Cloud-native networks drive AI connectivity

Operators use cloud-native networks to run AI workloads, enabling low-latency, automated, and scalable connectivity for enterprises and industries.
Cisco positions mobile networks as programmable platforms, aiming to unlock new revenue streams while simplifying operations as industries depend increasingly on resilient, cloud-native connectivity.

Mobility is emerging as the digital economy’s backbone, with Cisco outlining its latest strategy at Mobile World Congress. Cloud-native, programmable networks are being framed as platforms that enable new revenue models while reducing operational complexity across industries and cities.

Recent updates focus on the Cisco Mobility Services Platform, plus IoT-as-a-service and a programmable core built to scale global networks.

Partnerships with operators such as AT&T, Tele2 IoT, and Wind Tre Group aim to speed up enterprise connectivity and reduce deployment times for industrial use cases.

Preparation for the AI era remains a core theme. Collaboration with NVIDIA focuses on embedding intelligence into wireless infrastructure while ensuring networks can support distributed AI workloads with low latency and predictable performance.

Ecosystem expansion includes joining the Linux Foundation initiative, while industry rankings signal momentum as operators move toward 5G Advanced and AI-native networks.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! 

Diplo chatbot can make mistakes. Consider checking important information.