从分析学到人工智能

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
T. Davenport
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引用次数: 105

摘要

分析已经被公司使用了几十年,但现在许多公司都对构建人工智能(AI)的能力感兴趣。然而,许多人工智能系统是基于统计和其他形式的分析。企业可以通过建立自己的分析能力,在人工智能方面取得“起步”。本文的重点是如何从分析过渡到人工智能。详细介绍了分析焦点的三个时代,人工智能被描绘为第四个时代。描述了基于和不基于分析的人工智能方法的类型。讨论了基于分析优势的人工智能应用。还简要描述了评估与人工智能相关的分析能力的方法,以及人工智能组织计划和战略的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From analytics to artificial intelligence
ABSTRACT Analytics have been employed by companies for several decades, but now many firms are interested in building their capabilities for artificial intelligence (AI). Many AI systems, however, are based on statistics and other forms of analytics. Companies can get a “running start” on AI by building upon their analytical competencies. The focus of this article is how to transition from analytics to AI. Three eras of analytical focus are detailed, with AI portrayed as a fourth era. The types of AI methods that are and are not based on analytics are described. AI applications that build on analytical strengths are discussed. Approaches to assessing analytical capabilities that relate to AI, and the development of an organizational plan and strategy for AI, are also described in brief.
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来源期刊
Journal of Business Analytics
Journal of Business Analytics Business, Management and Accounting-Management Information Systems
CiteScore
2.50
自引率
0.00%
发文量
13
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