IDEAS home Printed from https://ideas.repec.org/a/aza/jsoc00/y2020v12i4p357-366.html
   My bibliography  Save this article

Blockchain, artificial intelligence and knowledge graphs: What does it mean for the business?

Author

Listed:
  • Bennett, Mike

    (Director, Hypercube Ltd., UK)

Abstract

In this paper, we look at a number of new technologies that are making their way through the well-known ‘hype cycle’, along with a cold hard look at the hype cycle itself. The items explored include blockchain and artificial intelligence, with a detailed look at various manifestations of these. We learn to think of each new thing not in terms of the claims or even the vocabulary of its proponents, but through the lens of something called ‘ontology’. We explain what ontology is in the simplest sense of the word, this being a formal representation of real things. We consider how to use this as a governance framework with the organisation, including its application to business strategy. In a curious twist, we find that there is also a technology related to ontology that is making its own way up the hype curve, with promising applications for finding out things that are hidden in data. Of course, this is also called ‘ontology’. Finally, we pull this together to set out some points of departure for readers to think about how to manage meaning across the organisation and how to thereby understand and manage these and other new technologies as they come along.

Suggested Citation

  • Bennett, Mike, 2020. "Blockchain, artificial intelligence and knowledge graphs: What does it mean for the business?," Journal of Securities Operations & Custody, Henry Stewart Publications, vol. 12(4), pages 357-366, September.
  • Handle: RePEc:aza:jsoc00:y:2020:v:12:i:4:p:357-366
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/5871/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/5871/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    blockchain; semantics; artificial intelligence; NLP; ontology; business strategy;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • K22 - Law and Economics - - Regulation and Business Law - - - Business and Securities Law

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aza:jsoc00:y:2020:v:12:i:4:p:357-366. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Henry Stewart Talks (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.