Artificial Intelligence for Autonomous Networks

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5G
Ai Algorithm
AI System
Ananth Sankaranarayanan
Anestis Karasaridis
Anit Lohtia
Application Specific Integrated Circuits
Autonomous Cars
Autonomous Networks
blockchain applications
Brian Freeman
Brian Rexroad
Category=UYQ
Chris Metz
Chris Rice
Cloud Technology
cloud-native networking
Control Plane Functions
cyber security
cybersecurity strategies
Data Sets
David Ward
Deep Learning Models
EC
Edge Compute
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Eyal Felstaine
Indian ISBN
infrastructure monitoring
intelligent network traffic optimisation
IoT
IoT Device
IP Address
Jason Hunt
Jennifer Yates
Kathleen Meier-Hellstern
Laurie Bigler
Machine Learning
Mark Austin
Matt Dugan
Mattias Lidstrom
Michael Lanzetta
Michael Satterlee
microservices architecture
Ml Model
Mobile Edge Compute
network automation
network communication
Network Function Virtualization
NFV.
Ofer Hermoni
Open Source Software
Pat Velardo
Paul Bartoli
Physical Network Functions
Provider Edge Routers
Rajesh Gadiyar
Rittwik Jana
Sandeep Gupta
SDN
SDN Controller
Software Defined Network
software defined networks
Stephen Terrill
Sunil Dube
Tong Zhang
Vijay Gopalakrishnan
Virtual Machine
Wenjie Zhao
Wiley Wilkins
Zihui Ge

Product details

  • ISBN 9780815355311
  • Weight: 926g
  • Dimensions: 178 x 254mm
  • Publication Date: 02 Oct 2018
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds.

Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care.

With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.

Dr. Mazin Gilbert is the Vice President of Advanced Technology at AT&T Labs. He leads AT&T’s research and advanced technology of its software-defined network. In this role, Mazin oversees advancements in networking and IP network management, machine learning and artificial intelligence, information systems and visualization, algorithms and optimization, and scalable, reliable software platforms.

Mazin was previously the Assistant Vice President of Intelligence Services and Platform Research, where he and his team were responsible for using AT&T’s data and machine learning capabilities to build services that can transform the way we do things today. Mazin holds 170 U.S. patents in communication and multimedia processing and has published over 100 technical papers in human-machine communication. He is the author of the book titled, "Artificial Neural Networks for Speech Analysis/Synthesis."

Mazin is the technical chair for the Linux Foundation ONAP, where his organization is actively contributing code and leading over half of the TSC projects. Mazin and his team are co-founders of the open source projects on Acumos Deep Learning and Akraino EdgeStack that were recently announced by the Linux Foundation. They are also contributors to OpenStack, OPNFV, ODL, among others.

With more than three decades of experience under his belt, Mazin has worked in the industry at AT&T Labs and previously Bell Labs, BBC and British Telecom. He’s also worked in academia at Rutgers University, Princeton University and Liverpool University. He became an IEEE Fellow in 2012.

Mazin earned a bachelor’s and a doctoral degree, with first-class honors, in electrical engineering from the University of Liverpool. He also earned an MBA for Executives from the Wharton Business School of the University of Pennsylvania.

Outside of his technology career, Mazin is an entrepreneur owning six limited liability companies specializing in commercial and residential real estate and the dental industry. He also serves on a number of industrial boards including the International Computer Science Institute. In his free time, Mazin loves to spend time with his daughters and is an avid runner.