Innovation in Africa for Industry 4.0

AI, Data Analytics and Digital Transformation
1. Auflage 2026
ISBN: 978-1-041-06756-6
Verlag: Taylor & Francis

Buch, Englisch, 304 Seiten, Format (B × H): 210 mm x 280 mm

Reihe: Artificial Intelligence, Data Analytics, and Digital Transformation for Sustainable Development in Africa

This book explores the transformative impact of emerging technologies such as AI, blockchain, and machine learning on industries and societies, particularly in Africa. It provides a comprehensive study of how these innovations can drive sustainable development, improve governance, and address global challenges like climate change, economic inequality, and data privacy. Through real-world examples and practical insights, it demonstrates how AI and blockchain can solve pressing issues in sectors like education, agriculture, and finance. The book emphasises the potential of these technologies in fostering economic growth, improving transparency, and advancing social development in Africa.

• Explores AI, blockchain, and machine learning in the context of Africa’s development

• Highlights the role of emerging technologies in addressing global challenges

• Discusses the applications of these technologies in various sectors

• Provides practical examples and real-world insights

• Examines the risks, including cybersecurity and data privacy

• Offers a balanced combination of technical depth and accessibility

This book is for scholars, professionals, and policymakers interested in the role of emerging technologies in sustainable development, especially in Africa.

Zielgruppe

Academic

Autoren/Hrsg.

Ade-Ibijola, Abejide

Oyelere, Solomon

Osakwe, Jude

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Wirtschaftswissenschaften Betriebswirtschaft Management Projektmanagement
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

1. Promoting Awareness of the Negative Impacts of Child Marriage through the use of Digital Technologies: Findings from Key Stakeholders 2. Blockchain Technology in Green Bond Issuance 3. A Digital Governance Framework for Public Enterprise: A Case of the Motor Vehicle Accident Fund in Namibia 4. The Integration of Lean with Industrial Revolution 4.0 Technologies for Sustainability in Food and Beverages Companies 5. A Systematic Review of Payload Systems for Drone-Based Agriculture: Enhancing Efficiency in Precision Farming 6. AI Revolution in Higher Education: A Systematic Review of Transformative Tools and Technologies 7. Machine Translation for code-switching between English and Setswana in a South African classroom: Some initial results 8. Enhancing Data Analytics Education through Project-Based Learning: Bridging Theory and Practice 9. Utilization of Machine Learning Algorithms for Player Classification and Prediction Analysis in Cybersecurity Games: A Case Study with CyberVigilance 10. A Framework for Anomaly Detection of Internet Network Traffic in University Campus Using Artificial Intelligence 11. Comparative Analysis of Machine Learning Techniques in Predicting Monkeypox 12. Understanding Human Behavior in Cybersecurity: Integrating Behavioral Theories into Policy Implementation and compliance 13. Co-design of Entrepreneurial Digital Technology for Indigenous Communities: A Systematic Literature Review 14. The use of virtual reality (VR) to enhance teaching and learning in undergraduate engineering classrooms 15. Augmented Reality Application in Teaching ObjectOriented Programming Concept 16. A Neuroethical Analysis of AI-driven Human Function Regulation with Brain Chip Implants: A Comprehensive Review 17. Integrating Digital Forensics into Financial Audits for Sustainability 18. Genetic Algorithm Optimization for A Hybrid CNN-LSTM IoT Networks 19. A Real-Time Sensor Network for Greenhouse Environmental Monitoring 20. Decoding NoSQL: Comparative Analysis of ArangoDB, Cassandra, and MongoDB Query Languages and Their Algebraic Structure 21. Investigating the Techniques for Securing Electronic Health Data Privacy 22. A Framework for Integrating Information Technology Risk Management into Enterprise Risk Management in Namibian Universities 23. Technology Adoption Impact on Environmental and Social Performance in South African Mining 24. Enhanced Stability of Drones Using Optimized PID Control Systems 25. Extreme Value Theory – An Application to the US Ethereum Market 26. Modelling Exchange Rate of South African ZAR With Deep Learning Models 27. Emerging market sentiment towards Central Bank digital currencies (CBDCs) – contrasting lexical and machine learning approaches 28. Advertising on Social Media: Analyzing the Key Drivers of Success for Businesses in the Khomas Region 29. Leveraging the Power of Mass Media to Cultivate a Cyber-Savvy South Africa 30. Parallel Data Acquisition for Investigating Private Mode Browsing in Portable and Installed Enhanced Privacy Browsers with a Case Study on Brave 31. Combined Shock and Maintenance Approach to Reliability Evaluation 32. License Plate Recognition For Traffic Violation Detection Using Advanced Image Processing And Optical Character Recognition Techniques 33. Concept paper: Employing the m-factor to mitigate South Africa's carjacking and kidnapping pandemic

Über Autor(innen)

Abejide Ade-Ibijola is an academic who exemplifies the rare ability to translate theory into practice, research into product development, and innovation into commercialization and societal impact. Through a proven record of excellence, he has demonstrated how advanced artificial intelligence research can be transformed into tangible tools, sustainable enterprises, and public-good technologies. He currently serves as Professor of Artificial Intelligence and Applications at the Johannesburg Business School (JBS), University of Johannesburg, where he leads pioneering initiatives that bridge artificial intelligence, education, and innovation for societal transformation. He is the Founder and Chairman of GRIT Lab Africa NPC, a pan-African non-profit dedicated to training young people across Africa in programming, grit, and entrepreneurship. Recognised globally as one of Africa’s leading AI scholars, Professor Ade-Ibijola is ranked number one by Google Search as Africa’s Top Professor of Artificial Intelligence. He is an NRF-rated researcher, a two-time recipient of the Vice-Chancellor’s Distinguished Awards, and his profile is decorated with over 100 awards and recognitions. In 2025, he was appointed as the resource person to ECOWAS (Economic Community of West African States) on the use of big data and AI for regional development of 15 African countries; a strategy sponsored by the World Bank.

Solomon Oyelere is an Associate Professor of Computer Science at the University of Exeter, and a leading expert in pervasive and mobile computing, computer science education and Human-centered AI. Before joining University of Exeter, he was an Associate Professor in Pervasive and Mobile Computing at Luleå University of Technology, Sweden. He has also worked as a Postdoctoral researcher in the School of Computing, University of Eastern Finland, where he was a Principal investigator on a large-scale EU, Latin American and Caribbean project for the development of smart ecosystem for learning and inclusion.

Jude Odiakaosa Osakwe is an Associate Professor in the Department of Informatics at Namibia University of Science and Technology, where he has served since November 2018. With over two decades of academic experience, Prof. Osakwe holds a PhD in Informatics and has established himself as a leading scholar in digital transformation and information systems. His research expertise spans ICT in Education, Digital Health, Big Data Analytics, Data Governance, E-Government, Business Intelligence, and Cybersecurity. He has supervised numerous postgraduate students across Honours, Masters, and Doctoral levels, demonstrating exceptional commitment to nurturing emerging scholars. Prof. Osakwe has chaired multiple International Conferences on Information Systems and Emerging Technologies.His scholarly contributions include three book chapters, over 40 peer-reviewed journal articles, and more than 60 international and national conference publications. He has examined numerous doctoral and masters theses for institutions across Africa. Prof. Osakwe coordinates the Faculty Postgraduate Seminar and serves on key research committees, actively contributing to curriculum development and community service initiatives that advance digital innovation in developing nations.