Agents secure software defined networking par mehta het (25 résultats)
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
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Paperback. Etat : New. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reveals how AI…agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
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Vendeur : Rarewaves USA, HEBRON, KY, Etats-UnisRarewaves USA
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Paperback. Etat : New. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reveals how AI…agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
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Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, AllemagneRheinberg-Buch Andreas Meier eK
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EUR 64,19
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Taschenbuch. Etat : Neu. Neuware -This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reve…als how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. 304 pp. Englisch.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Etat : Neu. Neuware -This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reve…als how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. 304 pp. Englisch.
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Vendeur : Wegmann1855, Zwiesel, AllemagneWegmann1855
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EUR 64,19
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Taschenbuch. Etat : Neu. Neuware -This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reve…als how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
Edité par Apress, 2026
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Vendeur : Books From California, Simi Valley, CA, Etats-UnisBooks From California
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Ajouter au panierpaperback. Etat : Very Good.
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Vendeur : Rarewaves USA United, HEBRON, KY, Etats-UnisRarewaves USA United
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EUR 79,93
EUR 42,78 expéditionExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : New. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reveals how AI…agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
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Vendeur : preigu, Osnabrück, Allemagnepreigu
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Taschenbuch. Etat : Neu. AI Agents for Secure and Software-Defined Networking | Harnessing AI and SDN to Revolutionize Modern Work Environments | Het Mehta | Taschenbuch | xxxi | Englisch | 2026 | Apress | EAN 9798868823572 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14…197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
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Taschenbuch. Etat : Neu. Neuware -This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reve…als how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 270 pp. Englisch.
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Etat : New.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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EUR 64,19
EUR 62,88 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Taschenbuch. Etat : Neu. Neuware - This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book rev…eals how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
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Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
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Paperback. Etat : New. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reveals how AI…agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense.
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Vendeur : Books-by-Floh, Paderborn, AllemagneBooks-by-Floh
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EUR 64,19
EUR 105,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Taschenbuch. Etat : Neu. Neuware -This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enough-this book reve…als how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniques-including reinforcement learning, graph neural networks, and explainable AI-can achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystems-essential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. 304 pp. Englisch.
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
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EUR 43,86
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Paperback. Etat : new. Paperback. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enoughthis book revea…ls how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniquesincluding reinforcement learning, graph neural networks, and explainable AIcan achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystemsessential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Vendeur : Brook Bookstore On Demand, Napoli, NA, ItalieBrook Bookstore On Demand
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EUR 50,23
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Etat : new. Questo è un articolo print on demand.
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Paperback. Etat : new. Paperback. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enoughthis book revea…ls how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniquesincluding reinforcement learning, graph neural networks, and explainable AIcan achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystemsessential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Vendeur : Biblios, frankfurt am main, HESSE, AllemagneBiblios
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Paperback. Etat : new. Paperback. This book explores how Artificial Intelligence (AI) and Software-Defined Networking (SDN) can transform the way modern networks are designed, secured, and operated. In an era shaped by cloud computing, IoT, 5G, and edge computing, traditional network management is no longer enoughthis book revea…ls how AI agents bring autonomy, intelligence, and adaptability to meet these challenges.The book starts with the foundational concepts in AI and SDN, guiding readers toward advanced architectures and real-world applications. It examines urgent needs such as scalable, self-healing networks and proactive cybersecurity, showing how AI techniquesincluding reinforcement learning, graph neural networks, and explainable AIcan achieve intent-based networking, cognitive healing, federated learning, and intelligent automation. Each chapter combines conceptual overviews with detailed discussions, case studies, and actionable insights, making it accessible to students, researchers, engineers, and decision-makers alike. It bridges technical depth with broader considerations such as ethics, governance, energy efficiency, and disaster recovery. It unifies AI and networking into a single, practical framework rather than treating them as separate fields. The inclusion of curated resources, from books and blogs to courses and glossaries, supports ongoing learning beyond the text itself. This book serves as a roadmap, guiding readers in designing intelligent, secure, and adaptive network ecosystemsessential for those aiming to lead the next generation of decentralized, resilient, and AI-driven digital infrastructure.What you will learn:Understand core AI-agent architectures and their integration with Software-Defined Networking for scalable, adaptive environments.How to use ML, deep learning, reinforcement learning, and graph neural networks to optimize, automate, and secure networks.How to develop AI-enabled networks with real-world case studies from telecom, smart cities, and enterprise IT.Explore trends like federated learning, edge AI, programmable optical networks, and AI-driven disaster recoveryWho this book is for:This book serves network architects and engineers using AI-driven automation to solve scalability and complexity challenges. It guides AI researchers and data scientists applying advanced methods for smarter, more efficient networks. Security professionals will also find value in AI-driven threat detection, incident response, and collaborative defense. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
