IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-71371-2_10.html
   My bibliography  Save this book chapter

Using AI in the Business Context: Initial Applications in the Italian Business Environment

In: Artificial Intelligence in Accounting and Auditing

Author

Listed:
  • Mariarita Pierotti

    (University of Pisa)

Abstract

Artificial Intelligence (AI) has had a significant impact on business accounting in Italy, focusing on improving operational efficiency, data analysis, and personalized services. The AI market is rapidly expanding in Italy, driven by investor interest and incentives provided by the PNRR (National Recovery and Resilience Plan). Forecast solutions, particularly in the context of Intelligent Data Processing, are leading the segment, with high demand for activities such as business planning, investment management, and budgeting due to current geopolitical conditions. The main challenges in this area are related to securing a budget and the lower level of digitalization in small and medium-sized enterprises (SMEs). In conclusion, the enthusiasm of Italian companies for AI solutions is evident in the significant percentage of organizations that are in the early stages of adoption or experimentation on the adoption curve. This is due to the increasingly complex tax and accounting regulations, the substantial volume of data requiring analysis, and the imperative need to ensure transparency, traceability, and accuracy in financial activities, making the integration of AI an essential requirement. This chapter discusses applications developed in collaboration with the AI-LOG consulting company.

Suggested Citation

  • Mariarita Pierotti, 2024. "Using AI in the Business Context: Initial Applications in the Italian Business Environment," Springer Books, in: Artificial Intelligence in Accounting and Auditing, chapter 0, pages 209-226, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-71371-2_10
    DOI: 10.1007/978-3-031-71371-2_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-031-71371-2_10. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.