The AI Revolution in Networking, Cybersecurity, and Emerging Technologies (PDF)
AI is having a profound impact on nearly every sector of the workforce. Huge professional and financial opportunities await in the key...
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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
Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Samer Salam is a technology architect and software engineering leader in the computer networking industry with over 23 years of experience. In his role as a Distinguished Engineer at Cisco Systems, he focuses on identifying disruptive technologies based on market transitions, incubating and mainstreaming emerging technologies, in addition to defining the system and software architecture for networking products. His work spans the areas of Intent Based Networking, Artificial Intelligence, Machine Reasoning, Semantic Technologies and Immersive Visualization. Previously at Cisco, he held multiple technical leadership
Hazim Dahir, is a Distinguished Engineer at the Cisco Technology Enablement and Acceleration Office. He is working to define and influence next-generation digital transformation architectures across multiple technologies and verticals. Hazim started his Cisco tenure in 1996 as a software engineer and subsequently moved into the services organization focusing on large-scale and emerging technology network architectures. He is currently focusing on developing architectures utilizing security, collaboration, Edge computing, and AI technologies addressing future of work and hybrid cloud requirements for large enterprises. Through his passion for engineering and sustainability, Hazim is currently working on advanced software solutions for electric and autonomous vehicles with global automotive manufacturers. Hazim is a frequent presenter at multiple US and global conferences and standards bodies. He's the vice-chair for the IEEE Edge Computing workgroup. He has more than 20 issued and pending US and International patents, a number of R&D publications, and is the co-author of three technical books.
- Autoren: Omar Santos , Samer Salam , Hazim Dahir
- 2024, Englisch
- Verlag: Pearson ITP
- ISBN-10: 0138293619
- ISBN-13: 9780138293611
- Erscheinungsdatum: 05.02.2024
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 3.78 MB
- Ohne Kopierschutz
- Vorlesefunktion
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