Title data
Managing Artificial Intelligence : How Organizations Succeed with AI.
ed.: Urbach, Nils ; Feulner, Daniel
Cham
:
Springer
,
2026
. -
321 p.
- (Future of Business and Finance
)
ISBN 978-3-032-13308-3
DOI: https://doi.org/10.1007/978-3-032-13308-3
Abstract in another language
Artificial intelligence (AI) is reshaping the way organizations operate, make decisions, and create value. As AI systems become increasingly embedded in business processes, the challenge lies not only in understanding the technology but in managing it effectively. This book provides a comprehensive and structured overview of the principles, strategies, and practices required to integrate AI into modern organizations. It spans the full AI lifecycle, from foundational concepts and learning methods to the identification of use cases, the implementation of AI strategies and governance mechanisms, as well as the design and development of AI applications. It examines how to design meaningful human-AI interactions, navigate workforce transformation, and operate AI systems at scale. Ethical, legal, and social dimensions are addressed to ensure that AI adoption aligns with values such as transparency, fairness, and accountability. The book is written for decision-makers, professionals, and students who are not only curious about AI – but who want to actively shape its role in organizations. Whether you’re leading AI initiatives or preparing for the future of work, it provides essential guidance for leveraging AI in a strategic and impactful way. After all, AI hasn’t (yet) figured out how to manage itself.
Further data
| Item Type: | Book / Monograph |
|---|---|
| Keywords: | Artificial Intelligence |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors > Professor Information Systems Management and Strategic IT Management - Univ.-Prof. Dr. Nils Urbach Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > FIM Research Center for Information Management |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
| Date Deposited: | 13 Mar 2026 08:33 |
| Last Modified: | 13 Mar 2026 08:33 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96566 |