KT宣传其金融行业AI转型业务扩展

KT is expanding its finance-focused AI transformation (AX) business that combines data with artificial intelligence (AI).
According to KT on the 26th, the strategy was developed amid the trend of generative AI evolving into agentic AI that performs actual tasks. Aligned with a phase in which the financial sector's use of AI is gaining momentum following the implementation of the AI Framework Act and the improvement of network separation regulations, KT plans to support all stages, from AX planning to development, operation, and advancement.
Based on its five-stage execution framework, the "5-Layer AX Full Stack," KT plans to jointly establish AX strategies with financial firms and support work redesign using AI and data, as well as operational and performance improvements. In particular, KT plans to apply a so-called FDE (Forward Deployed Engineer) approach, in which KT's AI specialists work directly at client sites, to provide the high level of stability and scalability required by the financial sector.
KT is currently expanding its AX presence across the financial sector, including banking, insurance, and cards. The company said it won 22 AX projects in the financial sector in the first half of this year alone, and that four of the five major banks are KT clients.
In the banking sector, KT has built agentic AI contact centers (AICC), such as AI chatbots and counseling bots, along with company-wide integrated AI platforms and AI agents. In the insurance sector, KT supported the introduction of a sales assistant. Its distinguishing feature is that it standardizes counseling and training tasks by analyzing both the sales know-how of top agents and complex insurance policy terms. In the card sector, KT has established an AI integrated data platform and an AI operating system.
In its future expansion of financial-sector AX, KT is placing emphasis on data utilization rather than AI models. The company plans to drive its business around the "Data4AI" service, which converts corporate data into a form usable by AI. In addition, KT plans to use "K-Ontology," a knowledge model that connects products, customers, and work processes, to transform data into a structure that AI can understand, and to secure the stability and reliability required by the financial sector by establishing data governance and security and regulatory compliance systems.
"We will create an AX foundation that allows financial firms to continuously utilize the data and knowledge assets they hold, and ultimately raise the financial sector's work performance and productivity," KT said.