GSMA, TM Forum team on telecom AI
Industry associations the GSMA and TM Forum agreed a collaboration to aid adoption of practical AI systems across a range of use cases within the telecoms industry.
In a joint statement, GSMA director of AI initiatives Louis Powell and TM Forum EVP products and services Andy Tiller explained the organisations would work together to help create open AI models and frameworks able to meet the industry’s very specific needs.
“Networks underpin the cloud, device and edge capabilities on which AI depends,” the two argued.
“Yet telcos themselves have not fully captured the value of AI within their own operations”.
“If the industry is to accelerate towards more autonomous, AI-native networks, it must align on shared assets, common standards and practical implementation pathways”.
The organisations address complementary areas towards the common goal. The GSMA is working on relevant models and agentic systems through the Open Telco AI initiative and TM Forum is focusing on frameworks and standards to align the industry and ensure interoperability.
They labelled the collaboration as being “about connecting the AI stack end-to-end, combining shared models, common frameworks and practical deployment pathways, with the trust required for critical network environments”.
Problem
Explaining the rationale for the closer ties between the organisations, Powell and Tiller argued adoption of AI is more complex in telecoms than other industries, but is a board-level priority in many organisations.
Among the difficulties cited is the multi-vendor nature of network architecture, with fragmented, siloed data and “very little tolerance for error”.
They also noted frontier AI models are not designed for operators and have not been trained on industry-specific data, leaving deployments limited to areas outside of the network layer such as customer experience.
Data published by GSMA Intelligence noted 16% of AI deployments target network use cases, despite networks accounting for 34% of opex.
The organisations believe the telecoms industry needs to “align to solve these challenges for itself, building AI approaches that reflect the complexity, economics and operational realities of the industry”.
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