Evolution of Network Automation
Why It Matters
Operators’ inability to progress beyond early automation stages threatens the business case for autonomous networks; prioritizing data maturity, governance and organizational change is essential to unlock operational efficiency and the commercial benefits of true autonomy.
Summary
Industry leaders at a panel on the evolution of network automation said operators remain far short of the autonomous-network vision, typically scoring around 1.5–1.8 on TM Forum’s 0–5 automation scale while aspiring to level 4 autonomy. Panelists argued that the gap stems less from technology than from treating autonomy as a point solution instead of a multi-year, business-led transformation across process, people and platforms. Key prerequisites identified include high-quality, accessible data, a prioritized use-case roadmap using a value–risk framework, and strong change-management to drive adoption. The conversation also stressed that machine learning alone isn’t equivalent to AI-driven closed-loop autonomy and that realistic pilot-to-production scaling is a major hurdle.
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