systems.

Aug 26, 2025

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.