EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY

EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY

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Bibliographic Details
Main Author:	YEO ANNIE
Other Authors:	BUILDING
Format:	Dissertation
Language:	English
Published:	2018
Subjects:	Building PFM Project and Facilities Management Jonathan Lian 2018/2019 PFM
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/222230
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Institution:	National University of Singapore
Language:	English

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