Author Profile: Dr. Rachid Ejjami

About the Author

Dr. Rachid Ejjami is a distinguished AI modeler, researcher, educator, and expert in artificial intelligence, including machine learning, deep learning, and other emerging technologies. With a professional journey spanning several years, he has made profound contributions to AI-driven innovation, strategic workforce development, and interdisciplinary academic research. His work continues to shape the future of AI applications across various industries, including healthcare, finance, logistics, education, marketing, public administration, and beyond.

Dr. Ejjami holds a Doctorate and Executive MBA from École des Ponts Business School (Paris) and a Master's degree in Science & Technology from FSTE, Morocco. He further earned advanced certification in Artificial Intelligence and Machine Learning from the Massachusetts Institute of Technology (MIT, USA). His academic background integrates AI expertise, business strategy, and technology-driven transformation.

Professionally, Dr. Rachid Ejjami served as a Senior AI Modeler at Datacemia for over four years, where he led the development of advanced AI solutions across a broad range of sectors. His work involved designing and deploying intelligent systems tailored to real-world challenges in industries such as healthcare, finance, education, retail, energy, and logistics. At Datacemia, he played a critical role in translating complex data into actionable insights, enabling organizations to optimize operations, improve decision-making, and embrace digital transformation. His contributions played a pivotal role in establishing Datacemia as a reliable leader in AI-powered innovation across diverse industry sectors. He has also played a key policy advisory role with the Moroccan Ministry of Vocational Training and led the CAFP institute for 14 years as CEO and Director of Studies.

As Managing Director and Editor-in-Chief of the Journal of Next-Generation Research 5.0 (JNGR 5.0), Dr. Ejjami champions scholarly innovation and global academic collaboration. He is the architect of major AI theories including:

AI and Big Data Equitable Transformation Theory (ABETT)
Adaptive Human-AI Synergy in Logistics (AHASL) Theory
AI-Powered Legal Transformation Theory (AILT)
Holistic Intelligent Healthcare Theory (HIHT)
Ethical Artificial Intelligence Framework Theory (EAIFT)
AI-Enhanced Collaborative Theory (AIECT)

Dr. Ejjami has authored over 40 academic papers and case studies, contributing impactful insights into logistics, education, cybersecurity, healthcare, marketing, and .... He is also the author of several practical AI books, including:

Artificial Intelligence in Modern Insurance Practices
AI in Healthcare: A Practical Journey Through Machine Learning & Deep Learning
AI in Banking: Revolutionizing the Future of Finance

He continues to advocate for responsible, ethical, and inclusive AI, aiming to equip future generations with the tools to harness technology for sustainable, human-centered progress.

Most Notable Papers by the Author

Welcome to the “Most Notable Papers by the Author” section. This curated selection showcases a range of impactful research works authored by Dr. Rachid Ejjami. Each paper reflects his commitment to advancing the fields of artificial intelligence, digital transformation, and ethical innovation across multiple industries. Explore the list below to discover insights that shape the future of AI and emerging technologies.

The Holistic AI-Enhanced Marketing Framework Theory: Bridging Human Creativity and AI for Ethical Marketing
AI-Driven Justice: Evaluating the Impact of Artificial Intelligence on Legal Systems
The Digital Evolution Strategies for Overcoming Cybersecurity and Adoption Challenges in French SMEs
The Holistic Intelligent Healthcare Theory (HIHT): Integrating AI for Ethical, Transparent, and Human-Centered Healthcare Innovation
Emerging Professions in the Age of AI Across Multiple Sectors
Integrative Literature Review 5.0: Leveraging AI and Emerging Technologies to Redefine Academic Research
The AI and Big Data Equitable Transformation Theory (ABETT): A Pathway to Inclusive Development and Technological Empowerment
The Ethical Artificial Intelligence Framework Theory (EAIFT): A New Paradigm for Embedding Ethical Reasoning in AI Systems
Revolutionizing Knowledge Synthesis: Introducing AI-Enhanced Collaborative Theory (AIECT)
Marketing 5.0: Harnessing AI and Emerging Technologies to Shape the Future of Business
Revolutionizing Research Methodologies: The Emergence of Research 5.0 through AI, Automation, and Blockchain
Public Administration 5.0: Enhancing Governance and Public Services with Smart Technologies
Retail 5.0: Creating Resilient and Customer-Centric Shopping Experiences through Advanced Technologies
Industry 5.0 in Manufacturing: Enhancing Resilience and Responsibility through AI-Driven Predictive Maintenance, Quality Control, and Supply Chain Optimization
Resilient Supply Chains in Industry 5.0: Leveraging AI for Predictive Maintenance and Risk Mitigation
AI's Impact on Vocational Training and Employability: Innovation, Challenges, and Perspectives
Predicting Job Change Intentions for a Food Manufacturing Company: A Deep Learning Case Study
Enhancing User Experience Through Recommendation Systems: A Case Study in the E-Commerce Sector
The Future of Learning: AI-Based Curriculum Development
Leveraging AI to Enhance Marketing and Customer Engagement Strategies in the French Market
AI-Driven Healthcare in France
Integrating Artificial Intelligence for Enhanced Grid Stability and Renewable Energy Management in France: An Integrative Literature Review
AI-Driven Smart Cities in France
Machine Learning Approaches for Insurance Pricing: A Case Study of Public Liability Coverage in Morocco
AI-Powered Leadership in Moroccan Organizations: An Integrative Literature Review
Revolutionizing Moroccan Education with AI: A Path to Customized Learning
Optimizing In-Store Logistics: How AI Enhances Inventory Management and Space Utilization
Integrating Artificial Intelligence in Autonomous Cashier Systems: A Study on Functional Schema Design and Its Impact on Supermarket Operations
The Adaptive Human-AI Synergy in Logistics (AHASL) Theory
Enhancing Cybersecurity through Artificial Intelligence: Techniques, Applications, and Future Perspectives
The Adaptive Personalization Theory of Learning: Revolutionizing Education with AI
Launching AI Marketing Solutions for Small and Medium Enterprises in Morocco: A Teaching Case Study
Adopting Artificial Intelligence and Big Data Tools Across Industry Sectors in Morocco: An Integrative Literature Review
Leveraging AI Solutions for Digital Marketing by SMEs in Morocco: The Case of Datacemia