Experiences and Best-practices - GIIEvent

Experiences and Best-practices in Operational Networks The 3rd Edition of AI Net Conference will now take place from 30th June to 2nd July 2020.

The conference will confirm its position as a leader event in AI and Machine Learning applied to the telecom area.

The 2020 program gives a large importance to ML & AI potential for network operations.Use cases, addressed by large carriers, illustrate how machine learning helps to reduce from thousands of events to a handful of meaningful situations.Predictive maintenance and anomaly detection with machine learning and AI algorithms in IP/MPLS domain are given a special insight.

The sessions: DevOps, Operational Use Cases, Smart Telemetry, Reinforcement Learning, Self Healing NetworksThe conference starts with a focus on service providers experience with DevOps. The session is followed by the debate “AI Ops : Evolution or Revolution”.

Other sessions address in detail operational prospective aspects of AI/ML:Smart Telemetry, or Intent Based Analytics demonstrate how one must avoid “dump telemetry”, trying to get as much data as possible and then doing nothing with it, since it is too late and lacks context.Reinforcement Learning, where an agent chooses actions in order to maximize the rewards given by a dynamic environ-ment.In the Self Healing Networks experts demonstrate how the network must evolve from a static resource system to a flexible and dynamic system that can meet business objectives and service agility.

A Strong Presence of Service ProvidersService providers like Orange, Telefonica, Deutsche Telekom, Turk Telekom and Vodafone discuss deployment challenges that are facing customers when exploring and implementing AI-based solutions for their operations.

A Tutorial on ML/DL for Anomaly Detection on Network DataThe tutorial covers end to end machine learning including and deep learning techniques applied to Network Data. The goal is to share a methodology that sketches all the steps from raw data transformation and visualization to model genera-tion and application including performance evaluation.

75+ Countries RepresentedWith 1,600+ participants, the 21st edition of MPLS + SDN + NFV World reached the record attendance of last year. This renewed success makes the Paris Congress a unique venue for sharing ideas from across the industry. MPLS + SDN + NFV World remains the place to be for a preview of the next big thing.

55 % of the delegates came from operators and enterprises. With 75 countries represented, the Congress confirmed its growing internationalization.

PAGE 03

TUESDAY 30 JUNE TUTORIAL

• Registration and welcome coffee from 07.30• Start of the First Tutorial 10.00• Exhibition open from 08.00 to 19.00• Seated Lunch: 12.30• End of the Tutorials: 18.00

ML/DL Tutorial presented by Orange Labs Representants

14.00 ML/DL for Anomaly Detection on Network DataThe tutorial covers end to end machine learning including deep learning tech-niques applied to Network Data. The goal is to share a methodology that sketches all the steps from raw data transformation and visualization to model generation and application including performance evaluation.

17.00 End of the Tutorial

© 1994-2020 by Upperside Conferences. All rights reserved. PAGE 4

MORNING CHAIRMANRoy Chua, Founder and Principal at AvidThink

08.30 OPENING SESSIONAI & ML Opps : Service Providers Experiences

8.30

Mike Fratto, Senior Analyst, Applied Infrastructure and Dev Ops, 451 Research

8.50

Steve Jarrett, Senior Vice President, Data and Artificial Intelligence, Orange

9.10

Diego R. Lopez, Chair of ETSI NFV ISG, Co-chair of IRTF’s NFVRG, Senior Technology Expert, Telefonica I+D

09.30 KEYNOTES SESSION9.30

Sunil Khandekar, Founder & CEO, Nuage Networks

9.50

Michael Beesley, CTO, SP Networking, Cisco

10.10

Kireeti Kompella, Juniper Networks

10.30

Jim Guichard, Distinguished Engineer, Huawei

10.50

David Allan, Distinguished Engineer, Ericsson

11.10 Coffee Break / Exhibition / Interop Showcas

11.40 DEBATE

AI Opps: Evolution or Revolution?

MODERATORRoy Chua, Founder and Principal at AvidThink


Steve Jarrett, Senior Vice President, Data and Artificial Intelligence, Orange

Diego R. Lopez, Chair of ETSI NFV ISG, Co-chair of IRTF’s NFVRG, Senior Technology Expert, Telefonica I+D

JP Vasseur, PhD, Head of ML/AI for Networking, Cisco Fellow

Laurent Ciavaglia, Innovation and Standardization Expert, Nokia

12.30 Seated Lunch

PAGE 5© 1994-2020 by Upperside Conferences. All rights reserved.

WEDNESDAY 1 JULY MORNING CONFERENCE DAY ONE TRACKS 1+2+3

• Registration and welcome coffee from 07.00• Start of the Conference 08.30• Exhibition open from 08.00 to 20.00• Seated Lunch: 12.30• Welcome reception: 19:00

AFTERNOON CHAIRMANMike Fratto, Senior Analyst, Applied Infrastructure and Dev Ops, 451 Research

ML/AI POTENTIAL FOR NETWORK OPERATION SESSION

14.00 Democratizing ML/AI for Network OperationMachine Learning and Artificial Intelligence is a technology area with lots of potential in network operations, however there is a high entry

barrier for network engineers. As an Industry we have the challenge of making these technologies more broadly available and applicable for network engineers. Explai-ning the approach we propose for this.

Javier Antich Romaguera, Juniper Networks

14.20 Key AI Application Scenarios and Technologies in the Carrier FieldAlways-on services made possible by an intelligent O&M system with

proactive SLA awareness. Service perception and accelera-tion enabled by traffic identification. Improved network utilization through intelligent global optimization. Intelligent network forecast, including traffic and fault forecast.

Xiaofei Wang, Senior Network Solution Architect, Huawei

14.40 Role of AI in IP Transport NetworksAI and machine learning play an integral role in managing the complexity and providing a practical way to orches-trate the 5G transport network.

Antonella Sanguineti, Head of IP Optical, Ericsson

15.00 Overcoming AI Bias and Other Barriers to AI Adoption with Service Performance AnalyticsTo combat AI bias and facilitate AI adoption, CSPs must work with high quality data and the right analytics tools.• Operator AI deployment plans • Types of AI bias • Potential challenges

for virtualized network operators, with some real-world examples • Best practices for overcoming AI bias and other operational AI challenges

Tom Foottit, Senior Director of Product Line Management, Accedian

15.20 IoT Cybersecurity with Natural Language ProcessingPresenting a novel technique for securing large and heterogeneous IoT deployments by leveraging modern Natural Language Processing (NLP)

techniques. How can higher-order networking concepts be modeled? What is a TCP packet? How do packets towards port 53/udp usually look like?

Benoit Lourdelet, Product Management Director, Extreme Networks

15.40 Challenges Related with AI Introduction to CSP Operational ProcessesAI, and ML in particular, are promising significant benefits related with impro-ved operational efficiency of human labor, automation of recurrent tasks and predictive maintenance. However, they require number of pre-requisities to be fulfilled before reaching

real business outcome. Sharing practical experiences gathered during the implementation of AI-based use cases focused on optimization of network & service assurance processes for one of our CSP customers.

Rajmund Zieliński, IAA Product Manager, Comarch

16.00 Coffee Break / Exhibition / Interop Showcase

16.30 Network Traffic Classification at Scale Using Machine LearningNetwork traffic needs to be classified for various purposes, for example, business priority, resource consumption pattern, intrusion risk signature and others. Discussing how machine learning tools and techniques can be

applied practically to achieve traffic classification, and how this approach can be designed to scale.

Ananda Sen Gupta, Vice President, Telecommunications Business Unit, Nagarro

USE CASE I SESSION16.50 Cox Communication’s Implementation of various ML MethodsSharing methods such as Multivariate Linear Regression Model, Univariate Long-Term Short Memory (Univariate-LSTM) etc. for traffic demand matrix estimation, and the model used to predict the fiber cutset of size 1 and 2 for both random and catastrophic failures and their impact on network econo-mics, services and future direction for dynamic path provisioning.

Mazen Khaddam, Cox Communication


17.10 Core Network Intelligence at DTReporting on a comprehensive, dynamically correlated data model of the IP core network topology and traffic, that has been in use at DT for over four

years now. Describing various use cases that draw on this same data model and reporting on performance benefits.

Dr Oliver Holschke, Strategic R&D Projects, Deutsche Telekom Labs

17.30 Predictive Maintenance and Anomaly Detection at Turk TelekomDescribing a project that focus on operational AI for telco networks.

Implementing predictive maintenance and anomaly detection use cases with machine learning algorithms in IP/MPLS domain.

Iren Berk Özalp, Customer Experience and SLA Management Systems Manager, Turk Telekom

17.50 Deployment Scenarios to Augment Network Operations with AI

Addressing deployment challenges that are facing customers when exploring and implementing AI-based solutions for they operations.

Jean-Marc Uzé, VP EMEA, Augtera Networks

18.10 A Deep Learning System to Accurately Diagnose the Wireline Access NetworksDiscussing deep learning developments to offer an accurate, proactive and

network-wide solution to troubleshoot the wireline access networks.

Nicolas Dupuis, Senior Machine Learning Scientist, AI Strategy and Innovation Lead, DMTS, Nokia,

18.30 End of Conference Day One Track 3

19.00 Welcome Reception


WEDNESDAY 1 JULY AFTERNOON AI NET DAY ONE TRACK 3

• Exhibition Open From 08.00 To 20.00• End Of Conference: 18.30• Welcome Reception: 19.00


THURSDAY 2 JULY MORNING AI NET DAY TWO TRACK 3

• Registration and welcome coffee from 07.30• Start of the Conference 08.30• Exhibition open from 08.00 to 19.00• Seated Lunch: 12.30

MORNING CHAIRMANJean-Marc Uzé, VP EMEA, Augtera Networks

USE CASE II SESSION08.30 Proactive Network Troubleshooting Using Machine LearningShowing how machine learning helped reduce from thousands of events to a handful of meaningful situations in their mobile backhaul network.

Christian Panu, Expert Operations Engineer, Vodafone

Carsten Collatz, Senior Product Manager, Nokia

08.50 The Key role of MLOps in managing DataLake and Monitoring ML Models Performance at ScaleDiscussing the MLOps aspect of complex ML/AI solutions deployed at scale: how to monitor data (volume, quality and diversity) but also the efficacy of ML

models using various performance metrics. Various real-life examples are discussed.

JP Vasseur, PhD, Head of ML/AI for Networking, Cisco Fellow

SMART TELEMETRY/DATA QUALITY SESSION

09.10 How Many Data do we Need to Build a Good Classifier for Network Management?Discussing how we can apply AI techniques to improve IP/MPLS Networks operations and user experience. Applying few-shot learning, meta-learning, and a generative algorithm to different domains of network management;

eNodeB data analysis for quality assurance in mobile network, packet and flow data analysis for Web service identification of encrypted transport connections.

Kohei Shiomoto, Professor, Tokyo City University

09.30 Intent Based AnalyticsTalking about IBA - Intent Based Analytics (smart telemetry) - Analytics that are defined and derived from user intent and used to validate the intended state and are immediately actionable.

This is as opposite to “dump telemetry”, trying to get as much data as possible and then doing nothing with it, since it is too late and lacks context (un-actionable data).

Jeff Tantsura, Head of Networking Strategy, Apstra

09.50 ML/AI to Collect and Correlate Data from your Network and the Internet In order to get a full perspective on one’s network, one must also keep in mind the ‘bigger picture’ of the internet and correlate its big data with the

big data from their own network. Examining the idea behind matching and correlating these data sets and advanced ML/AI techniques that can be used to automate data collection and correlation.

Craig Labovitz, CTO, Deepfield Business Unit, Nokia

REINFORCEMENT LEARNING SESSION

10.10 Reinforcement Learning for Telecommunication Network: from Opportunistic Spectrum Access to IoTsIn reinforcement learning, an agent chooses actions in order to maximize

the rewards given by a dynamic environment. As the environment is initially unknown, the agent has to interact with it to gather information. Moreover, only the reward of the chosen actions is revealed.

Raphaël Féraud, Research Engineer, Orange Labs


11.00 Self-Explaining Adaptive networksDescribing a model-free Reinforcement Learning based algorithms allowing to hide the inherent complexity of the environment and adapt to its changing conditions.

Armen Aghasaryan, Nokia Bell Labs

11.20 Machine Learning for Wireless CommunicationsMobile cellular networks are becoming increasingly complex to manage while classical deployment/optimization techniques are cost-ineffective and

thus seen as stop gaps. Discussing through various examples the on-going AI architectures and algorithms for the design of Next Generation Intelligent Networks.

Prof. Mérouane Debbah, IEEE Fellow, CentraleSupélec, Huawei

11.40 Increasing Network and Service Automation with Artificial Intelligence and Machine Learning

Presenting the ZSM architecture and the services it provides to enable and use Artificial Intelligence and Machine Learning to achieve secure, end-to-end, cross-domain service orchestration and automation.

Nurit Sprecher, ETSI ZSM ISG WG Vice-Chair,

12.00 PANEL

Next Frontiers in AI Networks

MODERATORTilly Gilbert, Consultant, STL Partners

Prof. Mérouane Debbah, IEEE Fellow, CentraleSupélec, Huawei

Rahul Aggarwal, Founder & CEO, Augtera Networks

Loutfi Nuaymi, Professor, IMT Atlantique

12.30 Seated Lunch

AFTERNOON CHAIRMANJean-Marc Uzé, VP EMEA, Augtera Networks

SELF HEALING NETWORKS SESSION

14.00 What is Self Healing Enterprise and how to Become One?Talking about how self-healing enterprise, level of self-healing and how auto-nomous IT enables self-healing.

Business benefits of self-healing are elevated digital user experience, optimization of IT resources, and achieve uninterrupted operations for the enterprises.

Paddy Padmanabhan, Founder & CEO, Appnomic Systems

14.30 Self-healing Networks: Software Defined Transport Network AutomationNetwork resources can be efficiently used by steering traffic to meet low latency, high bandwidth and resilience requirements. Highlighting the tenets

of Software Defined Transport Network Automation enabling:• Service-oriented transport provisioning• Intent-driven real-time transport network optimization

Ranga Maddipudi, Product Line Manager, Cisco


15.30 Intent-based Intelligence: Systematic Self-healing NetworkTo support service agility, the network must evolve from a static resource system to a flexible and dynamic system that can meet business objectives. With the global network status control, a closed-loop network can be

automatically built and maintained based on human service intentions to implement intelligent and systematic self-healing networks.

Christopher Mulley, Principal Architect of CTO Group, ZTE Corporation

16.00 AI Chips and Intelligent Lossless AlgorithmsEnabling zero packet loss on the Ethernet, unleashing the full computing potential of AI, and realizing the integration of computation, storage, and communication on DCNs:• Congestion-caused packet loss on traditional Ethernet becoming the

bottleneck for improving computing power in the AI era: a packet loss rate of 0.1% resulting in a decrease of 50% in computing power

• AI-based intelligent plane for DCNs, realizing zero packet loss

Xiaofeng Yang, Data Center Network Senior Architect, Huawei

16.30 End of Conference Day Two Track 3


THURSDAY 2 JULY AFTERNOON AI NET DAY TWO TRACK 3

• Exhibition Open From 08.00 To 20.00• End of Conference: 16.30

The Multi-Vendor Interoperability Test The European Advanced Networking Test Center and Upperside Conferences invites all interested vendors to join our public multi-vendor interoperability test and showcase at the MPLS+SDN+NFV World Congress 2020.

The conference is the meeting point for everybody in the networking industry, bringing together +1,600 experts from all over the world.

EANTC's multi-vendor interoperability showcase is a well established event beneficial for small and large vendors alike. EANTC as an independent party creates an ecosystem to conduct testing in the most advanced application scenarios addressing service providers’ needs.

We will exhibit a tangible, lab-validated network showcasing mature as well as the latest advances in different technology areas. To address the constantly changing requirements in the industry we propose to integrate new technologies with the SDN-based packet transport network, such as 400GE, 60GHz Microwave, and optical/packet based network orches-tration. We suggest to align the multi-vendor SDN tests with the following topics:

• 5G network evolution• Deeper integration of different transport domains• Data center connectivity and data center interconnection• Network automation and orchestration• Transport security and clock• Synchronization• Virtualized edge and access routing• Data transport technologies

More information: http://www.eantc.de/showcases/2020/mpls.html

2019 Participating Companies

ADVA OPTICALARISTA NETWORKSBISDNCALNEX SOLUTIONSCISCO

DELTA ELECTRONICSECIERICSSONHUAWEIIP INFUSION

INTRACOM TELECOMIXIAJUNIPER NETWORKSMEINBERGMICROSEMI

NOKIASEIKO SOLUTIONS INC.SPIRENTTAIL-F ZTE CORPORATION

Level 0101 HUAWEI102 JUNIPER NETWORKS103 NOKIA104 CIENA105 128 TECHNOLOGY106 COMARCH201 ERICSSON202 AETHRA203 INFINERA

204 KENTIK205 EKINOPS206 VELOCLOUD, Now Part of VMware207 TAIL-F208 ZTE209 METASWITCH210 ARISTA211 OSI HARDWARE212 IXIA

301 RAD302 NETROUNDS303 INMANTA304 ARRCUS305 LANNER ELECTRONICS306 SPIRENT307 ENEA308 NOVIFLOW309 DRIVENETS310 DELTA ELECTRONICS

311 CISCO401 ADVA403 VERSA NETWORKSTT1 FRINX

Level -1501 AUGTERA NETWORKS502 ADVANTECH503 QNAP504 NETSCOUT

© 1994-2020 Upperside Conferences | www.uppersideconferences.com | [email protected] | Credit Photos: M. Zurcher. All rights reserved.

The Exhibition

© 1994-2020 Upperside Conferences | www.uppersideconferences.com | [email protected] | Credit Photos: M. Zurcher. All rights reserved.

PAGE 16

Deluxe Guestroom from € 225.00/nightSpacious and comfortable Deluxe Guestroom. With safe box sui-table for a lap top, ergonomic working chairs and spacious desk, local and international cable/satellite, mini refrigerator and coffee/tea maker. Breakfast is included in the room rate.

Junior Suite from € 340.00/nightBreakfast is included in the room rate.

This 44 Sq Mt (473 Sq Ft) Suite offers you 2 rooms accommodating up to 3 guests. The living area is separated from bedroom by pri-vacy wall, and is equipped with a sofa bed (accommodating 1 adult o 2 children). The Junior Suite includes Aromathery amenities, filled up minibar (non alcoholic beverages), fresh flower, free internet connection, a free and exclusive access to our Executive Lounge.

VAT 10% included.

Paris city tax not included: € 2.88 per person per night will be added on your final hotel bill The Guest will be responsible for all room charges guaranteed by the individual’s credit card at the time of booking.

Reservations can be cancelled without charges only before 6pm (Paris time) 48 hours before the arrival date.

After this period, in the case of cancellation of the reservation after 6pm (Paris time) 48 hours before the arrival date; the full amount of the stay will be charged.

“No show” (rooms not occupied by the participants) will be charged to the client’s credit card on the basis of the full stay.

The physical credit card will be asked at check-in as a guarantee for any extra charges incurred during the stay. The organizer (Upperside) will not take charge for any extras or additional charges of the participants.

Breakfast is free for children under 12 years.

A cot is provided at no charge for children under 2 years.

Located on the renowned Parisian ‘Left Bank’, close to Montpar-nasse, the Latin Quarter and Saint Germain des Près, the hotel is only 5 minutes from the Boulevard Peripherique (the city’s ring road). Moreover, it is easily accessible by train and airport trans-fers. The hotel’s 757 Guestrooms & Suites offer you a bird’s-eye view of Paris, whilst our latest technology equipments provide everything you need to work. Every room boasts a connectivity panel, linking all your digital tools to the flat-screen TV, a highly secure WiFi connection, and a large desk with an ergonomic chair.

If business, pleasure or both, take advantage of our many ser-vices, our 24-hour Concierge assistance, our room service or upgrade your stay with our Executive Level and Lounge.

Make the most of your stay and take a break in our 350 m2 (3,800 Sq Ft) Fitness Center which offers massages and private coaching upon reservation. Alternatively, you could follow one of our jogging routes.

R’Yves, a superb bar, lounge and restaurant in downtown Paris, welcomes you every day in a cozy and relaxing 70s atmosphere for a light refreshment or a full meal. Guests will enjoy a wide variety of international dishes offered by our talented chef.

And don’t forget the temptations of the Left Bank such as the most famous shopping addresses in Saint Germain des Près, the world renowned Montparnasse Brasseries, the Champs Elysées and the Eiffel Tower, all less than 20 minutes away by metro!

Marriott Paris Rive Gauche is located in the 14th arrondissement and is easily accessible by subway (Line 6):

Saint-Jacques or Glacière Stations

PA R I S R I V E G AU C H E

To get more info: http://bit.ly/2MFD6Nx

https://www.uppersideconferences.com/ainet/ainet_2020_hotel.html

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Experiences and Best-practices - GIIEvent