Детальная информация

"This book provides an overview of the concepts, tools and techniques behind the increasing field of Data Science and Artificial Intelligence, applied to business and industries"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• List of Contributors
• Table of Contents
• Detailed Table of Contents
• Preface
• Acknowledgment
• Section 1: Strategy
  • Chapter 1: Port Dada Integration
  • Chapter 2: A Software Engineering Perspective on Building Production-Ready Machine Learning Systems
  • Chapter 3: Multivariate Sustainability Profile of Global Fortune 500 Companies Using GRI-G4 Database
  • Chapter 4: Examining the Evolution of E-Government Development of Nations Through Machine Learning Techniques
  • Chapter 5: Artificial Intelligence as Driver for SME Competitiveness
  • Chapter 6: Big Data Is Decision Science
  • Chapter 7: The Future of Advertising
• Section 2: Action
  • Chapter 8: Retail Customer Native Baskets Creation
  • Chapter 9: Studying Customer Experience and Retention Using Applied Data Science and Artificial Intelligence
  • Chapter 10: Using Intelligent Text Analysis of Online Reviews to Determine the Main Factors of Restaurant Value Propositions
  • Chapter 11: Time Series Forecasting in Retail Sales Using LSTM and Prophet
  • Chapter 12: General Model for Metrics Calculation and Behavior Prediction in the Manufacturing Industry
  • Chapter 13: AI Meaning and Applications in the Consumer Sector of Retailing, Hospitality, and Tourism
  • Chapter 14: Key Factors in the Process of Acceptance and Implementation of Artificial Intelligence in the Hotel Sector
  • Chapter 15: Peruvian Consumer Responses to the Use of Technologies in the Context of COVID-19
  • Chapter 16: Artificial Intelligence in Marketing
  • Chapter 17: When Luxury Vinous-Concept Hotel Meets Premium Wine Brands
  • Chapter 18: Data Analysis in the Shipping Industry
  • Chapter 19: Question Answering Chatbot Using Memory Networks
  • Chapter 20: Comparison of Parametric and Non-Parametric Methods to Analyse the Data Gathered by a Likert-Type Scale
  • Chapter 21: Latent Fingerprint Enhancement Based on EDTV Model
  • Chapter 22: The Business, Societal, and Enterprise Architecture Framework
  • Chapter 23: The Effect of Population, Public Investments, and Economic Growth on Regional Renewable Energy Consumption in Turkey
• Section 3: Reflection
  • Chapter 24: Education for the Digital Industry
  • Chapter 25: The Contribution of Data Science Applied to Customer Relationship Management
  • Chapter 26: Data Science in Economics and Business
  • Chapter 27: A Historical Review of Immersive Storytelling Technologies
  • Chapter 28: Artificial Intelligences Are Subsets of Human Beings, Mainly in Fictions and Films
  • Chapter 29: Towards Ethical Neuromarketing 2.0 Based on Artificial Intelligence
  • Chapter 30: Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry
• Compilation of References
• About the Contributors
• Index