IDEAS home Printed from https://ideas.repec.org/a/vrs/poicbe/v17y2023i1p1716-1727n25.html
   My bibliography  Save this article

Banking Chatbots: How Artificial Intelligence Helps the Banks

Author

Listed:
  • Cîmpeanu Ionuț-Alexandru

    (1 Bucharest University of Economic Studies, Bucharest, Romania)

  • Dragomir Denis-Alexandru

    (2 Bucharest University of Economic Studies, Bucharest, Romania)

  • Zota Răzvan Daniel

    (3 Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

When we speak of solutions that can be designed, developed, and implemented to solve a determined problem in a specific domain, human intelligence shows that it cannot be kept within regular bounds. In addition, it consistently manages to produce innovative elements that increase efficiency, applicability, and abstraction, with the drawback of increasing the overall underlying complexity. As technology advanced and time passed, in every system there was a visible need to automate manual, repetitive, and mundane tasks to help save time and let humans focus on more important things. A practical example of such a system is the banking system. In this paper, our aim is to present how Artificial Intelligence (AI) helps this field through the use of chatbots. In this sense, we present and analyse five examples of such applications that are already used in the international banking system, highlighting the main benefits they bring. Finally, we present some conclusions regarding the chatbot systems analysed, acknowledging that the future will increasingly belong to IT applications of this kind.

Suggested Citation

  • Cîmpeanu Ionuț-Alexandru & Dragomir Denis-Alexandru & Zota Răzvan Daniel, 2023. "Banking Chatbots: How Artificial Intelligence Helps the Banks," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1716-1727, July.
  • Handle: RePEc:vrs:poicbe:v:17:y:2023:i:1:p:1716-1727:n:25
    DOI: 10.2478/picbe-2023-0153
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/picbe-2023-0153
    Download Restriction: no

    File URL: https://libkey.io/10.2478/picbe-2023-0153?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:vrs:poicbe:v:17:y:2023:i:1:p:1716-1727:n:25. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.