IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/m3a8x.html
   My bibliography  Save this paper

Effect Chat Generative Pre-trained Transformers in Marketing: Possibilities of ChatGPT utilization on iPaaS

Author

Listed:
  • Froolik, Alderd J.

    (Quest Sales & Marketing Automations BV)

Abstract

Chat Gerative Pre-trained Transformers are used more and more. OpenAI’s ChatGPT is the most used AI solution as of today. In the marketing ChatGPT’s role is creasing on a never seen before scale. Utilyzing ChatGPT on a iPaaS (integration Platform as a Service) will change the way of running a business. iPaaS platforms can take over tasks in various departments. When implemented in the marketing department, it can help to create content from almost any source, distribute it to almost any source, analyze the outcome and all at scale too. Combined with other applications images, videos and podcasts can be created automatically.

Suggested Citation

  • Froolik, Alderd J., 2024. "Effect Chat Generative Pre-trained Transformers in Marketing: Possibilities of ChatGPT utilization on iPaaS," OSF Preprints m3a8x, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:m3a8x
    DOI: 10.31219/osf.io/m3a8x
    as

    Download full text from publisher

    File URL: https://osf.io/download/661cd9dcbba39a517b729f3f/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/m3a8x?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
    ---><---

    More about this item

    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:osf:osfxxx:m3a8x. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.