AI‑driven, cloud‑native simplification will slash costs, boost network performance, and accelerate 5G/6G service deployment, giving operators a decisive competitive edge.
Network simplification has become a strategic imperative as mobile networks grow in complexity, and the NGMN is positioning AI‑driven, cloud‑native architectures at the forefront. In its upcoming press briefing at MWC, board director Bernard Bureau outlined the alliance’s new “cloud native next chapter” paper, which introduces five AI adoption levels and a roadmap toward fully autonomous, agentic operating models.
The guidance emphasizes decoupling hardware and software through open solutions, deploying AI agents across the run, core, and transport layers, and selecting appropriate cloud‑native stacks for 5G standalone. By leveraging AI for predictive analytics, prescriptive troubleshooting, and self‑healing, operators can cut manual effort, improve energy efficiency, and meet regulatory and cost‑of‑ownership pressures while enabling sophisticated services such as network slicing.
Bureau highlighted AI as the foundational enabler, noting its role in transforming planning, deployment, optimization, and daily operations. He cited examples of AI‑managed complex core services and the need for exposed network APIs to empower developers, underscoring the shift from rule‑based to autonomous network management as 5G matures toward 6G.
The move promises lower operational expenditures, faster rollout of new services, and a more resilient infrastructure, compelling operators to adopt open AI ecosystems now to stay competitive in the evolving telecom landscape.
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