Accelerate with AIOps
Instantly detect and fix issues across your network and infrastructure with powerful AI/ML-driven capabilities. 

Selector AI

Modern operational intelligence platforms depend on accurate, structured metadata to function effectively. When metadata is incomplete or misaligned, the ripple effects can derail everything from incident response to automation initiatives. But how do you ensure your network data model is more than just documentation—and instead becomes the strategic foundation for AI-powered operations?

Join us for a live discussion with Kris Beevers, Co-founder & CEO of NetBox Labs, and Dave Siegel, Founder & CEO of NetMavens, as they dive deep into why metadata matters, how it powers insights and automation, and what it really takes to maintain a complete and trustworthy metadata source of truth.

At Selector, we know that operational intelligence is only as strong as the data feeding it. That’s why we’re teaming up with NetBox Labs for a live discussion on one of the most overlooked—but critical—components of a successful AIOps deployment: structured network metadata.

What We’ll Cover:

*   Why metadata matters for AI-driven correlation, deduplication, and automation
*   How Selector uses network models to power actionable operational insights
*   Real-world challenges and strategies for building a clean, complete metadata store
*   What teams need to know to get NetBox (and other sources of truth) “Selector-ready” and AIOps ready


The criticality of a well defined network model for your AIOps deployment

Join **John Capobianco**, Product Marketing Evangelist at Selector AI, and **Du’An Lightfoot**, founder of *Lab Every Day* with over 15 years of industry experience and a current focus on AI/ML and AWS, for a timely and technical conversation on how Model Context Protocol (MCP) is enabling an emerging Internet of AI Agents.

In this session, John and Du’An explore the evolution from traditional networking to AI-driven architectures, with a particular focus on how MCP is opening new doors for innovation, interoperability, and automation in tech.

This webinar will cover:

🔹 **What is MCP?**

An introduction to the Model Context Protocol, its purpose, and why it’s essential for scalable, modular AI systems.

🔹 **How MCP compares to other protocols and techniques**

Get a technical breakdown of how MCP stacks up against alternatives like LangChain, ReAct, and agent messaging frameworks—and why it matters for real-world deployment.

🔹 **How AWS and Selector AI are implementing MCP**

See how MCP is being adopted by cloud leaders like AWS and AI-native companies like Selector AI to orchestrate intelligent agents, streamline workflows, and enhance observability and automation across modern infrastructures.

🔹 **The shifting landscape of networking roles**

Understand how AI is transforming the core responsibilities of networking professionals—and why embracing these changes can unlock new career paths and technical domains.

🔹 **The enduring value of the *Lab Every Day* mindset**

Du’An will share how his philosophy of continuous learning and experimentation is more relevant than ever in the age of AI and what it takes to stay ahead.


An Internet of AI Agents: A Discussion about Model Context Protocol 

Join **Varija Sriram, Head of Application and Data Engineering at Selector**, and **John Capobianco, Product Marketing Evangelist at Selector AI**, as they discuss how **Kubernetes and microservices** power Selector AI’s cloud-native architecture.

This session will cover:

*   **Cloud-native foundation** – How Selector AI is built on **Kubernetes**, ensuring scalability, flexibility, and resilience.
*   **Microservices architecture** – A deep dive into the various **microservices** that enable Selector AI’s intelligent network automation.
*   **Infrastructure as Code (IaC) with YAML** – How simple **YAML files** allow for seamless scaling, feature updates, and adjustments.
*   **Effortless scaling** – How Selector's S2M monitoring platform is used to enable **auto-scaling** and \*\*rapid expansion in \*\*Kubernetes, adapting to network demands with ease.

Reserve your seat today!


Infrastructure as Code: Microservices with Kubernetes at Selector

Join Selector and Itential for an electrifying webinar unveiling our game-changing integration, designed to turbocharge network and infrastructure operations. 

We’re bridging the alert-to-action gap with Selector’s AI-powered observability and Itential’s intelligent orchestration, delivering real-time, closed-loop automation for hybrid and multi-cloud environments. Say goodbye to manual firefighting and hello to instant root cause detection, policy-driven fixes, and seamless workflows that keep your infrastructure humming. 

In this webinar we’ll showcase live demos, real-world use cases, and actionable insights to slash MTTR, tame alert noise, and automate with confidence. This is your chance to geek out with industry leaders and see how AI-driven ops can transform your network game!

What You’ll Learn:

*   How Itential + Selector AI delivers real-time insights and automated remediation for hybrid networks
*   Strategies to reduce alert fatigue and boost operational efficiency with AI-driven analytics
*   Practical steps to implement closed-loop automation for faster, more reliable network ops
*   Real-world use cases showcasing the integration’s impact on compliance and performance

What You’ll Walk Away With:

*   How to cut out manual escalations
*   How to standardize remediation without adding tools
*   What “AI-driven ops” looks like when it’s actually running
*   How to build your first closed-loop use case in your environment
