What is the Business with AI? Preparing Future Decision Makers and Leaders

IF 0.7 Q3 MULTIDISCIPLINARY SCIENCES Technology and Innovation Pub Date : 2020-12-01 DOI:10.21300/21.4.2020.4
Helena S. Wisniewski
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引用次数: 1

Abstract

With companies now recognizing how artificial intelligence (AI), digitalization, the internet of things (IoT), and data science affect value creation and the maintenance of a competitive advantage, their demand for talented individuals with both management skills and a strong understanding of technology will grow dramatically. There is a need to prepare and train our current and future decision makers and leaders to have an understanding of AI and data science, the significant impact these technologies are having on business, how to develop AI strategies, and the impact all of this will have on their employees' roles. This paper discusses how business schools can fulfill this need by incorporating AI into their business curricula, not only as stand-alone courses but also integrated into traditional business sequences, and establishing interdisciplinary efforts and collaborative industry partnerships. This article describes how the College of Business and Public Policy (CBPP) at the University of Alaska Anchorage is implementing multiple approaches to meet these needs and prepare future leaders and decision makers. These approaches include a detailed description of CBPP's first AI course and related student successes, the integration of AI into additional business courses such as entrepreneurship and GSCM, and the creation of an AI and Data Science Lab in partnership with the College of Engineering and an investment firm.
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人工智能的业务是什么?培养未来的决策者和领导者
随着公司现在认识到人工智能(AI)、数字化、物联网(IoT)和数据科学如何影响价值创造和竞争优势的维持,他们对既有管理技能又对技术有深刻理解的人才的需求将急剧增长。有必要准备和培训我们当前和未来的决策者和领导者,让他们了解人工智能和数据科学,这些技术对商业的重大影响,如何制定人工智能战略,以及所有这些对员工角色的影响。本文讨论了商学院如何通过将人工智能纳入其商业课程来满足这一需求,不仅将其作为独立课程,还将其整合到传统的商业序列中,并建立跨学科的努力和协作的行业伙伴关系。本文描述了阿拉斯加安克雷奇大学商业与公共政策学院(CBPP)如何实施多种方法来满足这些需求,并为未来的领导者和决策者做好准备。这些方法包括详细描述CBPP的第一个人工智能课程和相关学生的成功,将人工智能整合到其他商业课程中,如创业和GSCM,以及与工程学院和一家投资公司合作创建人工智能和数据科学实验室。
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来源期刊
Technology and Innovation
Technology and Innovation MULTIDISCIPLINARY SCIENCES-
自引率
20.00%
发文量
12
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