Artificial Intelligence and Machine Learning in Business Management
Concepts, Challenges, and Case Studies

Coordinators: Panda Sandeep Kumar, Mishra Vaibhav, Balamurali R., Elngar Ahmed A.

Language: English

135.96 €

In Print (Delivery period: 14 days).

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· 15.6x23.4 cm · Hardback

Arti?cial Intelligence and Machine Learning in Business Management

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, and 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.

1. Introduction to AI & ML. 2. Impact of AI & ML in Operations Management. 3. Impact of AI & ML in Marketing. 4. Impact of AI & ML in Human Resource Management. 5. Impact of AI & ML in Finance. 6. Impact of AI & ML in Strategy. 7. Impact of AI & ML on Society and Governments. 8. Logistics and Supply Chain Management. 9. Manufacturing and Industrial. 10. Advertisement and Customer Relationship. 11. Knowledge Management, Talent Management. 12. E-Governance and E-Learning.

Professional and Undergraduate Advanced
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 Educa