An Analytical Review on the Impact of Artificial Intelligence on the Business Industry: Applications, Trends, and Challenges

Q1 Business, Management and Accounting IEEE Engineering Management Review Pub Date : 2024-02-29 DOI:10.1109/EMR.2024.3355973
Kuldeep Gurjar;Anshika Jangra;Hasnan Baber;Maidul Islam;Shabnam Abdulkasem Sheikh
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Abstract

The integration of artificial intelligence (AI) in business processes has revolutionized many industries by automating tasks, improving decision-making processes, and enhancing customer experiences. This review article examines the impact of AI in business areas, including its applications, challenges, limitations, current trends, and future work. The article begins with defining the importance of AI in business, followed by an overview of its applications in various sectors, such as customer service, marketing, finance, healthcare, manufacturing, logistics, and human resources. The advantages and benefits of AI implementation are explored, along with the examples of successful AI implementation and changes in business processes. The challenges and limitations of AI technology, such as ethical concerns, data privacy and security issues, technical expertise and knowledge, and high implementation costs, are explained. Current trends in AI integration, such as the integration of AI with other technologies, the growing demand for AI skills, and the development of more advanced and sophisticated AI algorithms, are presented. The review concludes with recommendations and predictions for the future of AI in business areas and proposes strategies for successful AI implementation while reflecting on ethical and social considerations. Our analysis in this article points to various open research areas and improves the understanding of AI in the business field.
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人工智能对商业行业影响的分析评论:应用、趋势和挑战
将人工智能(AI)融入业务流程,通过实现任务自动化、改善决策流程和提升客户体验,给许多行业带来了革命性的变化。这篇评论文章探讨了人工智能在商业领域的影响,包括其应用、挑战、局限性、当前趋势和未来工作。文章首先定义了人工智能在商业中的重要性,然后概述了其在客户服务、营销、金融、医疗保健、制造、物流和人力资源等各个领域的应用。文章探讨了实施人工智能的优势和好处,以及成功实施人工智能和改变业务流程的实例。还解释了人工智能技术的挑战和局限性,如道德问题、数据隐私和安全问题、技术专长和知识以及高昂的实施成本。介绍了当前人工智能整合的趋势,如人工智能与其他技术的整合、对人工智能技能日益增长的需求以及更先进、更复杂的人工智能算法的发展。综述最后对人工智能在商业领域的未来提出了建议和预测,并提出了成功实施人工智能的战略,同时对道德和社会因素进行了反思。我们在本文中的分析指出了各种开放的研究领域,提高了人们对商业领域人工智能的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Engineering Management Review
IEEE Engineering Management Review Business, Management and Accounting-Management of Technology and Innovation
CiteScore
7.40
自引率
0.00%
发文量
97
期刊介绍: Reprints articles from other publications of significant interest to members. The papers are aimed at those engaged in managing research, development, or engineering activities. Reprints make it possible for the readers to receive the best of today"s literature without having to subscribe to and read other periodicals.
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Table of Contents Front Cover Call for Submissions: IEEE Engineering Management Review Call for Papers: Technology & Engineering Management Conference Series What Drives I4.0 Adoption? Establishing the Importance of Strategy
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