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The AI Revolution in Networking, Cybersecurity, and Emerging Technologies

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Description

  • Copyright 2024
  • Dimensions: 7-3/8" x 9-1/8"
  • Pages: 224
  • Edition: 1st
  • Book
  • ISBN-10: 0-13-829369-4
  • ISBN-13: 978-0-13-829369-7

The AI Revolution is Here. Discover its Dynamic Applications in Networking, Cybersecurity, and More.

AI is having a profound impact on nearly every sector of the workforce. Huge professional and financial opportunities await in the key domains of computer networking, cybersecurity, IoT, and cloud computing. The AI Revolution in Networking, Cybersecurity, and Emerging Technologies will give you the edge you need to harness AI for your benefit. Learn how AI can efficiently identify shadow data, fortify security measures, generate predictive analytics in real time, and so much more.

In this comprehensive guide, Cisco professionals Omar Santos, Samer Salam, and Hazim Dahir engage you in both AI application and theory through practical case studies and predictions of future trends, which makes this book not just a valuable guide for today, but an indispensable resource for tomorrow.

You'll discover how AI is building robust bridges in collaboration tools and turning IoT into a super-intelligent network of devices so you can quickly identify and resolve network security threats while enhancing network performance. This book will show you how AI can help you modernize and fortify your operations and make yourself a key asset to your company.

Are you ready to join The AI Revolution in Networking, Cybersecurity, and Emerging Technologies?

  • Gain industry-specific knowledge from experienced professionals
  • Discover new capabilities like self-healing networks and predictive analytics
  • Learn how AI can save time by detecting and correcting issues in real time
  • Master techniques for security monitoring and alerting
  • Understand potential security and privacy pitfalls of using AI, and how to guard against them
  • Understand how AI works for you and with you

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Table of Contents

Preface  xix


Chapter 1. Introducing the Age of AI: Emergence, Growth, and Impact on Technology   1

The End of Human Civilization   2

Significant Milestones in AI Development (This Book Is Already Obsolete)    2

The AI Black Box Problem and Explainable AI   5

What's the Difference Between Large Language Models and Traditional Machine Learning?    6

Hugging Face Hub: A Game-Changer in Collaborative Machine Learning   12

AI's Expansion Across Industries: Networking, Cloud Computing, Security, Collaboration, and IoT   14

AI's Impacts on the Job Market   15

AI's Impacts on Security, Ethics, and Privacy   17

Summary   30

References   31



Chapter 2. Connected Intelligence: AI in Computer Networking   33

The Role of AI in Computer Networking   34

AI for Network Management   37

AI for Network Optimization   45

AI for Network Security   49

AI for Traffic Classification and Prediction   52

AI in Network Digital Twins   54

Summary   55

References   56


Chapter 3. Securing the Digital Frontier: AI's Role in Cybersecurity   59

AI in Incident Response: Analyzing Potential Indicators to Determine the Type of Attack   59

AI in Vulnerability Management and Vulnerability Prioritization   71

AI in Security Governance, Policies, Processes, and Procedures   73

Using AI to Create Secure Network Designs   74

AI and Security Implications of IoT, OT, Embedded, and Specialized Systems   75

AI and Physical Security   76

AI in Security Assessments, Red Teaming, and Penetration Testing   77

AI in Identity and Account Management   80

Using AI for Fraud Detection and Prevention   86

AI and Cryptography   87

AI in Secure Application Development, Deployment, and Automation   90

Summary   93

References   94


Chapter 4. AI and Collaboration Building Bridges, Not Walls   95

Collaboration Tools and the Future of Work   96

AI for Collaboration   101

The Contact Center: A Bridge to Customers   109

AR/VR: A Closer Look   113

Affective Computing   116

Summary   116

References   117


Chapter 5. AI in the Internet of Things (AIoT)    119

Understanding the IoT Landscape   120

AI for Data Analytics and Decision Making   122

AI for IoT Resource Optimization   125

AI for IoT in Supply Chain   127

AI for IoT Security   130

AI for IoT in Sustainability   133

Summary   137

References   137


Chapter 6. Revolutionizing Cloud Computing with AI   139

Understanding the Cloud Computing Environment   139

AI in Cloud Infrastructure Management   145

AI for Cloud Security   147

AI for Cloud Optimization   151

AI and Machine Learning as a Service   153

Challenges of AI and Machine Learning in the Cloud   158

What Lies Ahead   158

References   159


Chapter 7. Impact of AI in Other Emerging Technologies   161

Executive Order on the Development and Use of Artificial Intelligence   162

AI in Quantum Computing   163

How AI Can Revolutionize Quantum Hardware Optimization   167

Data Analysis and Interpretation   168

AI in Blockchain Technologies   169

AI in Autonomous Vehicles and Drones   175

AI in Edge Computing   175

Summary   183

References   184


Index   185

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