Artificial Intelligence and Machine Learning in Business Management
Concepts, Challenges, and Case Studies
1st Edition
Published on 4. November 2021
278 pages
978-1-000-43211-4 (ISBN)
Description
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.
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.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
48 Tables, black and white; 63 Line drawings, black and white; 7 Halftones, black and white; 70 Illustrations, black and white
ISBN-13
978-1-000-43211-4 (9781000432114)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Sandeep Kumar Panda | Vaibhav Mishra | R. Balamurali
Artificial Intelligence and Machine Learning in Business Management
Concepts, Challenges, and Case Studies
Book
10/2024
1st Edition
CRC Press
€71.60
Shipment within 15-20 days
Sandeep Kumar Panda | Vaibhav Mishra | R. Balamurali
Artificial Intelligence and Machine Learning in Business Management
Concepts, Challenges, and Case Studies
Book
11/2021
1st Edition
CRC Press
€171.20
Shipment within 15-20 days
Sandeep Kumar Panda | Vaibhav Mishra | R. Balamurali
Artificial Intelligence and Machine Learning in Business Management
Concepts, Challenges, and Case Studies
Book
10/2021
CRC Press
Unfortunately, price unknown
Available (delivery time upon request)
Persons
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.
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.
Content
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.
