KT Releases 'AX Insight Report' on Financial Sector, Public Sector AI Transformation
IT DAILY ·
✦ AI Summary
KT has released the 'KT AX Insight Report,' which examines the level of AI transformation (AX) and the challenges facing the financial and public sectors.
The report consists of two editions, one for finance and one for the public sector, and a survey was conducted in July among 400 employees in the financial and public sectors.
The survey found that 59.5% of financial institutions and 30% of public institutions had entered the AX execution stage.
KT has released the 'KT AX Insight Report,' which examines the level of AI transformation (AX) and the challenges facing the financial and public sectors. As of the 14th, the date of publication, KT made the report public, and it includes an analysis of the current state of AX in the financial and public sectors as well as an analysis of key challenges in both fields. The report consists of two editions, one for finance and one for the public sector.
KT conducted a survey in July. The respondents were 200 employees at domestic banks, securities firms, insurers and card companies, and 200 employees at central government ministries, local governments and public institutions, for a total of 400 respondents.
The survey found that 59.5% of financial institutions had entered the AX execution stage. The figure was 30% for public institutions. The AX execution stage covers PoC for AI adoption, application to some work tasks, and organization-wide rollout.
The report covers the current status of AX initiatives in the financial and public sectors, key tasks, response strategies for eased network-separation regulations, response strategies for revised AI guidelines, and ways to expand AX. The photo caption said a KT model was introducing the 'KT AX Insight Report.'
According to KT's survey results, 59.5% of financial institutions and 30% of public institutions had entered the AX execution stage related to AI adoption. The AX execution stage is categorized as PoC, partial operational application, and organization-wide rollout.
In line with this, the AX report presented key tasks by stage, reflecting the characteristics of each industry. For the financial sector, it identified proving ROI for AI investment outcomes and securing reliability as key tasks, while for the public sector it pointed to budget systems, performance measurement systems, and data integration. It also divided the stages into pre-review and interest, PoC and partial operation, and organization-wide expansion, and presented AX execution directions for each stage.
The report also includes real-world examples that financial and public institutions can refer to in the process of advancing AX. Financial-sector examples include an AI contact center (AICC), a generative AI platform, and AI search tailored to finance, while public-sector examples include the introduction of subscription-based AI counselors and the establishment of a next-generation security system.
Through the report, KT set out its goal of establishing itself as an 'E2E(End to End) AX partner,' and said it intends to support the entire process, from helping customers formulate AX strategies to building, operating and advancing them, based on the AI services, platforms and infrastructure it has. The KT AX Insight Report containing these details can be downloaded from the KT Enterprise website.
Source: IT DAILY · Seong Won-young
Original: https://www.itdaily.kr/news/articleView.html?idxno=241573
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Source: IT DAILY
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