KAI Expands Support for Partners' AI Transformation, Adds Tailored Training Next Year
Special lecture on AX and DX held for representatives of 42 partner companies
Practical training for partner companies to begin next month
Korea Aerospace Industries (KAI) is expanding tailored training to help its partner companies adopt artificial intelligence (AI). The plan aims to boost productivity at small and medium-sized partner companies and strengthen the competitiveness of the aerospace industry as a whole.
KAI-hosted special lecture on AX and DX for CEOs of small but strong aerospace companies. KAI
View original imageKAI said on October 29 that it had held a special lecture on AI transformation (AX) and digital transformation (DX) for CEOs of promising aerospace SMEs on October 28, together with Yonam Institute of Technology and the Korea Testing Laboratory.
The event was organized to build partner companies' capabilities in using AI and share practical ways to apply it on the manufacturing floor. Around 60 people attended the lecture at the Mirae Hall of Yonam Institute of Technology, including Yang Hongseok, executive director of KAI's Win-Win Cooperation Office; Yonam Institute of Technology President Ahn Seungkwon; Lee Euijong, a center director at the Korea Testing Laboratory; and representatives from 42 partner companies.
The lecture covered changes in the corporate management environment driven by advances in AI technology, as well as examples of its application on manufacturing floors. President Ahn gave a lecture titled "How Should Companies Evolve in the AI Era?" while Kim Beomjun, head of Yonam Institute of Technology's AI and DX Center, explained examples of AI adoption at companies and strategies for using the technology.
Starting with this lecture for CEOs, KAI plans to gradually expand AI training for employees of partner companies. Beginning next month, it will provide AI training for partner companies' staff, and from 2027, it will offer regular, tailored practical AI courses focused on aerospace parts manufacturing.
Through these efforts, KAI aims to address labor shortages and productivity challenges at small and medium-sized partner companies, while supporting greater work efficiency and improved profitability.
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Yang Hongseok, an executive director at KAI, said, "Many partner companies recognize the need to adopt AI, but are having difficulty applying it in practice. Through ongoing training and support for building practical AI manufacturing infrastructure, we will strengthen our partners' competitiveness and foster a sustainable ecosystem of mutual growth."
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