Towards Self Driven Networks / 10/12 April 2018 / Marriott Paris
Thursday 12 April 2018 | Conference Day Two

  • Registration and welcome coffee from 07.30
  • Start of the Conference 09.00
  • Exhibition open from 08.00 to 19.00
  • Seated Lunch: 12.30
  • End of Conference: 17.00

Jean-Marc Uzé, Network Data Scientist, AIforNet
AI, Network Virtualization and Automation at Scale
Looking at how specific AI techniques, combined with an abstracted network model, can solve real world issues related to optimization and automation at scale in multi-layer, multi-vendor networks. In particular, how this combination ultimately delivers the vision of adaptable, dynamic, intelligent, business-driven networks based on SDN and NFV. Discussing case studies and lessons learned from real world projects with global network operators.

Frankie Foston, Head of AI, Aria Networks

Frankie is a member of the CTO Office and the Head of Artificial Intelligence at Aria Networks, an innovative AI vendor who build products to extract the maximum value from both Traditional and SDN/NFV Networks.  An expert in Evolutionary Computing, Frankie has delivered AI-driven solutions to Tier 1 operators that drastically reduce both capital and operational expenditure.

Towards Intent-driven and Cognitive Networks
Managing communication networks will never be a trivial task, however it does not have to remain as complex as it is today. Designing, developing and deploying innovative technologies in the realm of Intent-Driven Networking will generate enormous gains in performance (doing things better and faster) and in functionality (enabling things previously impossible). But the task will not be easy. This talk will highlight the main challenges ahead and the key enablers in the realization of this vision of future networks. The presentation will make a synthesis of definitions and elements composing an archetypal solution for intent-driven networks by analyzing the work in standards, open source and research initiatives. Finally, an applicability to an IoT use case will illustrate some of the concepts developed in the talk.

Laurent Ciavaglia, Senior Research Manager, Nokia, Bell Labs

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).

Chatbots: Service Providers Case Studies
There’s no doubt that AI is a transformative technology, and chatbots are a focus for many telcos looking to benefit from it. We look at case studies from Telenor, Deutsche Telekom and AT&T to find telcos’ best path toward employing AI. Despite the hype, chatbots may not be the best first step.

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.

Coffee Break / Exhibition / Interop Event
Like Flocks of Birds: IoT Security at Scale using AI Techniques
Fortunately, IoT devices are not like humans, the vast majority of IoT devices are/will be simple, single-minded, and generally predictable. The problem is how to monitor and learn each of those IoT devices, or rather classes and types of IoT devices. Fortunately #2, IoT devices are more like flocks of birds. They move in large groups in the same direction, although unlike flocks of birds, they rarely make sudden changes in their direction or behavior.
Analytics and machine learning enhanced security of IoT networks is like an ornithologist watching flocks of birds: observe, identify, predict, and protect.

Steve Kohalmi,
Mobile Network Security Architect, Office of the CTO,
Juniper Networks

Steve Kohalmi is a Distinguished Engineer at Juniper Networks, focusing on mobile network security and the IoT. He is currently exploring the application of analytics and ML to those disciplines.   Steve is co-author of several patents and contributor to the 3GPP mobile security standards.

Operationalizing SDN
New technologies for the operationalization of SDN are required to remove the remaining market entry barriers. Introducing these enabling technologies. Recent innovation utilizing telemetry streaming, big data collection and analysis, and artificial intelligence in combination with machine learning is opening up efficient ways to monitor and operate networks and easing the burden of migrating to centralized SDN architectures.

Ulrich Kohn,
Director Technical Marketing, ADVA Optical Networking

Ulrich is Director of technical marketing at ADVA Optical Networking with responsibility for the companie`s One Network Edge program.  With over 25 years of experience in fixed and mobile networks, Ulrich is familiar with the challenges and pain points of today’s networks and is able to show how the latest technology provides answers and an economic, future-proof path forward.   Before joining ADVA Optical Networking in April 2013, he worked for Ericsson and Marconi Communications in management positions with Business Development, Network Strategy, Product Marketing and Technical Sales.

Applying AI to Optimize IP / Optical Transport Performance
Describing a novel approach that uses AI based system to predict the heavy flows based on a performance time series, and uses SDN controller to direct them to optical path hence minimizing network congestions and increasing the overall network performance

Nir Halachmi, Network Research Product Management, Huawei

Nir Halachmi is leading Network Research Product Management at Huawei European Research Center (ERC).   Nir is a subject matter expert for innovative 5G, SDN and NFV solutions, carriers and cloud technologies as well as Service Providers enterprise services and mobile backhaul (LTE 5G and small cells).   In his current role, Nir is focusing on innovation around SDN, NFV and 5G specifically focusing on 5G transport network slicing, Network Analytics and Next Generation Video / AR / VR.   Nir is also part of the OPNFV Marketing committee, as part of Huawei’s commitment to open source.   Nir had spent the past 18 years developing and managing telecommunications products within both the wired and the wireless industries, and has worked across various technologies including Carrier Ethernet, Circuit Emulation, MPLS, IP Networking, Wi-Fi and WiMAX, Cloud and Edge Computing, SDN and NFV.   Nir holds a Master's Degree in Computer Science from the Inter-Disciplinary Center (IDC) in Israel.

Seated Lunch

Proactive Service Restoration and the Role of Machine Learning
Advances in management software are enabling self-driving networks. Discussing one such self-driving network use case: In response to the threat of an optical interface failure, critical traffic is rerouted to other paths in the network before the link fails.

Cengiz Alaettinoglu,
CTO, Packet Design

Cengiz Alaettinoglu is a founding member of the company's R&D staff and provides technical direction for the product portfolio. His early experimental work, analyzing routing convergence and scalability properties, and correlating network performance issues to routing protocol incidents, lead to the creation of route analytics technology and the Packet Design product suite. He is currently working on real-time SDN analytics and orchestration applications that intelligently satisfy path and bandwidth demands without negatively impacting other services.   Prior to Packet Design, Cengiz was with USC's Information Sciences Institute where he worked on the Routing Arbiter project. He was co-chair of the IETF's Routing Policy System Working Group, has been published widely, and is a popular lecturer at industry events worldwide.   He holds a BS in Computer Engineering from Middle East Technical University, Ankara, and a MS and PhD in Computer Science from the University of Maryland

Network Telemetry: The Foundation of Big Data Analytics
Introducing telemetry, a new technology for freeing network data. Discussing the origins and applications of telemetry, some hard-won lessons and the eco-system of open-source and commercial tools that enable you to turn data into insights. Telemetry brings speed and scale to network monitoring, transforming the landscape into a big data analytics playground.

Kumar Reddy,
Director, Technical Marketing Engineering, Cisco

Kumar Reddy is Senior Director in charge of SP Network Software and Automation architecture. He is responsible for driving new software technology and products around IOS-XR.

Coffee Break / Exhibition / Interop Event
Turning Analytics and Network Automation into a Revenue Engine for Carriers
Services assurance process and the value analytics delivers in improving the quality assurance.
What to expect from analytics for improved carrier revenue.
Defining step-up service plans above the existing commercial offers with features enabled by analytics and automation to deliver higher value to the service user.
Indicative case studies showing numerical values of the above.

Niloufar Tayebi, Director, Global Consulting Enterprise & Cloud Services, Ciena

Niloufar Tayebi is Director, Global Consulting Enterprise and Cloud Services, at Ciena. She specializes in managed services and is adept in services strategies, enterprise and wholesale market analysis and business case modeling.   Niloufar has more than 20 years of experience in the telecommunications starting her career as a network architecture, has held leading roles in 4G wireless networking and carrier core product marketing and planning.   In her role in Ciena she is responsible as a global consultant for helping service providers to create new services and drive new business models leveraging Software Defined Networking (SDN) and Network Function Virtualization (NFV) with Ciena’s Blue Planet network virtualization, orchestration, and management software.   Niloufar holds a Master’s degree in Electrical Engineering from University of Ottawa, Canada. She lives in Ottawa, Ontario.

Towards zero-touch Analytics
Considering how we can efficiently build pipelines for network data analytics, that enable us to apply advanced analytics at scale with zero-touch. Presenting real-world use cases to illustrate how this can be achieved, using open source software to dynamically analyse telemetry data and provide insights in real-time.

Donald Hunter, Principal Engineer, Cisco

What has been realised
What remains to be done
What are the perspectives


Dean Bubley,
Disruptive Analysis

End of the Conference