影响人工智能采用的挑战的市场研究

Q2 Business, Management and Accounting
Fernando Schmiegelow, Francisco C. L. Melo
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引用次数: 0

摘要

虽然有很多关于人工智能的理论参考,但其实际挑战仍然未知。本文使用市场研究,旨在确定关键的成功因素,为人工智能的实施做准备,指出最合适的策略来解决这些问题。结果让我们得出结论,存在几个挑战,主要是缺乏数据基础设施和训练有素的人员,以及缺乏对应用程序的更好理解。人工智能以及其他颠覆性技术为重新思考商业模式提供了空间,不仅可以改善现有流程,还可以看到新的机会。有趣的是,一个成功的人工智能实现,不仅仅是一个简单的改进流程和业务的创新项目,还能创造一种新的文化,包括互动、实验、自动化、分析和预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A MARKET RESEARCH ON CHALLENGES INFLUENCING ARTIFICIAL INTELLIGENCE ADOPTION
Although there are many theoretical references regarding the adoption of artificial intelligence, its practical challenges remain unknown. This article uses a market research aiming to identify the critical success factors to prepare for the artificial intelligence implementation, indicating the most appropriate strategies to adddress them. The results allow us to conclude that there are several challenges, the main ones being the lack of data infrastructure and trained people, and the lack of a better understanding of applications. Artificial intelligence, as well as other disruptive technologies, makes room for rethinking business models, not only improving existing processes, but also making it possible to see new opportunities. It is interesting to point out that, much more than a simple innovative project to improve processes and business, a succesful artificial intelligence implementation enables the creation of a new culture of interaction, experimentation, automation, analysis and prediction.
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来源期刊
Business: Theory and Practice
Business: Theory and Practice Business, Management and Accounting-Strategy and Management
CiteScore
5.00
自引率
0.00%
发文量
35
审稿时长
8 weeks
期刊介绍: The journal "Business: Theory and Practice" is published from 2000. 1 vol (4 issues) per year are published. Articles in Lithuanian, English, German, Russian. The Journal has been included into database "ICONDA" and "Business Source Complete".
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