AI-Driven Autonomous Networks: A Strategic and Technical Guide (English Edition) odf de graça baixar
por Matias German Lambert
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Descrição do livro
Telecommunications networks are reaching a breaking point. The explosion of technologies like 5G, edge computing, virtualization, and cloud-native architecture has introduced a level of complexity that can no longer be managed by traditional, manual operations. At the same time, customer expectations, cost pressures, and time-to-market demands are rising dramatically. In this context, autonomy is no longer optional — it’s inevitable. This book is a strategic and technical guide for building autonomous networks, written by an engineer who has spent decades helping CSPs and MSPs modernize their operations. From the foundations of automation and AI to domain-specific use cases and operating model transformation, the book offers a full-stack perspective on how to transition from reactive to intelligent, self-optimizing networks. You’ll explore: • The differences between automation and autonomy — and why both are essential • TM Forum’s levels of autonomy and how they compare to the automotive industry’s self-driving standards • The four foundational capabilities of an autonomous network: sensing, understanding, decision-making, and action • The role of AI agents as operational intelligence units, their training, governance, and coordination • The modular construction of autonomy — how reusable closed loops (“bricks”) form scalable architectures • Cross-domain orchestration and the real-world lessons from Catalyst projects • Infrastructure evolution: from inventory federation to programmable, intent-aware layers • The cultural shift: agile operations, continuous delivery, and human-in-the-loop oversight • Governance models to ensure explainability, traceability, and strategic alignment • A vision for the future: from closed systems to open ecosystems, from control to collaboration More than just a roadmap, this is a call to action for telco professionals, engineers, architects, and executives who want to lead the evolution of their networks — and their organizations.
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