Artificial intelligent (AI) in construction industry: the talent gap / Dr Sheikh Ali Azzran Sh Said

Sh Said, Sheikh Ali Azzran (2023) Artificial intelligent (AI) in construction industry: the talent gap / Dr Sheikh Ali Azzran Sh Said. RISE: Catalysing Global Research Excellence (3): 12. pp. 1-5. ISSN 2805-5883

Abstract

The prevalence of discussions surrounding Artificial Intelligence (AI) has rapidly spread through global news, especially with the introduction of ChatGPT. With the current state of technology, AI breakthroughs are inevitably being integrated into various economic sectors, including construction. However, due to the industrial challenges in the background of the construction industry, it is rare to find a supply of niche talent with the required experience to address and champion the opportunities presented by the
AI agenda. To bridge this gap, the government needs to take a significant step in spurring investment to embed digital transformation education, thereby producing the adequate talent required for the industry. This integration demands a combination of knowledge and industrial experience in an interdisciplinary field encompassing both construction and IT-related expertise. Consequently, the collaboration of ideas between researchers and industry experts from both fields will pave the way for breakthroughs in advancing the construction industry.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Sh Said, Sheikh Ali Azzran
UNSPECIFIED
Subjects: H Social Sciences > HD Industries. Land use. Labor > Construction industry
Q Science > Q Science (General) > Back propagation (Artificial intelligence)
Divisions: Universiti Teknologi MARA, Shah Alam > Vice Chancellor Office > Pejabat Timbalan Naib Canselor (Penyelidikan & Inovasi)
Journal or Publication Title: RISE: Catalysing Global Research Excellence
ISSN: 2805-5883
Number: 3
Page Range: pp. 1-5
Keywords: AI business, construction, long-term career growth
Date: November 2023
URI: https://ir.uitm.edu.my/id/eprint/87479
Edit Item
Edit Item

Download

[thumbnail of 87479.pdf] Text
87479.pdf

Download (5MB)

ID Number

87479

Indexing

Statistic

Statistic details