Handbook of research on applied data science and artificial intelligence in business and industry / edited by Valentina Chkoniya.

Format:

Book

Contributor:

Chkoniya, Valentina, 1977- editor.

Language:

English

Subjects (All):

Business--Technological innovations.

Business.

Artificial intelligence.

Physical Description:

1 online resource (795 pages)

Place of Publication:

Hershey, Pennsylvania : IGI Global, [2021]

Summary:

The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today's corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries--from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.

Contents:

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.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

1-7998-6986-5

9781668471074 (ebook)