Artificial Intelligence to Support Business Decisions

Federica De Santis ()
Additional contact information
Federica De Santis: University of Pisa

Chapter Chapter 5 in Artificial Intelligence in Accounting and Auditing, 2024, pp 107-137 from Springer

Abstract: Abstract As more information becomes digitized and the data ecosystem continues to expand, companies worldwide now can access an unpecedented volume of data and information. Managing this substantial volume of internal and external data presents new challenges for businesses seeking to gain a sustainable competitive advantage. These insights enable companies to enhance operational efficiency, improve effectiveness, and make more timely decisions. This chapter will explore how AI can impact companies’ decision-making processes, shedding light on the opportunities and challenges faced by data-driven organizations.

Keywords: Data ecosystem; Decision-making processes; Data-driven; Big Data; Business decisions (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-71371-2_5

Ordering information: This item can be ordered from
http://www.springer.com/9783031713712

DOI: 10.1007/978-3-031-71371-2_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().