AIS – Autonomous networks case study
Welcome to this series analysing network autonomy efforts by leading telcos worldwide. In this third edition, we put the spotlight on a leading multinational operator in the journey toward autonomous networks.
Welcome to this series analysing network autonomy efforts by leading telcos worldwide. In this third edition, we put the spotlight on a leading multinational operator in the journey toward autonomous networks.
The industry has accepted the destination that is AI-driven autonomous networks. The challenge now is to build systems that operators can trust to make decisions across real networks. And to make every step create actual business benefits.
Insights from our Future skills tracker tool show that telcos remain behind technology companies (techcos) in the penetration of the key role types that would enable them to compete and add value like technology companies. The tracker provides direction on where telcos should learn from techcos and build capabilities to increase operational efficiency and enable new revenue streams going forward.
Welcome to this series analysing innovative B2B offerings by leading telcos worldwide. In this second edition, we turn our focus to a successful NaaS player in India.
Welcome to this series analysing network autonomy efforts by leading telcos worldwide. In this second edition, we put the spotlight on a leading multinational operator in the journey toward autonomous networks.
This research examines current and future requirements for AI and ML in service assurance as telcos move towards self-healing networks supported by agentic AI.
This report explores how a more adaptive, cross-domain AI approach, leveraging the latest AI techniques such as time series foundation models, can move operators forward in their network autonomy journey and unlock significant financial value.
Modern telecom networks drive competitiveness, but organisational factors can thwart progress. We identify five startup practices telcos should adopt to enable true techco transformation.
Welcome to this series analysing network autonomy efforts by leading telcos worldwide. In this first edition, we put the spotlight on a successful operator journey coming from China.
As CSPs transition into the Coordination Age, they face critical challenges in adopting cloud-native architectures and transforming operational models to meet the demands of enhanced connectivity and resource optimisation. This report provides practical strategies to navigate these challenges, with a focus on simplifying RAN transformation, enabling agility and unlocking new opportunities for innovation and growth.
Mobile operators have used intelligence in their networks and OSS for a while. What has changed recently is how new techniques (e.g., generative AI and/or agentic AI) can be applied, often on top of traditional methods, to accelerate the use of AI in the network domain and move telcos along their journey to higher levels of network autonomy. This forecast estimates the value for vendors of selling AI-enabled solutions to mobile operators to support their network and OSS processes.
Telcos need new skill sets to enable their organisations to compete and add value like technology companies. Insights from our Future skills tracker tool show that telcos remain behind techcos in the penetration of key role types and provide direction on the expert capabilities required to become more innovative, agile and technology-driven overall.

This report assesses the impacts of delays in data centre construction on operational financial metrics, budget and internal rate of return, and examines the role of effective reporting in ensuring on-time delivery.
The range of optional additional features in 5G has expanded massively since previous generations. This report covers the technology, use cases and timelines for six of the less-discussed domains of 5G evolution – RedCap, sidelink, URLLC and time-sensitive networking, drone connectivity, precise positioning and real-time communication.
The development of agents underpinned by data and knowledge assets looks set to be a major challenge for telcos. It may take up to ten years for telcos to truly master agents, but they will be key to the realisation of fully autonomous networks.
As the deployment of AI/ML ramps up, telcos need to develop an ‘intelligence architecture’, supporting the move towards Level 4 and 5 in the TM Forum’s Autonomous Network Framework. How will such an intelligent architecture support the self-healing network?
Telcos are pursuing a telecom techco vision to renew business models. This report explores how network cloud, automation and AI accelerate this transformation, with insights on scaling these technologies, impactful AI/automation use cases and the advantages of open source.