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In the rapidly evolving era of intelligent communication systems and digital transformation, Optimizing NextGen Communication Networks with Decision Analytics 1 explores the technologies reshaping enterprises, healthcare, finance, education and society. It brings together research and practical innovations in artificial intelligence (AI), cloud computing, big data analytics, machine learning, smart enterprise systems, immersive technologies and sustainable digital practices.
This book highlights scalable architectures for real-time data processing, AI-driven automation, cloud optimization, smart retail analytics, cybersecurity, healthcare intelligence and financial prediction models. It also examines emerging themes such as augmented reality, sustainability, inclusive digital ecosystems, organizational transformation and predictive decision-making through intelligent analytics.
Integrating theoretical foundations with practical applications and case studies, this book is a valuable resource for researchers, academics, industry professionals, policymakers and postgraduate students interested in next generation intelligent systems and decision analytics.
Devasis Pradhan is the Assistant Director of Research at Acharya Institutes, and the Dean of Research at the Acharya Institute of Technology, Bangalore, India. His research specializes in AI, communication networks, computational intelligence, data analytics and emerging digital technologies.
Hla Myo Tun is the Rector of Yangon Technological University, Myanmar. His research specializes in intelligent systems, engineering technologies, data analytics and next-generation communication infrastructures.
David Banjerdpongchai is a Professor at Chulalongkorn University, Thailand. His research specializes in advanced computing, AI, smart technologies and interdisciplinary engineering applications.
Prasenjit Chatterjee is a Professor and Dean (Research and Consultancy) at MCKV Institute of Engineering, India. His expertise specializes in decision analytics, sustainable systems, operations management and AI-driven engineering innovation.
| Publication Date: | 02 November 2026 |
| Publisher: | Wiley |
| Imprint: | Wiley-ISTE |
| ISBN-13: | 9781836690597 |
| Format: | Hardback |
| Page Count: | 304 |