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AI & AIOps
From Scripts to Systems: Why Orchestration is the Missing Link in AI Adoption
Every enterprise leader I talk to today is thinking about AI. Some are testing models, others are piloting use cases, and nearly all are trying to understand how AI fits into their existing automation strategy. Yet a common theme keeps surfacing – progress feels slower than expected. That’s not because teams lack talent or ambition.
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From Automation to Agentic AI: Lumen’s Journey to Self-Driving Networks
From Automation to Agentic AI Lumen’s Journey to Self-Driving Networks As AI reshapes the fabric of digital infrastructure, network leaders are redefining how scale, reliability, and intelligence coexist. In this session from Selector’s AI Summit for Network Leaders, Greg Freeman, Vice President of Network Customer Transformation at Lumen Technologies, shares the five-year transformation journey that
AI & AIOps
From Friction to Flow: Why MCP Matters for NetOps
Automation is a function of friction. Jeremy Schulman nailed it on his recent Packet Pushers podcast with Total Network Operations when he said that. Every ticket, every brittle script, every tribal-process that lives only in someone’s head is friction. And friction is the enemy of scale. Friction is the ticket backlog that never shrinks. It’s
AI & AIOps
From Vibe-Coding Automation Scripts to Self-Service: Turning Code Into Products
Most network teams I talk to share the same frustration: scripts never scale. A clever bit of Python lives on someone’s laptop, but getting it into production - governed, reusable, and consumable by others - feels like climbing a mountain. Tickets pile up, approvals slow everything down, and the promise of automation gets stuck in
Blog
Automation & AI in Austin, Getting Started with MCP, & More
Welcome to another edition of Itential Insights. Here’s what you’ll find this month: A first look at Network Automation Forum's AutoCon 4, where automation and AI converge to define the next era of network innovation A step-by-step guide to connecting AI to your infrastructure with Itential MCP. Insights from EMA Research, Armstrong, and Itential on
Blog
Automation is a Team Sport: Why Collaboration Beats Tooling
Automation promises speed, reliability, and scale. Yet, if you walk through enterprise programs today, you’ll often see a familiar story: a few quick wins, then a plateau. The scripts multiply, the tools expand, but adoption stalls. What causes that stall isn’t a lack of technology. It’s a lack of participation. The organizations that scale automation
AI & AIOps
Strategic Imperatives for Infrastructure Leaders in an AI-Enabled World
When I was invited to speak at the Selector AI Summit for Network Leaders, my first thought was how to bring something practical to a conversation filled with groundbreaking demos and AI hype. My goal wasn’t to impress with futuristic promises – it was to get real about where most enterprises actually are, what’s holding
AI & AIOps
Getting Started with Itential MCP Server
What is MCP? The Model Context Protocol (MCP) is an open standard introduced by Anthropic in November 2024 that solves the "universal language problem" in AI-tool integration. Just as USB-C provides a universal connector for devices, MCP provides a standardized way for any AI assistant to connect to external tools and data sources without requiring
AI & AIOps
MCP 101: Understanding the Model Context Protocol
What is MCP? MCP is an open protocol introduced by Anthropic in November 2024 that standardizes how AI systems connect to external tools and data sources. Instead of every AI framework requiring custom integration code, MCP provides a common language that any compatible AI can use to interact with any MCP-enabled tool. The protocol operates
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