Abstract:
Artificial intelligence technology, also known as AI, is a 21st-century great innovation and vastly solves many contemporary industry issues. For instance, in the medical industry, using Artificial intelligence to detect lung cancers and in the construction industry, AI can improve productivity and health safety by measuring structure application to build in Building information modelling.
The construction industry's productivity has not improved in the past three decades with overbudgeting, human errors, and fatally issues. The construction industry issues come across a wide range of hot topics such as health & safety, productivity, and economic-financial impacts, all related to the industry market's future growth and national GDP raises.
The digital solutions to information sharing platforms, assets management and field management can be seen as very popular in modern industries. Some needs and gaps exist in the construction industry that desperately needs to be addressed.
This thesis focuses on how a leading digital solution such as deep learning technology can apply to large objective measurements in the construction industry, which set a new benchmark for building structure measuring. In addition, the thesis also discusses the deep learning technology can impact the social economy in respect to utilising the unemployed population to present their surplus value in the construction community and resolve supply chain issues.
However, AI technology also concerns the social-economic system as a potential risk in replacing human operators in many working areas. The research has a detailed discussion on this topic.
In addition, the adoption of deep learning technology will positively impact the supply chain in the Covid situation and bring hopes for post-pandemic supply chain recovery.
Lastly, the thesis presents the future view of artificial intelligence technology and its limitation to prove that it is friendly to secure human beings’ future.