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

Bachelor's

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-222230
record_format	dspace
spelling	sg-nus-scholar.10635-2222302022-05-13T03:13:50Z EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY YEO ANNIE BUILDING JONATHAN LIAN KHIN MING Building PFM Project and Facilities Management Jonathan Lian 2018/2019 PFM Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) 2018-12-21T02:27:33Z 2022-04-22T18:01:11Z 2019-09-26T14:14:04Z 2022-04-22T18:01:11Z 2018-12-21 Dissertation YEO ANNIE (2018-12-21). EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/222230 en https://lib.sde.nus.edu.sg/dspace/handle/sde/4377
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Building PFM Project and Facilities Management Jonathan Lian 2018/2019 PFM
spellingShingle	Building PFM Project and Facilities Management Jonathan Lian 2018/2019 PFM YEO ANNIE EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
description	Bachelor's
author2	BUILDING
author_facet	BUILDING YEO ANNIE
format	Dissertation
author	YEO ANNIE
author_sort	YEO ANNIE
title	EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
title_short	EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
title_full	EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
title_fullStr	EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
title_full_unstemmed	EVALUATING THE RECEPTIVENESS OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN SINGAPORE �S FACILITIES MANAGEMENT (FM) INDUSTRY
title_sort	evaluating the receptiveness of artificial intelligence (ai) technologies in singapore �s facilities management (fm) industry
publishDate	2018
url	https://scholarbank.nus.edu.sg/handle/10635/222230
_version_	1734309701190942720

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

Similar Items