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Full Description
This book illuminates the transformative potential of the coming together of edge computing and generative AI in the mobile network space. Written for a dual readership with deep technical knowledge and senior strategic decision-makers, it addresses holistically the synergies of these two technologies to redefine the future of mobile communications. More broadly, it expands on how the symbiotic use of edge and cloud environments encourages innovative generative AI models. It then delves deep into how this symbiosis drives mobile networks toward an order of magnitude improvement in performance, efficiency, and intelligence. The objective of this book is focused on how edge-cloud generative AI will transform the mobile user experience to one of extreme personalization of recommendations and content delivery. It touches on important aspects of security and privacy, providing insights that can be extremely valuable for a sensitive consumer data protection approach in such dynamically changing environments. Further, this book elaborates on the complexity of Explainable AI enabling the reader to build trust in generative models and their ethical deployment. The audience gains insights into the methodologies of utilizing generative AI for network self-optimization and automation driving in-depth operational efficiencies. New applications are introduced by providing use cases, which range from highly improved augmented reality experiences to innovative mobile offerings. The final chapters provide adequate mechanisms for informed decision-making by giving extensive treatment on rigorous evaluation methodologies and benchmarking frameworks. This book focuses on the future vision regarding the transformational impact of edge-cloud generative AI on the mobile industry. Whether you are an experienced telecommunications professional, a data-driven innovator, or a strategic thinker, this book provides you with knowledge and tools to foreground the new opportunity coming from generative AI for edge-cloud settings and the next generation of mobile networks.
Contents
1. Mobile-Edge Generative AI for Centralized Processing Power.- 2. Generative AI for Emerging Applications in Mobile Networks.- 3. Transforming Mobile Applications: The Impact of Generative AI Technologies on Edge-Cloud Architectures.- 4. GENERATIVE AI FOR MOBILE NETWORK SELF-OPTIMIZATION AND AUTOMATION.- 5. Ensuring Scalability and Efficient Load Distribution in Edge Cloud AI for Dynamic Mobile Networks.- 6. Optimizing 6G Communication through Intelligent IoT and Edge Cloud Synergies.- 7. GENERATIVE ARTIFICIAL INTELLIGENCE FOR MOBILE NETWORK SELF-OPTIMIZATION AND AUTOMATION.- 8. OPTIMIZED EVALUATION AND BENCHMARKING FRAMEWORK FOR EDGE-CLOUD DEPLOYMENT OF GENERATIVE AI MODELS.- 9. Enhancing Edge Computing Security and Support during the COVID Delta Variant.- 10. Strategies for mitigating threats in Mobile Networks using secured Edge Cloud and Generative AI.- 11. Security and Privacy Considerations in Edge-Cloud Generative AI.- 12. EXPLAINABLE AI FOR TRUSTWORTHY GENERATIVE MODELS IN MOBILE NETWORKS.- 13. Unlocking AI's Future: How Explainable AI Fuels the Creative Power of Generative AI for a Transparent and Ethical Tomorrow.- 14. Edge-Cloud Generative AI for Mobile User Experience (UX) Personalization.- 15. The Future Role of Edge Cloud in Mobile Environments for AI-Driven Space Communication.- 16. SpeakSmart: Leveraging Multimodal AI for Enhanced Presentation Skill Development.
