Abstract
Cognitive computing encompasses computing tools and methods that simulate and mimic the process of human thinking, without human supervision. Deep neural network architectures, natural language processing, big data tools, and self-learning tools based on pattern recognition have been widely deployed to solve highly complex problems. Business intelligence enhances collaboration among different organizational departments with data-driven conversations and provides an organization with meaningful data interpretation for making strategic decisions on time. Since the introduction of ChatGPT in November 2022, the tremendous impacts of using Large Language Models have been rippling through cognitive computing, business intelligence, and their applications in accounting, finance, and management. Unlike other recent reviews in related areas, this review focuses precisely on the cognitive computing perspective, with frontier applications in accounting, finance, and management. Some current limitations and future directions of cognitive computing are also discussed.
| Original language | English |
|---|---|
| Article number | 54 |
| Number of pages | 27 |
| Journal | Big Data and Cognitive Computing |
| Volume | 9 |
| Issue number | 3 |
| Early online date | 26 Feb 2025 |
| DOIs | |
| Publication status | Published - Mar 2025 |
Bibliographical note
This article is an open access article distributed under the terms andconditions of the Creative Commons Attribution (CC BY) license
(https://creativecommons.org/licenses/by/4.0/).
Funding
| Funders | Funder number |
|---|---|
| Not added |
Keywords
- ChatGPT
- accounting
- business intelligence
- cognitive computing
- continual learning
- explainable AI
- finance
- management
ASJC Scopus subject areas
- Management Information Systems
- Information Systems
- Computer Science Applications
- Artificial Intelligence