IDEAS home Printed from https://ideas.repec.org/a/aza/jdb000/y2020v5i1p36-40.html
   My bibliography  Save this article

Evolution of the invisible bank: How partnerships with FinTechs are driving digital innovation

Author

Listed:
  • Mishra, Mayank

    (Global Head of Digital Channels, USA)

Abstract

Business banking as we know it is changing in ways that could hardly have been imagined less than a decade ago. The introduction of next-generation technologies, such as application programming interfaces (APIs), artificial intelligence (AI), machine learning and robotics, is poised to deliver the ‘invisible bank’, where treasury and banking functions merge together seamlessly, bringing customer experience to a new level of convenience. This paper discusses the need to extend the reach of banking solutions beyond the bank’s own channels and technologies, incorporating them into day-to-day treasury management functions. In this way, the friction between corporates and banks is reduced — making it impossible to tell where the bank ends and treasury operations begin. By leveraging treasury data in a more contextual way, banks will be able to integrate banking functions and services into the daily duties of treasury professionals, delivering tremendous convenience and a greatly improved client experience. Digital technologies, such as APIs, are allowing banks and corporates to be more agile in connecting and collaborating with each other to bring innovations to market faster, meeting the needs of their customer base. In fact, Forbes reports that 80 per cent of large enterprises are already generating more than US$5m a year from APIs.1

Suggested Citation

  • Mishra, Mayank, 2020. "Evolution of the invisible bank: How partnerships with FinTechs are driving digital innovation," Journal of Digital Banking, Henry Stewart Publications, vol. 5(1), pages 36-40, June.
  • Handle: RePEc:aza:jdb000:y:2020:v:5:i:1:p:36-40
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/5804/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/5804/
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Moch Panji Agung Saputra & Diah Chaerani & Sukono & Mazlynda Md. Yusuf, 2023. "Reserve Fund Optimization Model for Digital Banking Transaction Risk with Extreme Value-at-Risk Constraints," Mathematics, MDPI, vol. 11(16), pages 1-16, August.

    More about this item

    Keywords

    Business banking; next-generation technologies; application programming interfaces (APIs); AI; machine learning; robotics; invisible bank;
    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

    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:jdb000:y:2020:v:5:i:1:p:36-40. 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.