Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?

IF 3 2区 社会学 Q2 BUSINESS Competition & Change Pub Date : 2022-05-20 DOI:10.1177/10245294221097066
Sebastián Fernández Franco, Juan M. Graña, David Flacher, Cecilia Rikap
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引用次数: 2

Abstract

This paper examines the innovation strategy of Siemens, a key player in Europe’s digital economy, by performing network and lexical analyses using data derived from Siemens’s patents and scientific publications since 1998. We observe that the company’s innovation efforts evolved from a broader attempt to develop internal information and communication technology (ICT) capabilities – alongside its historical industrial priorities – to a strategy focused on developing artificial intelligence (AI) for sector-specific and niche applications (such as life and medical sciences). As a result, it became dependent on tech giants’ clouds for accessing more general AI services and digital infrastructure. We build on the intellectual monopoly literature focusing on the effects of tech giants on other leading corporations, to analyse Siemens’s experience. By abandoning the development of general ICT and given the emergence of tech giants as digital economy intellectual monopolies, we show that Siemens is risking its technological autonomy towards these big tech companies. Our results provide clues to understand the challenges faced by Europe and its firms in relation to US and Chinese tech giants.
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生产和使用人工智能:欧洲可以从西门子的经验中学到什么?
本文通过使用西门子自1998年以来的专利和科学出版物中的数据进行网络和词汇分析,考察了欧洲数字经济的关键参与者西门子的创新战略。我们观察到,该公司的创新努力从开发内部信息和通信技术(ICT)能力的更广泛尝试——以及其历史上的行业优先事项——演变为专注于为特定行业和利基应用(如生命科学和医学科学)开发人工智能的战略。因此,它变得依赖科技巨头的云来访问更通用的人工智能服务和数字基础设施。我们在关注科技巨头对其他领先企业影响的知识垄断文献的基础上,分析西门子的经验。通过放弃通用信息通信技术的发展,并考虑到科技巨头作为数字经济知识垄断企业的出现,我们表明西门子正在向这些大型科技公司冒着技术自主性的风险。我们的研究结果为了解欧洲及其公司与美国和中国科技巨头相比所面临的挑战提供了线索。
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
CiteScore
7.20
自引率
7.70%
发文量
37
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