SK Telecom: Aiming to be a global AI company through its AI pyramid strategy and genAI solutions
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Operator strategies continue to evolve in the digital era as the telecoms industry seeks to capture new growth opportunities in the consumer and enterprise markets. Assessing innovation and achievements is more important than ever before. GSMA Intelligence's operator case studies provide a concise and consistent way to shine a light on and analyse operators' strategies and business models, as well as how they are launching new services. In this edition, we examine SK Telecom’s AI pyramid strategy.
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Enterprises need to understand that where inferencing happens – whether at the user edge (device and enterprise/on-premises) or network edge (far edge, near edge and telco private cloud) – will have major implications for application performance, data sovereignty, resilience and energy efficiency. This analysis focuses on how running AI workloads on the enterprise edge (on-premises) can deliver improved outcomes.
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