Increased Productivity and Reduced Waste with Robotic Process Automation and Generative AI-Powered IoE Services

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Wei Lo;Chun-Ming Yang;Qiansha Zhang;Mingyuan Li
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引用次数: 0

Abstract

The convergence of robotic process automation (RPA) and generative AI (GAI) within the context of Internet of Everything (IoE) services represents a profound paradigm shift. This fusion of technologies not only streamlines routine tasks but also catalyzes innovation while harnessing the potential of interconnected devices. Such integration empowers organizations to achieve remarkable gains in efficiency and sustainability. This paper embarks on an exploration of these transformative services, designed to elevate productivity, and curtail wasteful practices in contemporary industries. By closely examining intricate case studies, we illuminate the multifaceted advantages of this integrated approach. Our investigation demonstrates how RPA accelerates the execution of repetitive processes, substantially diminishing the margin for human error and amplifying operational efficiency. In contrast, generative AI introduces a disruptive force, generating fresh ideas, designs, and solutions, thereby elevating the quality of products and services. The infusion of these cutting-edge technologies into the fabric of IoE services paves the way for organizations to attain unprecedented levels of automation, intelligence, and connectivity. Furthermore, this paper comprehensively addresses the intricate challenges and considerations associated with the proposed implementation. We delve into ethical concerns, security implications, and the necessary workforce adaptation to offer a balanced perspective on the adoption of these technologies. Additionally, we navigate through potential limitations and constraints, underscoring the imperative need for strategic planning and robust governance.
利用机器人流程自动化和生成性人工智能驱动的物联网服务提高生产率并减少浪费
机器人流程自动化(RPA)和生成式人工智能(GAI)在万物互联(IoE)服务中的融合代表了一种深刻的模式转变。这种技术的融合不仅简化了日常任务,还在利用互联设备的潜力的同时促进了创新。这种融合使组织能够在效率和可持续性方面取得显著收益。本文将探讨这些旨在提高生产力、减少当代工业中浪费行为的变革性服务。通过仔细研究错综复杂的案例研究,我们阐明了这种集成方法的多方面优势。我们的调查证明了 RPA 如何加快重复流程的执行速度,大幅减少人为错误,提高运营效率。与此形成鲜明对比的是,生成式人工智能引入了一种颠覆性力量,能够产生新的想法、设计和解决方案,从而提升产品和服务的质量。将这些前沿技术注入物联网服务结构,为企业实现前所未有的自动化、智能化和互联互通水平铺平了道路。此外,本文还全面探讨了与拟议实施相关的复杂挑战和注意事项。我们深入探讨了道德问题、安全影响和必要的劳动力适应问题,为采用这些技术提供了一个平衡的视角。此外,我们还探讨了潜在的限制和制约因素,强调了战略规划和稳健管理的必要性。
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
Journal of Web Engineering
Journal of Web Engineering 工程技术-计算机:理论方法
CiteScore
1.80
自引率
12.50%
发文量
62
审稿时长
9 months
期刊介绍: The World Wide Web and its associated technologies have become a major implementation and delivery platform for a large variety of applications, ranging from simple institutional information Web sites to sophisticated supply-chain management systems, financial applications, e-government, distance learning, and entertainment, among others. Such applications, in addition to their intrinsic functionality, also exhibit the more complex behavior of distributed applications.
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