Artificial Intelligence for Autonomous Networks
Herausgeber: Gilbert, Mazin
Artificial Intelligence for Autonomous Networks
Herausgeber: Gilbert, Mazin
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This book introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. It reviews the network of the future enabled by AI and software-defined network as well as the applications that will transform our society both in communication and entertainment.
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This book introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. It reviews the network of the future enabled by AI and software-defined network as well as the applications that will transform our society both in communication and entertainment.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 392
- Erscheinungstermin: 2. Oktober 2018
- Englisch
- Abmessung: 257mm x 183mm x 28mm
- Gewicht: 885g
- ISBN-13: 9780815355311
- ISBN-10: 0815355319
- Artikelnr.: 53215648
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: CRC Press
- Seitenzahl: 392
- Erscheinungstermin: 2. Oktober 2018
- Englisch
- Abmessung: 257mm x 183mm x 28mm
- Gewicht: 885g
- ISBN-13: 9780815355311
- ISBN-10: 0815355319
- Artikelnr.: 53215648
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
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.
1. The Role of Artificial Intelligence (AI) for Network Automation &
Security 2. Machine Learning, Deep Learning, Artificial Intelligence 3. The
Shift to a Software Defined Network 4. Blockchain and Cryptography for
Secure Information Sharing 5. Building the Autonomous Networks of the
Future 6. Role of Open Source, Standards and Public Clouds in Autonomous
Networks 7. Machine-learning, Containers, Cloud-natives and Micro-services
8. Artificial Intelligence Software and Hardware Platforms 9. Artificial
Intelligence for Network Operation 10. Artificial Intelligence for Cyber
Security 11. Artificial Intelligence for Enterprise Networks 12. Artificial
Intelligence for 5G+, Edge Compute and IoT 13. Artificial Intelligence for
Infrastructure Monitoring and Traffic Optimization 14. Artificial
Intelligence for Customer Experience and Care 15. New Artificial
Intelligence Frontiers for Autonomous Networks
Security 2. Machine Learning, Deep Learning, Artificial Intelligence 3. The
Shift to a Software Defined Network 4. Blockchain and Cryptography for
Secure Information Sharing 5. Building the Autonomous Networks of the
Future 6. Role of Open Source, Standards and Public Clouds in Autonomous
Networks 7. Machine-learning, Containers, Cloud-natives and Micro-services
8. Artificial Intelligence Software and Hardware Platforms 9. Artificial
Intelligence for Network Operation 10. Artificial Intelligence for Cyber
Security 11. Artificial Intelligence for Enterprise Networks 12. Artificial
Intelligence for 5G+, Edge Compute and IoT 13. Artificial Intelligence for
Infrastructure Monitoring and Traffic Optimization 14. Artificial
Intelligence for Customer Experience and Care 15. New Artificial
Intelligence Frontiers for Autonomous Networks
1. The Role of Artificial Intelligence (AI) for Network Automation &
Security 2. Machine Learning, Deep Learning, Artificial Intelligence 3. The
Shift to a Software Defined Network 4. Blockchain and Cryptography for
Secure Information Sharing 5. Building the Autonomous Networks of the
Future 6. Role of Open Source, Standards and Public Clouds in Autonomous
Networks 7. Machine-learning, Containers, Cloud-natives and Micro-services
8. Artificial Intelligence Software and Hardware Platforms 9. Artificial
Intelligence for Network Operation 10. Artificial Intelligence for Cyber
Security 11. Artificial Intelligence for Enterprise Networks 12. Artificial
Intelligence for 5G+, Edge Compute and IoT 13. Artificial Intelligence for
Infrastructure Monitoring and Traffic Optimization 14. Artificial
Intelligence for Customer Experience and Care 15. New Artificial
Intelligence Frontiers for Autonomous Networks
Security 2. Machine Learning, Deep Learning, Artificial Intelligence 3. The
Shift to a Software Defined Network 4. Blockchain and Cryptography for
Secure Information Sharing 5. Building the Autonomous Networks of the
Future 6. Role of Open Source, Standards and Public Clouds in Autonomous
Networks 7. Machine-learning, Containers, Cloud-natives and Micro-services
8. Artificial Intelligence Software and Hardware Platforms 9. Artificial
Intelligence for Network Operation 10. Artificial Intelligence for Cyber
Security 11. Artificial Intelligence for Enterprise Networks 12. Artificial
Intelligence for 5G+, Edge Compute and IoT 13. Artificial Intelligence for
Infrastructure Monitoring and Traffic Optimization 14. Artificial
Intelligence for Customer Experience and Care 15. New Artificial
Intelligence Frontiers for Autonomous Networks