创新分析:在创新过程中利用人工智能

Chinmay Kakatkar, Volker Bilgram, J. Füller
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引用次数: 49

摘要

人工智能(AI)是关于赋予机器一种主要归于人类的智能。现有文献以及我们作为实践者的经验表明,虽然人工智能可能还没有准备好完全接管创新过程中高度创造性的任务,但它有望成为创新管理者的重要支持。在本文中,我们广泛地将创新过程中计算机支持的、数据驱动的见解、模型和可视化的派生称为创新分析。通过推动创新分析的多个方面,人工智能可以在创新过程中发挥关键作用。根据我们之前在该领域的工作,我们提出了四个不同的人工智能案例研究。我们强调了在创新中使用人工智能的好处和局限性,并总结了创新管理者的战略意义和额外资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovation Analytics: Leveraging Artificial Intelligence in the Innovation Process
Artificial intelligence (AI) is about imbuing machines with a kind of intelligence that is mainly attributed to humans. Extant literature—coupled with our experiences as practitioners—suggests that while AI may not be ready to completely take over highly creative tasks within the innovation process, it shows promise as a significant support to innovation managers. In this article, we broadly refer to the derivation of computer-enabled, data-driven insights, models, and visualizations within the innovation process as innovation analytics. AI can play a key role in the innovation process by driving multiple aspects of innovation analytics. We present four different case studies of AI in action based on our previous work in the field. We highlight benefits and limitations of using AI in innovation and conclude with strategic implications and additional resources for innovation managers.
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