John Capobianco

In this discussion, John Capobianco, Head of DevRel at Selector and an expert in AI for network operations, shares his journey from a struggling student to a network engineer. He explores the transformation of network management through AI, emphasizes learning from failures, and introduces the concept of 'vibe ops.' John also highlights the role of AI and automation in simplifying network tasks, enhancing user interactions, and reshaping engineer roles, while previewing exciting opportunities at Selector's upcoming AI summit.

John Capobianco from Selector.ai discusses the innovative Model Context Protocol (MCP), which links AI models to diverse data sources for enhanced integration. He explores its potential for network automation, simplifying data transfer, and improving communication between clients and servers. Capobianco shares insights on using natural language interfaces for better network management and the importance of collaboration in implementing MCP. Additionally, he highlights AI's role in streamlining helpdesk operations, showcasing MCP's transformative capabilities for the future.

John Capobianco, an expert in AI agents, dives into how these transformative technologies are reshaping the tech landscape. He discusses the evolution of AI agents, from simple models to complex systems, and highlights their practical applications across industries. John emphasizes the importance of collaboration among multiple specialized agents and the ethical considerations that arise as AI becomes more integrated into the workforce. Listeners are encouraged to experiment and engage with AI development, balancing automation with essential human oversight.

Join John Capobianco, Head of Developer Relations at Selector, and Vreja Sriram, Head of Application and Data Engineering, as they dive into the intriguing world of AI-driven full-stack root cause analysis. They discuss how Selector customizes its models for clients, linking diverse systems to identify issues efficiently. Learn about a real-life case of Kubernetes auto-remediation and how they dramatically reduced support tickets by correlating data. Plus, discover the power of natural language queries for seamless insights!

John Capobianco, an expert in network automation and AI at Selector.AI, dives into the transformative role of AI in network operations. He discusses the development of bespoke AI models that enhance data analysis and decision-making. The conversation reveals how fine-tuned large language models can revolutionize network management with advanced features like customizable dashboards and autonomous root cause analysis. John also emphasizes the ease of integrating AI solutions for businesses without in-house expertise, making powerful network automation accessible to all.