IDEAS home Printed from https://ideas.repec.org/h/bis/bisifc/66-20.html

Enhancing metadata with generative AI: the case of BIS statistics

In: Statistics and beyond: new data for decision making in central banks

Author

Listed:
  • Bilyana Bogdanova
  • Magdalena Erdem
  • Bianca Ligani
  • Olivier Sirello

Abstract

No abstract is available for this item.

Suggested Citation

  • Bilyana Bogdanova & Magdalena Erdem & Bianca Ligani & Olivier Sirello, 2026. "Enhancing metadata with generative AI: the case of BIS statistics," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistics and beyond: new data for decision making in central banks, volume 66, Bank for International Settlements.
    • Handle: RePEc:bis:bisifc:66-20
    as

    Download full text from publisher

    File URL: https://www.bis.org/ifc/publ/ifcb66_20_rh.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jean-Marc Israel & Bruno Tissot, 2021. "Incorporating micro data into macro policy decision-making," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Micro data for the macro world, volume 53, Bank for International Settlements.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sonya Georgieva, 2023. "Application of Artificial Intelligence and Machine Learning in the Conduct of Monetary Policy by Central Banks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 177-199.
    2. Dominik Elgg & Taejin Park & Bruno Tissot & Jose María Vidal Pastor, 2025. "Leveraging corporates' financial statements for policy insights," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Leveraging corporates' financial statements for policy insights, volume 65, Bank for International Settlements.

    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:bis:bisifc:66-20. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.html .

    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.