Education and Training

We will train professionals who can promote industrial digital transformation and lead digital innovations. We will provide training and educational programs targeting civil manufacturing companies to benchmark global leading companies

Environmental
Analysis

01

ICT companies in the United States are experiencing explosive growth based on global platforms, and manufacturing companies in the EU and Japan are also utilizing big data to optimize supply value chains and create innovative services in the manufacturing sector

02

Korea is utilizing big data and AI technology to some extent, primarily in the financial telecommunications and large enterprise sectors. However, in the manufacturing industry, its implementation is inadequate, and this is primarily due to factors such as the small scale of companies, a lack of specialized workforce, and insufficient data availability

03

The majority of small and medium-sized companies are lacking capabilities such as technology, workforce, and funding to utilize new digital technologies. Also, there is not enough interests in data and AI for them because of uncertain expectation of benefits and concerns over costs

04

It is expected that the shortage of big data and AI professionals who can lead the digital transformation across the entire industrial value chain will be a big issue due to the lack of capabilities and interest among companies

Promoting
Business

  • Big Data·AI-related education program for high schools and universities
    (Once a year)
  • Global leading company training program for small and medium-sized companies (Twice a year)
  • Education and training program for high and middle school students (Once a year)
  • Expanding the Big Data·AI-related eeducation program for high schools and universities to twice a year
  • Expanding the research program for small and medium-sized companies to collaborate with global leading companies
  • Expanding the education and training program for students in collaboration with global leading companies to twice a year
  • Planning a Big Data·AI development and utilization competition for university students and graduate students