Introduction to Managing Artificial Intelligence

Nils Urbach (), Daniel Feulner () and Philipp Dilger ()
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Nils Urbach: Frankfurt University of Applied Sciences
Daniel Feulner: University of Bayreuth
Philipp Dilger: University of Hohenheim

Chapter 1 in Managing Artificial Intelligence, 2026, pp 1-18 from Springer

Abstract: Abstract This chapter sets the stage for understanding AI and its management. It explores the rise of AI, defines its core concepts, and traces its historical milestones. These foundational insights are followed by a discussion of the essential themes in AI management, structured around the key areas covered in this book: establishing a technical foundation, identifying and designing AI use cases, developing AI strategies and governance frameworks, translating AI strategies into functional solutions, and scaling them effectively. Together, these elements provide a comprehensive framework to navigate the complexities and opportunities of AI in a business context.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-032-13308-3_1

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DOI: 10.1007/978-3-032-13308-3_1

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