AI and IoT: Driving Business Success and sustainability in the Digital Age
Springer International Publishing (Verlag)
978-3-031-92239-8 (ISBN)
This book explores the integration of AI technologies with emerging trends such as IoT, blockchain, and cloud computing. In this book readers will embark on a transformative journey that explores the powerful convergence of Artificial Intelligence (AI), Internet of Things (IoT), and business management. With the advent of these cutting-edge technologies, businesses have unprecedented opportunities to revolutionize their operations, drive innovation, and achieve remarkable success in today's digital landscape.
1.Privatization And Human Resource Management: Unraveling The Impact On Organizations And Employees.- 2.Leadership In A Time Of Crisis: How International Business Leaders Sustained Competitiveness In Global Talent Management.- 3.Ai At The Service Of Middle Managers - The Case Of Developing Countries.- 4.Business Sustainability, Sustainable Planning, Operational Efficiency, And The Role Of Emerging Technologies.- 5.Evaluating The Impact Of Circular Economy Principles On Sustainable Technology Adoption In Smes.- 90.The Impact Of The Use Of Artificial Intelligence On The Quality Of Decision-Making In Healthcare Institutions.- 91.Gl bal sat n Trends n The Susta nable Devel pment f Urban Aggl merat ns.- 92.Ecological Logistics In The Processes Of Restoration Of Cattle Breeding In The Deoccupied Territories Of Ukraine.
| Erscheinungsdatum | 13.08.2025 |
|---|---|
| Reihe/Serie | Studies in Systems, Decision and Control |
| Zusatzinfo | XIII, 1006 p. 90 illus., 84 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | AI technologies • Artificial Intelligence • Blockchain Integration • Business models • Cloud Computing • Industry Revolution • IoT Integration • machine learning |
| ISBN-10 | 3-031-92239-5 / 3031922395 |
| ISBN-13 | 978-3-031-92239-8 / 9783031922398 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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