The focus of this book is to introduce Artificial Intelligence (AI) and Machine Learning (ML) technologies into the context of Business Management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers.
The focus of this book is to introduce Artificial Intelligence (AI) and Machine Learning (ML) technologies into the context of Business Management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers.
With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, insurance and healthcare systems.
Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines.
| Preface |
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ix | |
| Acknowledgements |
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xiii | |
| Contributors |
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xv | |
| Editors |
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xix | |
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Chapter 1 Artificial Intelligence in Marketing |
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1 | (14) |
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Chapter 2 Consumer Insights through Retail Analytics |
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15 | (14) |
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Chapter 3 Multi-Agent Paradigm for B2C E-Commerce |
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29 | (24) |
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Chapter 4 Artificial Intelligence and Machine Learning: Discovering New Ways of Doing Banking Business |
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53 | (28) |
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Chapter 5 Analysis and Comparison of Credit Card Fraud Detection Using Machine Learning |
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81 | (14) |
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Chapter 6 Artificial Intelligence for All: Machine Learning and Healthcare: Challenges and Perspectives in India |
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95 | (20) |
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Chapter 7 Demystifying the Capabilities of Machine Learning and Artificial Intelligence for Personalized Care |
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115 | (12) |
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Chapter 8 Artificial Intelligence and the 4th Industrial Revolution |
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127 | (18) |
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Chapter 9 AI-Based Evaluation to Assist Students Studying through Online Systems |
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145 | (26) |
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Chapter 10 Investigating Artificial Intelligence Usage for Revolution in E-Learning during COVID-19 |
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171 | (8) |
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Chapter 11 Employee Churn Management Using AI |
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179 | (16) |
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Chapter 12 Machine Learning: Beginning of a New Era in the Dominance of Statistical Methods of Forecasting |
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195 | (10) |
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Chapter 13 Recurrent Neural Network-Based Long Short-Term Memory Deep Neural Network Model for Forex Prediction |
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205 | (18) |
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Chapter 14 Ethical Issues Surrounding AI Applications |
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223 | (14) |
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Chapter 15 Semantic Data Extraction Using Video Analysis: An AI Analytical Perspective |
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237 | (20) |
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| Index |
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257 | |
Dr. Sandeep is currently working as an Associate Professor in the Department of Computer Science and Engineering, Faculty of Science and Technology at ICFAI Foundation for Higher Education (deemed to be University), Hyderabad, Telangana, INDIA. His research interests include Software Engineering, Web Engineering, Cryptography & Security, Blockchain Technology, Internet of Things, AI and Cloud Computing. He has published many papers in international journals and in international conferences of repute. He received the Research and Innovation of the Year Award hosted by WIEF and EduSkills under the Banner of MSME, Govt. of INDIA and DST, Govt. of INDIA at New Delhi on January 2020. He has eight Indian Patents to his credit.
Dr. Vaibhav is currently working as an Assistant Professor at the IBS Hyderabad, IFHE University, India. He has completed his engineering in computer science from Uttar Pradesh Technical University, India. Subsequently, he received his MBA and PhD from the Indian Institute of Information Technology (IIIT), Allahabad, India. During his PhD, Dr. Mishra received the MHRD scholarship. He has published research articles in international journals of repute (indexed in SCOPUS and ABDC), such as International Journal of Bank Marketing (A), International Journal of Electronic Business (C) , etc. He has also reviewed journal articles for various journals. His areas of interest are Management Information System, Database Management System, cryptocurrency, cloud computing, E-commerce, ERP Systems, Quality Management and Data Mining.
R. Balamurali is currently working as an Assistant Professor and Coordinator in the Department of Computer Science and Engineering, Faculty of Science and Technology at the ICFAI Foundation for Higher Education, Hyderabad, India. His research interests include Energy Efficiency in Wireless Sensor Networks, Wireless Body Area Networks, IoT, AI and Deep Learning. Dr. Balamurali is a life member of Indian Society for Technical Education (ISTE). He received his B.E. Degree in Computer Science and Engineering from PET College of Engineering, India in 2002. He completed M.Tech. in Information Technology from Satyabhama University, Chennai, India in 2008 and his Ph.D. in Computer Science and Engineering with specialization in Wireless Sensor Networks form SRM University, Chennai, India in 2017. From June, 2017 to June, 2018, he worked as a Post-Doctoral Fellow at Bennett University, Greater Noida, India. He has published research articles in international journals and conferences of repute.
Dr. Elngar is the Founder and Head of Scientific Innovation Research Group (SIRG) and Assistant Professor of Computer Science at the Faculty of Computers and Information, Beni-Suef University. Dr. Elngar is the Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Information, Beni-Suef University. He is a Managing Editor for the Journal of Cybersecurity and Information Management (JCIM) Dr. Elngar has more than 25 scientific research papers published in prestigious international journals and over 5 books covering such diverse topics as data mining, intelligent systems, social networks and smart environment, Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems. He is an Editor and Reviewer of many international journal around the world.
