Artificial Intelligence for Business Optimization
portes grátis
Artificial Intelligence for Business Optimization
Research and Applications
Unhelkar, Bhuvan; Gonsalves, Tad
Taylor & Francis Ltd
10/2024
288
Mole
9781032028866
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Business Process;Digital Business;Ml Algorithm;Big Data;IoT Device;BO;Data Driven Decision Making;Optimized Business Processes;BO Strategy;Ml Model;GRC;Business Agility;GDPR;Composite Agile Method;Unstructured Data;AI System;Digital Business Strategy;AV Technology;Autonomous Driving;Data Augmentation;Cybersecurity Strategies;DBSCAN Algorithm;Self-driving Vehicles;Self-driving Cars;Fine Granular Analytics
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Business Process;Digital Business;Ml Algorithm;Big Data;IoT Device;BO;Data Driven Decision Making;Optimized Business Processes;BO Strategy;Ml Model;GRC;Business Agility;GDPR;Composite Agile Method;Unstructured Data;AI System;Digital Business Strategy;AV Technology;Autonomous Driving;Data Augmentation;Cybersecurity Strategies;DBSCAN Algorithm;Self-driving Vehicles;Self-driving Cars;Fine Granular Analytics
