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Blog

Practitioner’s Take: When Automation Becomes the Bottleneck

For years, I’ve talked with engineers who are caught in the same cycle: they start automating with good intentions, a few Python scripts here, an Ansible playbook there. It works. It saves time. It even feels empowering. But at some point, that success turns on itself. The scripts multiply. Ownership blurs. Debugging becomes a weekly

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AI & AIOps

From Automation to Autonomy: Building Trust in the Age of Intelligent Networks

A few weeks ago, while in London, I sat down with Ian Smith on the BASELINE Podcast for a candid conversation about AI, automation, and the future of network operations. In Part 1, we explored how automation can unlock human potential – the first step in transforming how enterprises think about efficiency and scale. (🎧

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AI orchestration visual showing how automation systems connect and scale through intelligent workflow management.

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

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MCP for NetOps illustration showing code and workflow integration for faster, automated network operations.

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

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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

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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

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Collaboration in automation illustrated with teams working together on data and workflows, highlighting why teamwork beats tooling.

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

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AI-driven infrastructure strategy illustration showing generative AI and automation for network leaders.

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

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