The shift toward cloud-native architectures is now seen as a critical enabler of agility, speed, and business differentiation with direct implications for operating models, talent strategy, and future AI-native capabilities. In a recent session, leaders from BT, Deutsche Telekom Technik, Elisa, Wind River and Rakuten Symphony explored how telcos can accelerate cloud-native adoption and maximize its business impact.
Speakers:
Watch the full interview.
The discussion made one thing clear: telcos that view cloud-native as a pure IT project will miss the bigger opportunity. The transition to cloud-native must be led as a business transformation – one that reshapes how telcos operate, deliver value to customers, and compete in a fast-changing market.
Success requires aligning cloud-native roadmaps with broader business and digital strategies. That means focusing not just on architectural principles, but on building the right organizational culture, upskilling teams, driving automation end to end, and developing strong data foundations to support future AI use cases. The goal is to move from “cable to code” — with software-led agility and customer-centric innovation at the heart of the network.
Operators are already seeing tangible benefits as they embrace cloud-native architectures. Automation and horizontal platforms are driving faster time to market, enabling operators to react more quickly to customer demands and external threats. The ability to roll out fixes and new features in days, not weeks or months, is becoming a critical competitive advantage.
Cloud-native is also changing the economics of telecom operations. While OPEX pressures remain – particularly as public cloud adoption introduces new cost models – the broader value case is clear. Agile networks allow telcos to drive operational efficiency, improve asset utilization, and pursue new revenue streams in areas such as IoT, vertical solutions, and AI-enabled services.
A strong data strategy is essential to this evolution. Cloud-native networks generate vast volumes of operational data, but unlocking its value requires thoughtful data architecture, governance and tooling. Without clean, accessible data, AI-native ambitions will stall. Operators that master this layer will be best positioned to lead in the next wave of telecom innovation.
Equally important is the cultural shift required. Cloud-native success depends on cross-functional collaboration, agile ways of working, and a mindset of continuous learning. Horizontal platforms help break down traditional silos, making it easier to reskill talent and foster a more dynamic workforce.

Key takeaways
Culture and talent must evolve. Building a cloud-native telco requires investment in people – from upskilling and talent mobility to fostering agile, software-first mindsets.
"Executives are saying: how can I take advantage of what cloud native enables, not as a technology, but as a way of running and changing my business? This is unlocking a different way of thinking. The business case is predicated on not just the cost that they save, but what additional synergies and revenue streams they can unlock.”
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