Operations | Monitoring | ITSM | DevOps | Cloud

Your laptop is powerful enough to run your own LLM. Here's why that matters While centralized AI tools help teams, they miss something critical: your personal knowledge. Meeting notes, tips, tricks, and context only you have. Kyle Fransham shows how running a local LLM changes the game. Index your own "master document of knowledge" and query it right in your dev environment. No cloud needed. The tools are accessible. The setup is simple. And the impact? Game-changing for how you work.

In this episode of Masters of Data, we dive into how AI learns, examining both how we teach it and what it derives from human performance, as well as why context plays a crucial role in AI interactions. We break down five key components of AI training and talk about why we should view AI as a tool under human control rather than an autonomous entity. We explore the challenge of maintaining context in AI—much like our own memory struggles—and discuss methods, such as retrieval-augmented generation, that can help AI retain context more effectively.

Introducing Kentik AI Advisor. AI with a comprehensive understanding of your network that thinks critically and advises how to design, operate, and protect infrastructure at scale. With the rise of hybrid cloud networks and the growing demands of AI infrastructure, network teams are under pressure to balance cost, performance, and security, often with limited resources that delay critical strategic initiatives.

In a wide-ranging conversation, Robb Wilson—CEO and co-founder of OneReach.ai and author of The Age of Invisible Machines—joins Tim and Tom to explore the rise of agentic AI and its seismic implications for IT, organizations, and society. Robb breaks down the concept of agent runtimes, why conversational interfaces matter more than ever, and how adaptive, self-orchestrating systems will reshape work far beyond today’s service models.