Skip to main content
SpringerLink
Log in

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

  • Conference paper
  • First Online:
Advances in Asset Management and Condition Monitoring

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 166))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kiwis as Guinea Pigs. The Economist, 23 May 2015. www.economist.com/news/business/21651858-small-technophile-country-great-place-test-digital-products-kiwis-guinea-pigs

  2. Ericksen, N., Berke, P., Dixon, J.: Plan-Making for Sustainability: The New Zealand Experience. Routledge, London (2017)

    Book  Google Scholar 

  3. The Year of the Incumbent. The Economist, 6 January 2016. www.economist.com/business/2018/01/03/2018-will-be-the-year-that-big-incumbent-companies-take-on-big-tech

  4. Bughin, J., Manyika, J.: Measuring the Full Impact of Digital Capital. McKinsey & Company, Chicago (2018)

    Google Scholar 

  5. Kell, G.: The remarkable rise of ESG. Forbes, 47, 11 July 2018

    Google Scholar 

  6. A Digital Brain that Autonomously Animates AI Homepage. https://www.soulmachines.com/. Accessed 9 May 2019

  7. Strang, E.: Soul machines unveils its first emotionally intelligent, lifelike avatar. Idealog (2017). https://www.soulmachines.com/blog/2017/2/18/idealogconz-soul-machines-uneils-its-first-emotionally-intelligent-life-like-avatar. Accessed 15 May 2019

  8. Rowell, A.: Brain Power: Adding the Soul to Machines. M2 Magazine, 1 March 2019

    Google Scholar 

  9. Air New Zealand (2018). Sustainability Report 2018. Retrieved from Air New Zealand website. https://p-airnz.com/cms/assets/PDFs/2018-Sustainability-Report.pdf

  10. PRESS: World’s first digital teacher starts work teaching kids about energy, 18 September 2018. https://www.soulmachines.com/news/2018/09/18/press-worlds-first-digital-teacher-starts-work-teaching-kids-about-energy/

  11. Butler, R.: Virtual Health: Rapid review of evidence and implications (2018)

    Google Scholar 

  12. EHealth News Features. iMOKO tackling issue of inequitable access to healthcare. Health Informatics New Zealand, Albany, Auckland, 18 February 2019

    Google Scholar 

  13. AIA, Sovereign and You: Championing a healthier, better protected NZ, 20 May 2019. https://www.aia.co.nz/en/campaign/championing-a-healthier-more-protected-nz.html

  14. Virtual Flight Lab. 8 Mat 2019. https://www.waxeye.co.nz/work/airnz-virtual-flight-lab

  15. Technology Investment Network. TIN 100 report (2011). http://www.tinet-work.co.nz/TIN100+Report.html

  16. Smith, C.: NZ Gaming Studio Industry Booming. The New Zealand Herald, Auckland (2018)

    Google Scholar 

  17. News. Weta Workshop, 30 April 2019. https://www.wetaworkshop.com/news/latest/

  18. Mack, B.: Intela’s Asa Cox on Farrago and “unsexy” (but still very cool) AI. Idealog, 30 January 2018. https://idealog.co.nz/tech/2018/01/idealog-podcast-intelas-asa-cox-farrago-and-unsexy-ai. Accessed 15 May 2019

  19. Kasabov, N., Scott, N., Tu, E., Marks, S., Sengupta, N., Capecci, E., Othman, M., Doborjeh, M.G., Murli, N., Hartono, R., Espinosa-Ramos, J.I.: Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: design methodology and selected applications. Neural Netw. 78, 1–14 (2016)

    Article  Google Scholar 

  20. New Zealand’s Environmental Reporting Series: Environment Aotearoa 2019 (ME 1416). Retrieved from Ministry for the Environment & Stats NZ website (2019). www.mfe.govt.nz/publications/environmental-reporting/environment-aotearoa-2019

  21. Manning, M., Lawrence, J., King, D.N., Chapman, R.: Dealing with changing risks: a New Zealand perspective on climate change adaptation. Reg. Environ. Change 15(4), 581–594 (2015)

    Article  Google Scholar 

  22. High Performance Computing Facility, 23 November 2018. https://www.niwa.co.nz/our-services/high-performance-computing-facility

  23. Guo, H.D., Zhang, L., Zhu, L.W.: Earth observation big data for climate change research. Adv. Clim. Change Res. 6(2), 108–117 (2015)

    Article  Google Scholar 

  24. Fry, G., Tarte, S. (eds.): The New Pacific Diplomacy. Anu Press, Canberra (2015)

    Google Scholar 

  25. Saunders, C., Guenther, M., Dalziel, P.: The Contribution of Antarctic-Related Activities to the Canterbury and New Zealand economy. Agribusiness and Economics Research Unit, Lincoln University, Lincoln (2016)

    Google Scholar 

  26. Gillies, T.T.: Digital conservation in Antarctica (2018)

    Google Scholar 

  27. Strang, E.: Meet the young entrepreneur at the helm of Halter, the NZ agritech company backed by Peter Beck, Data Collective and Peter Thiel. Idealog, 22 June 2018

    Google Scholar 

  28. Big data is revolutionising NZ, 1 April 2018. https://www.newsroom.co.nz/2018/04/01/100376/big-data-is-revolutionising-nz

  29. Cherrington, M., Thabtah, F., Lu, J., Xu, Q.: Feature selection: filter methods performance challenges. In: 2019 International Conference on Computer and Information Sciences (ICCIS), pp. 1–4. IEEE, April 2019

    Google Scholar 

  30. Abraham, E.R., Richard, Y., Berkenbusch, K., Thompson, F.: Summary of the capture of seabirds, marine mammals, and turtles in New Zealand commercial fisheries, 2003 to 2012–13. New Zealand Aquatic Environment and Biodiversity Report No. 169 (2016)

    Google Scholar 

  31. Projects, 15 April 2019. https://www.genomics-aotearoa.org.nz/projects#on-this-page–1

  32. Genomics Aotearoa, 3 April 2019. https://www.mbie.govt.nz/science-and-technology/science-and-innovation/funding-information-and-opportunities/investment-funds/strategic-science-investment-fund/funded-infrastructure/genomics-aotearoa/

  33. Genetic testing to drive prescribing, 5 May 2019. https://www.hinz.org.nz/news/449084/Genetic-testing-to-drive-prescribing.htm

  34. AI Day: Building trustworthy AI for the future, 2 May 2019. https://orionhealth.com/nz/knowledge-hub/blogs/ai-day-2019-building-trustworthy-ai-for-the-future/

  35. Hempleman, L.: NZ Produces the World’s First A.I. Medical Diagnosis Platform. Medtech Centre of Medical Excellence (2018). https://www.cmdt.org.nz/news-item/nz-produces-the-worlds-first-ai-medical-diagnosis-platform

  36. Thinking Ahead: Innovation through Artificial Intelligence (2018). Callaghan Innovation: https://www.callaghaninnovation.govt.nz/sites/all/files/ai-whitepaper.pdf

  37. Hudson, M., Beaton, A., Milne, M., Port, W., Russell, K.J., Smith, B., Uerata, L.: Te Mata Ira: guidelines for genomic research with Māori. Te Mata Hautū Taketake-Māori & Indigenous Governance Centre, University of Waikato (2016)

    Google Scholar 

  38. Kennedy, M.A.: A genome project for Māori and Pasifika: charting a path to equity in genomic medicine for Aotearoa. The New Zealand Medical Journal (Online), 131(1480) (2018)

    Google Scholar 

  39. Beaton, A., Smith, B., Toki, V., Southey, K., Hudson, M.: Engaging Maori in biobanking and genetic research: legal, ethical, and policy challenges. Int. Indig. Policy J. 6(3), 1 (2015)

    Google Scholar 

  40. Rameka, L.: Whakapapa: A Māori Way of Knowing and Being in the World. In: Encyclopedia of Educational Philosophy and Theory, pp. 1–6 (2016)

    Google Scholar 

  41. McCarthy, C.: Museums and Māori: Heritage Professionals, Indigenous Collections, Current Practice. Routledge, London (2016)

    Google Scholar 

  42. Knox, J., Ross, J.: ‘Where does this work belong? ‘New digital approaches to evaluating engagement with art. Museums and the Web (2016)

    Google Scholar 

  43. How Dexibit is revolutionising museums and galleries using big data solutions, 11 December 2018. https://thespinoff.co.nz/podcast/business-is-boring-callaghan/07-06-2018/how-dexibet-is-revolutionising-museums-and-galleries-using-big-data-solutions/

  44. May, G.: Details of Hawke’s Bay’s Rocket Lab’s next mission revealed. New Zealand Herald, Auckland, 12 March 2019

    Google Scholar 

  45. Ma, Y., Wu, H., Wang, L., Huang, B., Ranjan, R., Zomaya, A., Jie, W.: Remote sensing big data computing: challenges and opportunities. Future Gener. Comput. Syst. 51, 47–60 (2015)

    Article  Google Scholar 

  46. Quartulli, M., Olaizola, I.G.: A review of EO image information mining. ISPRS J. Photogramm. Remote Sens. 75, 11–28 (2013)

    Article  Google Scholar 

  47. Witharana, C., Lynch, H.: An object-based image analysis approach for detecting penguin guano in very high spatial resolution satellite images. Remote Sens. 8(5), 375 (2016)

    Article  Google Scholar 

  48. Comment: Govt is pulling NZ out of a global science project with spin-offs for IT here - Derek McCormack. New Zealand Herald, Auckland, 8 April 2019

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Huddersfield, Huddersfield, HD1 3DH, UK

    Marianne Cherrington, Zhongyu (Joan) Lu & Qiang Xu

  2. Manukau Institute of Technology, Auckland, 2104, New Zealand

    Fadi Thabtah

  3. Unitec Institute of Technology, Auckland, 1025, New Zealand

    David Airehrour

  4. Auckland University of Technology, Auckland, 1010, New Zealand

    Samaneh Madanian

Authors
  1. Marianne Cherrington
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhongyu (Joan) Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qiang Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fadi Thabtah
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. David Airehrour
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Samaneh Madanian
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marianne Cherrington .

Editor information

Editors and Affiliations

  1. University of Huddersfield, Huddersfield, UK

    Andrew Ball

  2. University of Huddersfield, Huddersfield, UK

    Len Gelman

  3. COMADEM International, Birmingham, UK

    B. K. N. Rao

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cherrington, M., Lu, Z.(., Xu, Q., Thabtah, F., Airehrour, D., Madanian, S. (2020). Digital Asset Management: New Opportunities from High Dimensional Data—A New Zealand Perspective. In: Ball, A., Gelman, L., Rao, B. (eds) Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-030-57745-2_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-57745-2_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57744-5

  • Online ISBN: 978-3-030-57745-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation