Next-Gen AI and Data Science: Advanced Models, Intelligent Analytics, and Real-World Deployment

Title: Next-Gen AI and Data Science: Advanced Models, Intelligent Analytics, and Real-World Deployment

Editors:

• Dr. P. Rizwan Ahmed, Associate Professor & Head, Dept of Computer Applications, Data Science and PG & Research Dept of Computer Science, Mazharul Uloom College (Autonomous), Tamil Nadu, India
• Dr. Sakkaravarthi Ramanathan, Professor, Computing Science and Engineering, Vanier College, Montreal, Canada
• Dr. Preethi Ananthachari, Professor, Department of AI & Big Data, Endicott College of International Studies, Woosong University, Daejeon, South Korea

Publisher: Cogniverse Press, Nakari Gaon, Borigaon Siding, Jorhat, Assam, India

First Edition: March 2026

DOI: https://doi.org/10.5281/zenodo.19005652

ISBN: 978-93-47652-87-5 (Print Edition)

e-ISBN: 978-93-47652-99-8 (Digital Edition)

Editor-in-Chief: Dr. P. Rizwan Ahmed

Co-Editors: Dr. Sakkaravarthi Ramanathan, Dr. Preethi Ananthachari

Published By: Cogniverse Press, Jorhat, Assam, India

Cover Designing: Cogniverse Press Digital Team

Copyright: © Authors

Disclaimer: The views, interpretations, and research findings presented in this publication are solely those of the respective authors. The editors and the publisher bear no responsibility or liability for the accuracy, completeness, or validity of the content herein.

Printed At: Cogniverse Press, Nakari Gaon, Borigaon Siding, Jorhat, Assam, India

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” presents 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.

The editors express sincere gratitude to all contributing authors and reviewers for their valuable efforts in shaping this volume. Appreciation is also extended to the publishing team for their continuous support throughout the publication process.

This book is expected to serve as a valuable resource for researchers, students, academicians, and professionals interested in advancing knowledge and applications in AI and data science.

Dr. P. Rizwan Ahmed
Editor-in-Chief

• Advanced Artificial Intelligence Models
• Machine Learning and Deep Learning Techniques
• Intelligent Analytics and Predictive Systems
• Big Data Processing and Cloud Computing
• Natural Language Processing
• Computer Vision Applications
• Cybersecurity and Cryptographic Systems
• AI in Healthcare and Public Health
• Smart IoT Technologies and Digital Transformation
• Real-World AI Deployment Strategies