Digital Asset Management: New Opportunities from High Dimensional Data—A New Zealand Perspective

Marianne Cherrington, Zhongyu (Joan) Lu, Qiang Xu, Fadi Thabtah, David Airehrour, Samaneh Madanian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As a testing ground for technology, the New Zealand microcosm is a stand out. In an age where many industries are vulnerable to disruptive innovation, a sustainable, integrated and entrepreneurial vision of digitally enabled asset management is vital. New Zealand is like a bridge between maturing Western economies and emerging Asian markets; with environmental values, a culture of sustainability and kaitiakitanga (stewardship), innovations that thrive in the diverse New Zealand paradigm are worth emulating. In our connected world, 5G and the internet of things are poised to explode the volume, velocity and variety of data. Survival may depend on an organisation’s ability to action knowledge from noisy, high dimensional data using machine learning. This is not as easy as it sounds; many challenges and barriers exist. This research proposes that by studying the emerging digital asset management trends in an educated and tech-savvy nation such as New Zealand, a clearer vision of how to allocate scarce resources can result. New value and exhilaration within organisations can be created so as to realise a myriad of sustainable opportunities.

Original languageEnglish
Title of host publicationAdvances in Asset Management and Condition Monitoring, COMADEM 2019
EditorsAndrew Ball, Len Gelman, B.K.N. Rao
PublisherSpringer, Cham
Pages183-193
Number of pages11
Volume166
ISBN (Electronic)3783030577452
ISBN (Print)9783030577445
DOIs
Publication statusPublished - 28 Aug 2020
Event32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference - University of Huddersfield, Huddersfield, United Kingdom
Duration: 3 Sep 20195 Sep 2019
Conference number: 32
http://www.comadem2019.com/ (Link to Conference Website)

Publication series

NameSmart Innovation, Systems and Technologies
PublisherSpringer
Volume166
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference
Abbreviated titleCOMADEM 2019
CountryUnited Kingdom
CityHuddersfield
Period3/09/195/09/19
Internet address

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