Managing Artificial Intelligence : How Organizations Succeed with AI / / edited by Nils Urbach, Daniel Feulner
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| Autore: |
Urbach Nils
|
| Titolo: |
Managing Artificial Intelligence : How Organizations Succeed with AI / / edited by Nils Urbach, Daniel Feulner
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Edizione: | 1st ed. 2026. |
| Descrizione fisica: | 1 online resource (355 pages) |
| Disciplina: | 658.4062 |
| 658.514 | |
| Soggetto topico: | Technological innovations |
| Artificial intelligence | |
| Business information services | |
| Strategic planning | |
| Leadership | |
| Industrial organization | |
| Innovation and Technology Management | |
| Artificial Intelligence | |
| Business Information Systems | |
| Business Strategy and Leadership | |
| Organization | |
| IT in Business | |
| Altri autori: |
Urbach
|
| Nota di contenuto: | Introduction to Managing Artificial Intelligence -- Technological Foundations of AI -- Foundations of Neural Networks -- Introduction to Generative AI -- Evaluating and Optimizing AI Models -- Application Potentials of AI Technologies -- Identifying, Designing and Evaluating AI Use Cases -- AI Strategizing and Readiness -- Governance and Management of AI -- Techno-Economic Decisions of AI -- Designing Human-AI Interactions -- AI Monitoring and Change Management -- Ethical, Legal and Social Implications of AI. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Managing Artificial Intelligence |
| ISBN: | 3-032-13308-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911049197003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Future of Business and Finance, . 2662-2475