IDEAS home Printed from https://ideas.repec.org/a/ban/bancar/v2y2018mfebruaryp78-83.html
   My bibliography  Save this article

Artificial Intelligence in banks: the Adopt & Adapt strategy

Author

Listed:
  • Mattia Schieppati

Abstract

After Governments, which mainly use Artificial Intelligence for military and security application, the banking and financial industry is among the leading sectors adopting Artificial Intelligence and machine learning. The banking sector has always generated and stored large volumes of structured data that, according to a recent McKinsey survey, can become usable and valuable through Artificial Intelligence. To be successful, Ai adoption requires not only technical skills and digital expertise but, first of all, a proactive strategy

Suggested Citation

  • Mattia Schieppati, 2018. "Artificial Intelligence in banks: the Adopt & Adapt strategy," BANCARIA, Bancaria Editrice, vol. 2, pages 78-83, February.
  • Handle: RePEc:ban:bancar:v:2:y:2018:m:february:p:78-83
    as

    Download full text from publisher

    File URL: http://www.bancaria.it/en/artificial-intelligence-in-banks-the-adopt-adapt-strategy
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    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:ban:bancar:v:2:y:2018:m:february:p:78-83. 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: Francesco Emiliano Tani (email available below). General contact details of provider: https://www.bancaria.it .

    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.