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.

In the spotlight: AIS

AIS, Thailand’s leading telecommunications network operator, has adopted an incremental, focused approach to autonomous networks (ANs) in pursuit of an ambitious strategic goal: that of evolving from a telco into what it calls a ‘cognitive tech-co’. Focusing initially on RAN fault management (FM) and customer complaint handling, AIS has partnered with Huawei to deliver high levels of autonomy in these domains.

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Operating in a low-ARPU market, AIS lacks the resources larger operator groups devote to ANs. So, it has relied heavily on Huawei — as 75% of its mobile network runs on Huawei platforms.That dependency raises the question of whether AIS can reap the full benefits of ANs, and whether it can develop vendor-neutral technology along with in-house software and AI skills.

AIS: AN level timeline

Source: STL Partners

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Belinda Martin

Belinda Martin

Senior analyst and Telco cloud lead

Belinda Martin has specialised in telco cloud at STL Partners since 2016, writing numerous strategic reports on different aspects of the topic. She also originated STL’s Telco Cloud Deployment Tracker: a major database of commercial telco cloud deployments by leading operators worldwide. She is a telecoms analyst of around 25 years’ experience, having also worked for leading analyst firms including the now Analysys Mason and Omdia. Belinda obtained a First Class degree in French and German at Trinity Hall, Cambridge, where she also pursued doctoral studies in French.