
Not all telcos need to build their own AI factories
Recently, several telcos made the news with AI factory initiatives. We outline the reasons and the approaches to these investments.
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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.
Recently, several telcos made the news with AI factory initiatives. We outline the reasons and the approaches to these investments.
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.
Most large-scale deployments of virtualised RAN (vRAN) at Tier 1 telcos are currently based on single-vendor architecture. But operators are deploying vRAN in innovative ways that aim to preserve many open RAN benefits. This report looks at the current status of vRAN and open RAN deployments as well as the increasing awareness of the importance of deploying cloud-native RAN across multiple containers-as-a-service (CaaS) layers.