Next-Gen AI and Data Science: Advanced Models, Intelligent Analytics, and Real-World Deployment
Dr. P. Rizwan Ahmed, Sakkaravarthi Ramanathan, Preethi Ananthachari · Zenodo (CERN European Organization for Nuclear Research) · 2026
Artificial Intelligence (AI) and Data Science have become fundamental drivers of innovation in the modern digital era. Rapid advancements in computational power, data availability, and intelligent algorithms have enabled the development of sophisticated models capable of addressing complex real-world challenges across diverse sectors such as healthcare, finance, education, manufacturing, and smart cities. As these technologies continue to evolve, there is an increasing need to explore advanced methodologies and practical deployment strategies that translate theoretical innovations into impactful solutions. The edited volume “Next-Gen AI and Data Science: Advanced Models, Intelligent Analytics, and Real-World Deployment” aims to present recent developments and emerging trends in the field of artificial intelligence and data science. The chapters in this book bring together contributions from researchers, academicians, and industry practitioners, covering topics such as advanced machine learning models, deep learning techniques, intelligent analytics, big data processing, natural language processing, computer vision, and real-world AI applications. A key focus of this book is to highlight the transition from research-driven AI models to scalable and deployable solutions. Through a combination of theoretical insights, methodological approaches, and practical case studies, the chapters demonstrate how next-generation AI technologies can be effectively applied to solve real-world problems. We sincerely thank all the contributing authors and reviewers for their valuable efforts in shaping this volume. We also extend our appreciation to the publishing team for their support throughout the publication process. We hope this book will serve as a useful resource for researchers, students, and professionals interested in advancing knowledge and applications in AI and data science.