Open models, global networks: How AT&T and GSMA are accelerating innovation with Gemma
Telecommunications is an incredibly complex, highly specialized domain. Modern mobile networks are inherently multi-vendor, featuring diverse and often proprietary data structures. While AI has made massive leaps in general language and coding, telecom domain knowledge is rarely accessible on the open internet — there is simply no "Wikipedia" for telecoms.
This data scarcity creates a major hurdle for AI models trying to deeply understand network operations. When operating at an immense global scale that connects billions of people hundreds of billions of times a day, the industry requires absolute precision. Yet, according to GSMA Intelligence, only 16% of total AI deployments in telecoms are on the network, largely due to the difficulty of training models on specialized domain knowledge.
While general-purpose AI models have come a long way, the scale, complexity, and specificity faced by telecom providers means domain-specific models remain the best way to achieve the dramatic network...
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