{"id":8791,"date":"2025-10-29T14:18:59","date_gmt":"2025-10-29T21:18:59","guid":{"rendered":"https:\/\/selectoraidev.wpengine.com\/?post_type=resources&p=8791"},"modified":"2026-06-29T03:12:23","modified_gmt":"2026-06-29T10:12:23","slug":"lumen-transformation-aiops-advanced-network-operations","status":"publish","type":"resources","link":"https:\/\/www.selector.ai\/ja\/resource\/lumen-transformation-aiops-advanced-network-operations\/","title":{"rendered":"Lumen\u2019s Transformation Journey to AIOPs & Advanced Network Operations by Greg Freeman: AI for Network Leaders Powered by Selector"},"content":{"rendered":"\n
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Lumen\u2019s Transformation Journey to AIOPs & Advanced Network Operations by Greg Freeman<\/h4>\n\n\n\n

Greg Freeman, Vice President of Network and Customer Transformation at Lumen Technologies,<\/strong> shares Lumen\u2019s 5-year journey to \u201cinvert the pyramid\u201d in network operations\u2014shifting from hands-on CLI work to machine-to-machine orchestration at scale. Starting with a people-skills pivot (netDevOps), Lumen built 350+ deterministic workflows running millions of times per year, backed by curated data (draining the \u201cdata swamp\u201d). They layer AI as feedback and enablement\u2014using ML (predicts), Generative (creates), and Agentic (acts)\u2014while governing actions via MCP-connected agents that launch proven workflows, not free-form changes. The focus remains on three tenets: prevent issues, fix fast, and communicate effectively.<\/p>\n\n\n\n

What You\u2019ll Learn<\/strong>:<\/h5>\n\n\n\n
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<\/path><\/svg><\/span>People \u2192 Data \u2192 Orchestration: How reskilling to netDevOps, cleaning data, and distinguishing task automation vs end-to-end orchestration enabled scale.<\/span><\/div>\n\n\n\n
<\/path><\/svg><\/span>Closed-Loop at Scale: What 350+ workflows (add\/delete config, card reboots, notices) running ~continuously look like\u2014and why determinism matters.<\/span><\/div>\n\n\n\n
<\/path><\/svg><\/span>AI in the Loop, Not Loose: Using ML, Generative, and Agentic AI with MCP to query tools, pick the right workflow, and return human-readable results\u2014without ungated network actions.<\/span><\/div>\n\n\n\n
<\/path><\/svg><\/span>Reality Checks: Why value stalls without curated data, guardrails, and cost control (tokens\/compute), and how Lumen frames success around don\u2019t let it break \/ fix fast \/ communicate.<\/span><\/div>\n<\/div><\/div>\n\n\n\n

If you wish to watch the entire day of AI for Network Leaders click here. <\/a><\/p>\n<\/div>\n\n\n\n

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Watch the recording here<\/h4><\/div>\n\n\n\n