Transforming small business landscapes: Artificial Intelligence's evolutionary leap forward
Thunderbird School of Global Management, Arizona State University, Phoenix, Arizona, United States.
Research Article
World Journal of Advanced Research and Reviews, 2022, 16(03), 1141-1157
Article DOI: 10.30574/wjarr.2022.16.3.1223
Publication history:
Received on 25 October 2022; revised on 24 December 2022; accepted on 26 December 2022
Abstract:
In the recent years, the increased rate of data creation and the increasing demand for new solutions have advanced artificial Intelligence (AI) in different industries, including small and medium-sized enterprises. Looking at organization risks, AI poses fresh chances to approach numerous issues, starting with cyber danger that involves improved AI-based algorithms regularly modifying their approaches based on new threats. However, the use of smart algorithms takes into consideration such questions as reductionism as well as unforeseen effects. As indicated in this review paper, the current role of AI in cybersecurity of SMEs in the global market is discussed. The information sources that were used in the present study include databases such as Science Direct, Google Scholar and Research Gate. This study was informed by journal articles, conference papers, and reports to get insight of the current state of AI uptake, deployment, and the issues that SMEs encounter in cybersecurity. This is because using AI in cybersecurity, for example in using machine learning (ML) or deep learning (DL), the review shows how such emerging technologies, can help SMEs in both developing and developed countries to effectively deal with rising cyber threats. It also specifies the issues and enablers related to only the SMEs like the availability and quality of data and technical knowhow. The evidence indicates that even if classical linear methods do not guarantee effective protection AI could present unique solutions to counteract cyber threats. Still, the review also looks at the issues that need to be addressed as well as challenges of implementing AI in the organizations such as ethics, data privacy and security, and personnel. Depending on how the threats are mitigated and how the opportunities are realized, SMEs can transform their value proposition and operational models as well as provide value for customers and stakeholders. Cyber security activities when integrated with AI is a critical area that the review seeks to encourage awareness on to ensure that organizations do not become trading fodder for the cyber criminals.
Keywords:
Artificial intelligence; Cybersecurity; Machine learning; Deep learning; Small and medium-sized enterprises; Supply chain finance; Credit risk forecasting
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Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0