Communications

Information Hub

• How can communication service providers reduce network operations costs?

  Communication service providers (CSPs) reduce network operations costs primarily through network automation and autonomous operations. By replacing manual, reactive processes with AI-driven orchestration and assurance, operators lower total cost of ownership (TCO), improve resource utilization and cut fault-handling effort across 4G, 5G, edge and fixed networks without expanding headcount or compromising reliability.

• What is a zero-touch, self-healing network and why does it matter?

  A zero-touch, self-healing network detects, diagnoses and remediates issues automatically, with little or no human intervention. Built on AIOps and closed-loop service assurance, it shifts operators from a reactive network operations center (NOC) to proactive, intent-based operations, reducing outages, shortening mean time to repair (MTTR) and enabling autonomous networks to scale reliably. 

• How do telecom operators monetize their 5G networks?

  Operators monetize 5G by turning the network into a programmable platform rather than selling connectivity alone. Key approaches include exposing network capabilities as network APIs through CAMARA and GSMA Open Gateway to unlock new B2B revenue, offering network slicing for guaranteed performance, and providing GPU-as-a-service at the edge for AI workloads the foundation of network monetization.

• How can operators modernize legacy OSS/BSS without service disruption?

  Legacy OSS/BSS modernization is best done incrementally, migrating to cloud-native, open architecture in phases rather than a single rip-and-replace. Adopting SDN, NFV and telco cloud principles decouple software from hardware, eliminates vendor lock-in and accelerates new-service rollout, while parallel-run and API-based integration keep existing services live throughout the network modernization program. 

• What is the ROI of network automation and autonomous operations?

  The return on network automation comes chiefly from operational expenditure reduction: lower fault-handling costs, fewer truck rolls and reduced manual effort, alongside deferred capital expenditure and fewer outages through self-healing networks. Predictive maintenance and AIOps compound these savings over time, improving both TCO and service quality as autonomous operations mature.

• Does AI reduce outages in telecom network operations?

  Yes. AI can improve network reliability by identifying anomalies and remediating them before customers are affected. Using AIOps, predictive analytics and closed-loop automation, service assurance systems reduce outages and mean time to repair (MTTR) at scale, a core reason AI in telecom has moved from experimentation to a foundation of autonomous, self-healing networks. 

• What are the key trends shaping today's telecom industry?

  The telecom industry is being reshaped by autonomous, AI-native networks; cloud-native and open architectures; network monetization through APIs and network slicing; and edge computing bringing processing closer to users. Underpinning all of it is a shift toward network automation and AIOps to manage rising complexity cost-effectively. 

• What comes after 5G — how should operators prepare for 6G?

  6G is expected to bring AI-native networks, integrated sensing and communication, and further convergence of connectivity with edge computing. Operators prepare by investing now in cloud-native modernization, network automation and autonomous operations, the foundations that carry forward, so today's 5G investment isn't stranded, and the network is ready to evolve toward 6G.