AI is coming strong for the MWC 25. Korean operator SK Telecom said it will showcase several artificial intelligence (AI) technologies at the event.
The company will display demos focused on the industry. These include its core area of enhancing telecommunications services and infrastructure with its AI data center (AIDC) solutions.
SK Telecom also plans to share the AI governance principles it has introduced to ensure the reliability and safety of artificial intelligence within the global telecommunications industry.
According to the carrier, the exhibition includes technologies for sourcing power needed for AIDC operations from distributed power sources and optimally controlling it using AI models. It also features various liquid cooling methods to reduce data center heat generation and technology that enhances safety by insulating energy storage systems (ESS) with liquid.
The company is also presenting its routing technology that enables inference performance by equipping clouds with large language models (LLM) and devices with small language models (SLM), as well as the orchestration solution, which optimally controls complexly connected mobile communication facilities.
“We are committed to showcasing SK Telecom’s wide-ranging technological capabilities, designed to swiftly understand and adapt to the evolving artificial intelligence industry,” said Ryu Young-sang, CEO of SK Telecom.
“By harnessing our in-house technology and fostering global partnerships, we aim to demonstrate substantial achievements to our global audience,” he added.
AI Agent and Assistant for Telcos
AI assistance has been one of the main use cases for end-users, but the trend is coming to the telecommunications sector too.
The Korean operator will introduce AI services like the “Telco AI Agent.” It integrates a telecommunications-specific LLM to handle a variety of customer requests, such as providing information on mobile plans and making changes to them.
SK Telecom is also unveiling its “Infrastructure Assistant,” which uses LLM and RetrievalAugmented Generation (RAG) technology to convert internal operational knowledge into a database and provide operators with necessary information via a chatbot.
