As data is the most important asset for any organization, it is essential to apply analytics to fulfill the sustainability needs of any organization. This book aims to provide a context for data analytics for the sustainability of organizations, demonstrating innovation across a few specific subject areas with detailed coverage. It highlights how data analytics enables organizations to create intelligence by exploring opportunities and overcoming challenges, both present and future.
Data Science: Semantic Technology, Intelligent Data Analytics, and Sustainability Practices
is packed with up-to-date examples and data, ensuring it is both meaningful
and practical for a diverse audience. It begins with an introduction to data analytics
in the context of sustainable development. Each chapter explores the different aspects
of data analytics for sustainability, utilizing a state-of-the-art context that is easy to
grasp. Key concepts are presented through clear explanations, making them accessible
to all readers. At the end of each chapter is a summary of the main points, allowing for
quick reviews of the essential ideas. It provides practical insights into applying data
analytics concepts toward sustainable development, empowering readers to enhance
their decision-making abilities, and also discusses a strategic approach aligned with
the vision for 2030 and beyond while addressing the anticipated challenges.
This resource provides support to researchers, scholars, technology practitioners, business analysts, data scientists, and industry professionals worldwide, promoting globalization and enabling real-life application of findings in their organizations.
This book aims to provide a context for data analytics for the sustainability of organizations demonstrating innovation across a few specific subject areas with detailed coverage. It highlights how data analytics enables organizations to create intelligence by exploring opportunities and overcoming challenges, both present and future.
1. Strategy for Sustainability.
2. Foundations of Intelligent Data
Analytics.
3. Intelligent Analytics for Environmental Sustainability and
Energy Optimization.
4. Intelligent Analytics for Environmental
Sustainability and Energy Optimization Predictive Analytics for Climate
Change Mitigation.
5. Digital Twins and Distributed Computing to Transform
Manufacturing via Sustainable Innovation.
6. Digitizing CNC Machines for
Sustainable Manufacturing.
7. Sentiment Analysis in Smart Cities: Pandemic
Disease Citizens Opinions.
8. Bridging Accessibility Gaps in Low- and Middle
Income Countries Healthcare: A Cost-Effective Approach to Electric Wheelchair
Conversion.
9. Collaborative Artificial Intelligence (AI) for Diverse
Internet of Things (IoT) Devices: Balancing Privacy, Efficiency, and
Performance in Federated Learning.
10. Intelligent Data Analytics for
Sustainable Human Resources Management in Information Technology Companies.
11. Future Directions in Semantic Technology, Data Analytics, and
Sustainability.
Narayan C. Debnath is currently the Founding Dean of the School of Computing and Information Technology and the Head of the Department of Software Engineering at Eastern International University, Vietnam. He has been the Director of the International Society for Computers and Their Applications (ISCA), USA, since 2014.
Archana Patel is an Assistant Professor at the National Forensic Sciences University, Delhi, India. She has worked as a full-time faculty at the School of Computing and Information Technology, Eastern International University, Binh Duong Province, Vietnam, and completed her postdoc at Freie University Berlin, Germany. She has been awarded the Best Paper award four times at international conferences and has served as a reviewer in various reputable journals and conferences. She is the author or co-author of over 40 publications in numerous referred journals and conference proceedings, has edited 11 books, and served as a guest editor in many well-reputed journals. Her research interests are ontological engineering, semantic web, big data, expert systems, and knowledge representation.
Ambrish Kumar Mishra is pursuing his Ph.D. at Vikrant University, India, and he is a member of the International Society for Development and Sustainability (ISDS), Japan. He has 6 years of industry, teaching, and training experience in renowned organizations like ALIMCO, Axis Bank, IndusInd Bank, and Mahendras. Mishra has received various awards in the field of research, training, and development, including an Honorary Doctor Award for his contributions to education and research. His published research paper has been selected for the Best Paper award at the International Conference in 2021. His areas of interest are banking, data management, e-commerce, and artificial intelligence.
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