Buch, Englisch, 352 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: River Publishers Series in Communications and Networking
Buch, Englisch, 352 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: River Publishers Series in Communications and Networking
ISBN: 978-87-7022-863-3
Verlag: River Publishers
End-to-end automation in telecommunications is a challenging yet critical industry objective, representing collective vision for technology evolution in the coming years. Key enablers for achieving this include the expression and the translation of high-level business goals (e.g. intents) into actionable and impactful operations, the deployment and interaction between closed loops, real-time data management, the extraction of meaningful insights from data, ML-driven analytics and intelligence, and seamless orchestration and resource control. Automation processes must be transparent, reliable and robust.
This book provides a comprehensive insight into the automation journey. It explores the vision of zero-touch, AI-native network and service autonomy, examining the key trends, catalysts, and technological advancements shaping this paradigm shift. It provides a comprehensive analysis of critical aspects such as data and knowledge management, security and trust, native AI/ML management, intent-based automation, and human-to-machine as well as machine-to-machine interfaces. By delving into advanced concepts such as data-driven, AI-powered analytics, semantic and decision models, network digital twins, and the role of natural language processing and large language models, the book bridges theory and practical application. It highlights how these innovations leverage and maximize intent-driven and closed-loop automation, enabling seamless, intelligent, and autonomous networks. Additionally, it identifies key areas where further research is needed to address existing gaps and unlock the full potential of these technologies.
Ultimately, this book provides valuable insights, outlining the transformative potential of zero-touch, AI-native networks and paving the way for seamless, intelligent, and autonomous management of networks and services, driving innovation, efficiency, and new opportunities in the evolving digital landscape.
Zielgruppe
Academic, Postgraduate, and Professional Practice & Development
Autoren/Hrsg.
Weitere Infos & Material
1. Trends and Catalysts 2. Technology, Industry and Industry Landscape 3. Data and Knowledge Management 4. Security, Trust and Integrity 5. Native AI/ML and Related Management Aspects 6. Intent-based Management 7. Closed-loop Automation 8. Human-to-Machine, Machine-to-Human and Machine-to-Machine Interfaces 9. Intent Interface Evolution, the Role of Natural Language Processing and Large Language Model 10. State Models 11. Semantic Models and Semantic Composition 12. Decision Models 13. Network Digital Twin 14. Summary and Outlook