Bhuvan Unhelkar, Tad Gonsalves

Artificial Intelligence for Business Optimization

Research and Applications

• Broschiertes Buch

Produktbeschreibung

Artificial Intelligence for Business Optimization: Research and Applications is primarily a business book that discusses the research and associated practical application of Artificial Intelligence (AI) and Machine Learning (ML) in order to achieve Business Optimization (BO).

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 288
• Erscheinungstermin: 7. Oktober 2024
• Englisch
• Abmessung: 234mm x 156mm x 17mm
• Gewicht: 458g
• ISBN-13: 9781032028866
• ISBN-10: 1032028866
• Artikelnr.: 71694447

Inhaltsangabe

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.