Use of Artificial Intelligence to Improve Knowledge Management in Construction

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Abstract

Considerable progress has been made in the development and deployment of knowledge management (KM) systems in the construction industry. These have included a variety of technology and non-technology-based solutions that have had varying levels of impact on organizational knowledge management. Very few of the technology-based solutions adopted any artificial intelligence (AI) techniques. The current resurgence of AI and data analytics presents a tremendous opportunity to re-engineer knowledge management systems such that they are a much more powerful and critical component of an organization's business infrastructure. This paper starts with a review of the evolution of knowledge management in construction sector organizations, and highlights the potential for AI-based KM. It also discusses the resurgence of AI and data analytics, and highlights the key technologies that could play a role in enhancing construction KM. Drawing on specific KM sub-processes, it describes the applicability of some AI techniques to organizational KM processes and systems. The benefits of the proposed AI-based KM are also presented.

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APA

Anumba, C., & Khallaf, R. (2022). Use of Artificial Intelligence to Improve Knowledge Management in Construction. In IOP Conference Series: Earth and Environmental Science (Vol. 1101). Institute of Physics. https://doi.org/10.1088/1755-1315/1101/3/032004

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