A Framework for the Implementation of Artificial Intelligence in Business Enterprises: A Readiness Model

M. Nortje, S. Grobbelaar
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引用次数: 8

Abstract

Artificial Intelligence (AI) will have transformational impact on businesses. However, the largest opportunities are still to be capitalized. Businesses that are aiming towards implementing AI into their business structure or providing AI services are facing a range of challenges to implement artificial intelligence into their enterprises. As businesses are changing and transforming their business models and processes to capitalize on the advantages of AI, the congestion/bottleneck is in business imagination, management and most importantly, the implementation of AI. This paper aims to identify the range of dimensions and elements for a readiness model framework to assist in the implementation of AI into a business' structures. The development the model framework rests on the completion of two systematic literature reviews. Through this process readiness elements could be mapped into readiness dimensions. This article presents the development of the initial readiness elements and their respective variables which can be categorized as 1) Employee and culture 2) Technology management 3) Organizational governance and leadership 4) Strategy 5) Infrastructure 6) Knowledge and information 7) Security. Through the identification of these readiness dimensions and related elements, an AI-readiness index can in future be developed.
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在商业企业中实施人工智能的框架:准备模型
人工智能(AI)将对企业产生变革性影响。然而,最大的机会仍有待利用。旨在将人工智能应用于其业务结构或提供人工智能服务的企业正面临着将人工智能应用于其企业的一系列挑战。随着企业不断改变和转变其业务模式和流程,以利用人工智能的优势,业务想象、管理以及最重要的是人工智能的实施成为了拥堵/瓶颈。本文旨在确定准备模型框架的维度和元素范围,以帮助将AI实现到业务结构中。模型框架的发展取决于完成两项系统的文献综述。通过这个过程,准备元素可以映射到准备维度。本文介绍了初始准备要素的发展及其各自的变量,可以分类为1)员工和文化2)技术管理3)组织治理和领导4)战略5)基础设施6)知识和信息7)安全。通过识别这些准备度维度和相关元素,未来可以开发人工智能准备度指数。
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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