4.6 Article

Challenges of Data Refining Process during the Artificial Intelligence Development Projects in the Architecture, Engineering and Construction Industry

Journal

APPLIED SCIENCES-BASEL
Volume 11, Issue 22, Pages -

Publisher

MDPI
DOI: 10.3390/app112210919

Keywords

digital light industry; fourth Industrial Revolution; artificial intelligence; human resource development; work index; architecture; engineering and construction industry

Funding

  1. National Research Foundation of Korea (NRF) - Korea government Ministry of Education [NRF-2019R1A6A301091459, NRF-2020R1C1C1005406]

Ask authors/readers for more resources

The paper discusses the need for a large number of human resources in the development process of artificial intelligence, as well as methods to enhance efficiency through labor division. The research team emphasizes the importance of digital light industry, which maximizes production efficiency by combining data processing with computer technology.
The paper examines that many human resources are needed on the research and development (R & D) process of artificial intelligence (AI) and discusses factors to consider on the current method of development. Labor division of a few managers and numerous ordinary workers as a form of light industry appears to be a plausible method of enhancing the efficiency of AI R & D projects. Thus, the research team regards the development process of AI, which maximizes production efficiency by handling digital resources named 'data' with mechanical equipment called 'computers', as the digital light industry of the fourth industrial era. As experienced during the previous Industrial Revolution, if human resources are efficiently distributed and utilized, no less progress than that observed in the second Industrial Revolution can be expected in the digital light industry, and human resource development for this is considered urgent. Based on current AI R & D projects, this study conducted a detailed analysis of necessary tasks for each AI learning step and investigated the urgency of R & D human resource training. If human resources are educated and trained, this could lead to specialized development, and new value creation in the AI era can be expected.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available