Trusted intelligence is crucial for operators in progressing to Level 4+
autonomous networks. This research explores the role of digital twins, agentic AI and operator knowledge in achieving trusted intelligence.
In this report, we update our model of the financial value of adding AI, analytics and automation (A3) into a telco’s processes. This report focuses on the impact A3 can have in the BSS, channels, marketing and sales, and has a particular focus on the impact of new GenAI capabilities in these areas.
We examined 20 organisations that have started to build a subscription marketplace across a wide range of industries. Our analysis identifies the critical success factors telcos need to capture this opportunity.
Operators are transforming their networks to provide advanced services and tackle network complexity. However, progress is uneven as operators develop various capabilities at different stages. We outline four common pathways and provide recommendations for operator peer groups.
The maturity of telco automations in the network OSS and BSS varies significantly. Some telcos are reporting significant headcount reductions from mature automations while others are still in the early stages of simple automation deployments. There are important steps telcos must consider if they are to reach maximum automation.
We examine four ecosystem business frameworks to see how they might look when applied to the emerging network API opportunity to assess whether these sorts of models can unlock commercialisation possibilities in uncertain markets.
Changing telcos’ systems from a legacy to a virtualised model is a bit like building an autonomous car from a moving steam locomotive. In this report, we look at the relationship between NFV (Network Functions Virtualization) and OSS (Operations Support Systems), and the difficulties that operators and the developer community are facing in migrating from legacy OSS to NFV-based methods for delivering and managing communications services.