SK Telecom Plans to Establish South Korea as AI Hub in Asia-Pacific

SK Telecom, under the visionary leadership of CEO Ryu Young-sang, is gearing up to transform South Korea into the leading AI data center hub in the Asia-Pacific region. Introducing the ambitious “AI infrastructure superhighway” concept, the company aims to unify AI data centers, graphic processing units as a service (GPUaaS), and edge AI. This comprehensive plan includes building a hyperscale AI data center in South Korea, with an initial capacity exceeding 100 megawatts and an eventual target set at gigawatt levels. As part of this initiative, a testbed facility equipped with Nvidia’s newest chips will be established in Pangyo. Additionally, SK Telecom is planning to convert its existing data center in western Seoul into an AI-optimized center that will provide GPUaaS in conjunction with Lambda.

Expanding AI Capabilities and Market Impact

Further backing its vision, SK Telecom has committed to investing 100 billion won, approximately $72.9 million, for the development of AI solutions tailored specifically for the Korean market. The integration of AI and telecommunications is at the forefront of this effort, with a particular focus on advancing edge AI technology that will be pivotal for the evolution of sixth-generation networks. This comprehensive strategy is designed not just to enhance South Korea’s status in the field of AI but to launch it into the top three AI leaders globally. By investing in and developing a robust AI infrastructure, SK Telecom is not only aiming for a technological leap but also making significant strides toward establishing a comprehensive AI ecosystem. The company’s dedication to these advancements is a testament to its commitment to a future where South Korea stands as a global beacon of AI innovation.

Explore more

Trend Analysis: Agentic AI in Data Engineering

The modern enterprise is drowning in a deluge of data yet simultaneously thirsting for actionable insights, a paradox born from the persistent bottleneck of manual and time-consuming data preparation. As organizations accumulate vast digital reserves, the human-led processes required to clean, structure, and ready this data for analysis have become a significant drag on innovation. Into this challenging landscape emerges

Why Does AI Unite Marketing and Data Engineering?

The organizational chart of a modern company often tells a story of separation, with clear lines dividing functions and responsibilities, but the customer’s journey tells a story of seamless unity, demanding a single, coherent conversation with the brand. For years, the gap between the teams that manage customer data and the teams that manage customer engagement has widened, creating friction

Trend Analysis: Intelligent Data Architecture

The paradox at the heart of modern healthcare is that while artificial intelligence can predict patient mortality with stunning accuracy, its life-saving potential is often neutralized by the very systems designed to manage patient data. While AI has already proven its ability to save lives and streamline clinical workflows, its progress is critically stalled. The true revolution in healthcare is

Can AI Fix a Broken Customer Experience by 2026?

The promise of an AI-driven revolution in customer service has echoed through boardrooms for years, yet the average consumer’s experience often remains a frustrating maze of automated dead ends and unresolved issues. We find ourselves in 2026 at a critical inflection point, where the immense hype surrounding artificial intelligence collides with the stubborn realities of tight budgets, deep-seated operational flaws,

Trend Analysis: AI-Driven Customer Experience

The once-distant promise of artificial intelligence creating truly seamless and intuitive customer interactions has now become the established benchmark for business success. From an experimental technology to a strategic imperative, Artificial Intelligence is fundamentally reshaping the customer experience (CX) landscape. As businesses move beyond the initial phase of basic automation, the focus is shifting decisively toward leveraging AI to build