Summary
Artificial intelligence deployment across telecommunications is accelerating as operators translate AI infrastructure investment into tangible enterprise use cases. Leading telcos across South Korea, Japan, and Europe are applying generative AI, large language models, and edge computing to reshape network operations, customer engagement, and enterprise service delivery.
SK Telecom is moving into GPU-as-a-service offerings at its AI data center, partnering with global cloud infrastructure providers to give enterprises flexible access to high-performance computing for AI training and deployment. Orange Business, meanwhile, has rolled out a multi-LLM generative AI platform designed to bring secure, enterprise-grade AI tools to businesses and local authorities across European markets.
On the customer experience front, Rakuten Mobile is using conversational AI to extend round-the-clock support beyond registered subscribers, while LG Uplus has built an on-device AI call agent that performs real-time phishing detection without relying on centralized data storage. SK Telecom's parallel investment in a knowledge-search assistant built on retrieval-augmented generation for its contact centers shows how telco-specific language models are being tuned for operational use.
Together these cases illustrate the infrastructure, security, and customer-facing dimensions telcos are weighing as they move AI from pilot projects toward core operations.
What separates isolated AI pilots from telcos that turn artificial intelligence into lasting competitive advantage?
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