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Foreword by Andy Lyman. Preface. Readers. Figures. Acknowledgments. Authors. 1 Artificial intelligence and machine learning: Opportunities for digital business. 2 Data to decisions: Evolving interrelationships. 3 Digital leadership: Strategies for AI adoption. 4 Machine learning types: Statistical understanding in the business context. 5 Dynamicity in learning: Smart selection of learning techniques. 6 Intelligent business processes with embedded analytics. 7 Adopting data-driven culture: Leadership and change management for business optimization. 8 Quality and risks: Assurance and control in BO. 9 Cybersecurity in BO: Significance and challenges for digital business. 10 Natural intelligence and social aspects of AI-based decisions. 11 Investing in the future technology of self-driving vehicles: Case study. Appendix A: Frameworks and libraries for ML. Appendix B: Datasets for ML and predictive analytics. Appendix C: AI and BO research areas. Index.
| Erscheinungsjahr: | 2024 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781032028866 |
| ISBN-10: | 1032028866 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Unhelkar, Bhuvan
Gonsalves, Tad |
| Hersteller: | CRC Press |
| Verantwortliche Person für die EU: | Taylor & Francis Verlag GmbH, Kaufingerstr. 24, D-80331 München, gpsr@taylorandfrancis.com |
| Maße: | 234 x 156 x 18 mm |
| Von/Mit: | Bhuvan Unhelkar (u. a.) |
| Erscheinungsdatum: | 07.10.2024 |
| Gewicht: | 0,497 kg |