KT publishes 'AX Insight Report': "60% of financial institutions and 30% of public sector entities have entered the AI execution phase"

*This content was translated by AI.

On the 14th, KT diagnosed that through its 'KT AX Insight Report' covering the financial and public sectors, 60% of financial institutional investors and 30% of public sector institutional investors have advanced to the AI execution stage, including concept validation (PoC), partial application in certain tasks, or enterprise-wide expansion. Additionally, for more effective progress in AI transformation (AX) within these two sectors, it was identified that the financial sector must secure return on investment (ROI) and reliability relative to investments, while the public sector faces key challenges in measuring budget and performance outcomes and linking data.

This report was developed based on a survey conducted last July targeting 400 individuals: 200 employees from domestic banks, securities firms, insurance companies, and credit card issuers, and 200 employees from central government ministries, local governments, and public sector institutional investors.

Survey results revealed differences in the challenges that need to be addressed across industries during the AX process.

In the financial sector, proving ROI from AI investments and ensuring reliability were identified as key challenges. KT proposed starting with tasks that yield quick results, such as repetitive document processing and customer service inquiries, before expanding the scope to include establishing an ROI measurement system, securing trust in AI, standardizing data, and building AI governance frameworks.

In the public sector, establishing systems for measuring budget and performance outcomes and linking data were highlighted as core challenges. It was analyzed that AI should be introduced gradually, beginning with low-risk tasks such as document creation and handling citizen complaints, while developing frameworks to connect performance results with budgets. The report also emphasized the need for data standardization, inter-institutional collaboration among institutional investors, and building governance based on explainable AI.

The report categorizes AX implementation stages into 'pre-review and interest,' 'PoC and partial operation,' and 'enterprise-wide expansion,' outlining key challenges and execution directions for each stage. It also presented response strategies to regulatory changes such as easing network separation restrictions and revising AI guidelines.

KT plans to establish itself as an 'end-to-end (E2E) AX partner' that supports customers from formulating their AX strategy through implementation, operation, and advanced optimization, leveraging its capabilities in AI services, platforms, and infrastructure.

Jang Dae-sung of KT Enterprise's Enterprise Jeon Ryak-bon-bu (SVP) division stated, "We hope this report will assist B2B and B2G customers in successfully advancing their AX initiatives."

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*This content was translated by AI.