Artificial Intelligence and Machine Learning in Business Management
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4th Industrial Revolution
advanced AI business case studies
Ai Application
Ai Technique
Ai Technology
artificial intelligence
Baidu Index
banking business
business management
Category=KJM
Category=UYQ
COVID-19
Credit Card Fraud Detection
Dataset
Deep Learning Architecture
Deep Neural Network Model
E-learning
employee churn management
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ethical issues
F1 Score
forex prediction
German Data Sets
GRNN
healthcare system
Hidden Layers
human resource analytics
Indian ISBN
Indian retail companies
investment forecasting
knowledge management systems
LSTM
machine learning
marketing automation
marketing strategy
Ml
MLP
Model BPNN
Neural Network
NN
personalized care
predictive analytics
Random Forest
risk assessment models
RNN
Roc Curve
semantic data extraction
Sigmoid Activation Function
Smite
supply chain optimization
SVM
SVR
video analysis
Product details
- ISBN 9780367645557
- Weight: 800g
- Dimensions: 156 x 234mm
- Publication Date: 05 Nov 2021
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Artificial 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.
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.
