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2019年4月9-12日 法国,巴黎,Marriott Conference Center

Wednesday 10 April Morning AI Net Day One Tracks 1+2+3

    Conference Room Level O

  • Registration and welcome coffee from 07.30
  • Start of the Conference 08.30
  • Exhibition open from 08.00 to 20.00
  • Seated Lunch: 12.30
  • End of Conference: 18.00
  • Social Event: 19.30

08.30 Opening Session
Service Providers Experiences with AI and Machine Learning

Amy Cameron, Senior Analyst, STL Partners

Amy is a Senior Analyst at STL Partners, where her research focuses on how telcos should approach new technologies like AI and blockchain and adjacent verticals such as healthcare.   Before joining STL in 2017, Amy was Head of ICT Research at BMI Research, as well as the lead analyst covering telecoms markets in the Middle East and Africa.  Amy speaks fluent French and intermediate level Mandarin and holds an MSc in Chinese Politics from the School of Oriental and African Studies.


Imen Grida Ben Yahia,
Expert in Future Networks, Orange Labs

Imen Grida Ben Yahia is currently with Orange Labs, France, as Orange Expert in Future Networks. She is leading a research project, on Autonomic & Cognitive Management for software networks. She received her PhD degree in Telecommunication Networks from Pierre et Marie Curie University in conjunction with Telecom SudParis in 2008.   Her current research interests are autonomic and cognitive management for software and programmable networks that include artificial intelligence for SLA and fault management, knowledge and abstraction for management operations, intent- and policy-based management. As such, she contributed to several European research projects like Servery, FP7 UniverSelf and the H2020 CogNet and authored several scientific conference and journal papers in the field of autonomic and cognitive management. Imen is Chair of the IEEE Technical Committee on Network Intelligence (ongoing). She is currently TPC chair of Netsoft 2018 and also a member of several TPCs and conference organizing committees.


Valery Augais,
Senior Network Architect, Colt

Valery Augais is a senior network architect in Colt’s Network On-Demand Architecture & Design team. He joined Colt’s engineering department in 1998 as an access and metro technologies specialist.  In the 2010’s he has been actively involved in: the design and roll-out of next-generation packet-based Carrier Ethernet networks and services; the modular integration of the optical, Ethernet and IP layers with the aim of simplifying the transport and service architectures; the evolution of the access network for a smarter mobile backhaul offering; the assessment and development of FTTx technologies and architectures for Colt. Since more recently his current research focus is on optical SDN services, Artificial Intelligence & Machine Learning, and NFV infrastructure.   Valery holds two M.Sc. degrees in Telecommunications and Computing from Telecom ParisTech and UPMC University, France.

09.30 Keynotes Session

Jim Guichard,
Distinguished Engineer, Huawei

Jim Guichard, a Distinguished Engineer and Head of IP protocol innovation at Huawei, is an experienced network and protocol architect with 25+ years of industry experience and expertise in areas such as Multiprotocol Label Switching (MPLS), IP routing, L3VPN’s, Software Defined Networking (SDN), Network Function Virtualization (NFV), and Service Chaining.   Jim is the inventor of 100+ US & international patents related to IP, MPLS, and network services, and is widely respected for his MPLS/IP, routing, SDN/NFV expertise. He is also the author of several books including “MPLS & VPN Architectures, volumes I & II” and “Definitive MPLS Network Designs”.


Kireeti Kompella, Juniper Networks

Michael Beesley,
CTO, SP Networking, Cisco

Sunil Khandekar,
Founder & CEO, Nuage Networks

Sunil leads the vision and direction at Nuage Networks, a Silicon Valley-based business that brings a combination of technologies and networking expertise to the enterprise and telecommunications industries.   He has built 15+ years of expertise in product management and consulting engineering in leadership roles working with the IP Division of former Alcatel-Lucent (now Nokia) and networking start-up TiMetra Networks, as well as Bay and Nortel Networks in New York and Santa Clara, California. His first professional job came before even earning his degree when he was able to convince a local company in his hometown to hire him as a design engineer during a university-wide strike.   Sunil believes that the key to successful leadership is having the ability to define your vision and inspire people to follow it. Nuage Networks’ success so far is due to hiring top talent and building a team of dedicated players focused on bringing new thinking to industry problems.  A co-author and contributor to multiple IETF drafts, he is also a regular speaker at industry events and conferences. He has a bachelor’s degree in mechanical engineering and a master’s degree in CIS.

Coffee Break / Exhibition / Interop Event

11.20 DEBATE
AI for Networks: Status and Perspectives
  • Current status of AI deployment in IP/MPLS networks
  • Where AI is actually being used today
  • What are the main short and middle term opportunities
  • How service providers and major enterprises will transform, both on technical and organizational side, to exploit the full potential of AI in our industry

Seated Lunch

Wednesday 10 April Afternoon AI NET Day One Track 3

    Conference Room AUDITORIUM Level -1

  • Exhibition open from 08.00 to 20.00
  • End of Conference: 18.00
  • Social Event: 19.30

Afternoon Chairperson
Amy Cameron, Senior Analyst, STL Partners

Amy is a Senior Analyst at STL Partners, where her research focuses on how telcos should approach new technologies like AI and blockchain and adjacent verticals such as healthcare.   Before joining STL in 2017, Amy was Head of ICT Research at BMI Research, as well as the lead analyst covering telecoms markets in the Middle East and Africa.  Amy speaks fluent French and intermediate level Mandarin and holds an MSc in Chinese Politics from the School of Oriental and African Studies.

14.00 From Automatic to Autonomic Networks Session
Describing an Autonomic Network
Higher levels of autonomicity can be reached by combining the automatic, aware and adaptive properties. Collectively, the four properties qualify an autonomic system and are referred to as the 4 ‘A’. Ultimately, this boils down to the essential coupling of automation with the intelligence that will drive it towards cognitive operation

Laurent Ciavaglia, Senior Research Manager, Nokia

Laurent works at Nokia Bell Labs in Paris, France inventing new technologies for networks, turning concepts into real-life innovations. Recently, he is having fun (and some headaches) trying to combine network management and artificial intelligence.  Laurent has been involved in and led several European research projects such as FP7-UNIVERSELF, developing a unified management framework for autonomic network functions.   Laurent serves as co-chair of the IRTF Network Management Research Group (NRMG), and participates in IETF, essentially in the OPS area. Previously, he was vice-chair of the ETSI ISG on Autonomics for Future Internet (AFI), working on the definition of standards for self-managing networks.   Laurent has been recently appointed Editor-in-Chief of the IEEE SDN initiative Softwarization newsletter, and acts as Standards Liaison Officer for the IEEE ComSoc Technical Committee on Autonomic Communications (TCAC).

Intent Based Networking Taxonomy: Art of the Industry and Where Are We Going
The end goal of Intent Networking is fully autonomous and self-operating network, capable of:
  • instantiation of business logic/intent
  • providing full life cycle, with continues verification of operational state being the intended state
  • telemetry and event driven self-reconfiguration at near real-time

Jeff Tantsura, Head of Networking Strategy, Apstra, Chairman, IETF Routing and RIFT WGs
Use AI to Implement Network Self-Driving
Describing how to introduce intelligent automation technologies in each phase of the network lifecycle, including network self-organizing, service self-configuration, performance self-optimization, fault self-diagnosis, and self-recovery.

Shen Yan, Senior Engineer, Huawei Technologies

Dr. Shen YAN, Senior Engineer of the Network Technology Laboratory, Huawei Technologies; in charge of standardization and promotion works in the Network Technology Laboratory.   He received his Ph.D. degree in Computer Science from Beijing University of Posts and Telecommunications 2014. He joined Huawei Technologies 2016, is now mainly working on Intelligence Driven Network, Network 5.0 research and standardization.   He is active in IETF, IRTF, and ETSI. He participates in WI6 (Intelligence-Defined Network) in ETSI/NGP ISG.

Are We Ready for Artificial Intelligence-assisted Network Orchestration and Management?
Discussing the network of the near future - networks that are designed and operated by humans, but assisted by Artificial intelligence (AI) “agents”. From automated operations to service design, AI can reduce management overheads and makes operations easier - the challenge lies is understanding exactly how much (and where) to apply AI...

Dr. Eyal Felstaine,
CTO, Amdocs

As CTO at Amdocs, Dr. Eyal Felstaine is responsible for planning and developing Amdocs’ technology vision and roadmap of the entire product portfolio. One of his focus points is the development and application of Acumos AI in the telco industry - Acumos is a platform and open source framework that makes it easy to build, share and deploy AI apps and its aim is to standardise the infrastructure stack and components required to run an out-of-the-box general AI environment. Acumos is part of the Linux Foundation Deep Learning Foundation of which Eyal is a member of the Deep Learning Governing Board Linux Foundation. Eyal also established Amdocs’ NFV group, developed and executed Amdocs’ award-winning NFV strategy (Light Reading), led the ECOMP co-creation program with AT&T around their software-centric Domain 2.0 vision of achieving 75% virtualization in their network by 2020, and took an active role in the creation of Linux Foundation’s ONAP working group - he continues to help drive ONAP’s path forward as a member of the governing board of Linux Foundation’s Network Group.   An innovator and entrepreneur by nature, Eyal has also co-founded and held CXO positions in several successful startups in the communications and evolved-packet core space. These include Traffix Systems, acquired by F5 Networks, Allot Communications [NASDAQ:ALLT] and SANRAD, acquired by OCZ Technology [NASDAQ: OCZ] (OCZ was later acquired by Toshiba Japan). He has also served as VP and head of Radware’s Cyber Security division [NASDAQ: RDWR]. An experienced speaker at industry conferences, Eyal has authored numerous refereed papers, holds over two dozen patents to his name, and has won several prestigious awards for research excellence in network security. Eyal holds a Ph.D., M.A.in Computer Science and B.Sc. in Electrical Engineering - from the Technion Israel Institute of Technology, and an MBA from Columbia University, NY.

Coffee Break / Exhibition / Interop Event
15.50 Use Cases Session Part 1
How can we apply Machine Learning/AI for Networking: a Pragmatic Approach
Reviewing several of the main challenges that tend to sometimes be overlooked. Several key use cases such as Security, Wireless and SD-WAN are discussed, showing how ML/AI can be used to solve such use case with results never achieved with “classic” technologies, both in the context of cognitive and predictive analytics.

JP Vasseur,
PhD, Head of ML/AI for Networking, Cisco Fellow
Practical Cases of Augmented Operations with Machine Learning
Adopting a new tool will only be possible if it can be exploited without adding significant human effort and time. Sharing some real-life operational cases addressed with this innovative technology.

Jean-Marc Uze,
Network Data Scientist, AIforNet
Machine Learning Networking at OVH

Alain Fiocco, Chief Technical Officer, OVH

16.50 Round Table
AI Platforms for IP Networks
AI platforms are frequently used by developers to create both the learning algorithm and intelligent application. It is fair to ask ourselves if a network operator will find value in such platforms to exploit the data they have, or if they need specialised platforms that understand the specific network domain; or even if they should not use any of these tools and just go for in-house platform developments.

This panel will bring together data science platform editors that will share their views and experience in dealing with network data, the challenges faced in this domain - and what added-values they are focusing on to help service providers and enterprise to empower their services with data, as well as the openness of their platform to a broader ecosystem (API, SDK, opensource etc.).

Participants from network vendors, niche players and Opensource platforms.


End of Conference Day One

20th Anniversary Reception

* 活动内容有可能不事先告知作更动及调整。