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Innovation Management for Artificial Intelligence

In: Creating Innovation Spaces

Author

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  • Patrick Glauner

    (Deggendorf Institute of Technology)

Abstract

While there have been a large number of artificial intelligence (AI) research outputs in recent years, managers and practitioners often struggle to turn those into concrete value-adding products. One of the reasons is a lack of innovation management for AI. This chapter connects these dots and demonstrates how successful AI innovation management can be done. Key to turning AI research into concrete AI-based products is building ecosystems that are fruitful, cutting-edge and sustainable. As an outcome, readers can follow our best practices when working towards their own cutting-edge AI products, while getting the big picture of AI, its promise and contemporary challenges.

Suggested Citation

  • Patrick Glauner, 2021. "Innovation Management for Artificial Intelligence," Management for Professionals, in: Volker Nestle & Patrick Glauner & Philipp Plugmann (ed.), Creating Innovation Spaces, chapter 1, pages 1-13, Springer.
    • Handle: RePEc:spr:mgmchp:978-3-030-57642-4_1
    DOI: 10.1007/978-3-030-57642-4_1
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