Towards Self Driven Networks
Thank You! See You next Year! 9/12 April 2019

AI Net Conference 2018: Towards Self Driven Networks

AI and Machine Learning are being hyped in almost every imaginable field. However, networking is lagging far behind in the development and deployment of these new techniques.

And yet AI can be effectively used in many networking areas, such as fault isolation, intrusion detection, event correlation, log analysis, capacity planning, and design optimization, just to name a few.

New paradigms: SDN, 5G & IoT, Network Analytics

The AI Net conference will demonstrate that the rise of two recent paradigms: Software-Defined Networking (SDN) and Network Analytics (NA), will facilitate the adoption of these techniques in the context of network operation and control.

Moreover, cognitive network management has been widely accepted as the current orientation for an efficient, agile and automated management operations for 5G & IoT networks.

The agenda: AI for service automation and network management, Internet security monitoring, machine learning vs rule based systems, Analytics and Telemetry

The conference will gather a set of renowned experts coming from the research side (Inria, Tokyo City University, Cataluna University), from operators (Orange, Google, Expedia) industrials (Juniper Networks, Nokia, Huawei, Cisco, Aria Networks) and consulting companies ( Rethink Research, OVUM, STL Partners, Disruptive Analysis).

The agenda will address the following sessions:
  • Requirements and Expectations for Network AI
  • Telemetry, Data streaming, and Data Warehouse
  • Machine Learning and AI for Network Analytics 
  • AI for network automation and service design
  • Machine Learning techniques
  • Security applications and Prediction
  • Field trial, Production Network Experience
  • AI and IoT, 5G
A tutorial session has been designed for professionals who haven’t yet learned about AI and have a strong network background. The tutorial also presents results from surveys realised by Ovum and Rethink Research. 

Finally, the agenda will include a constructive and informational debate on « Machine learning versus rule-based systems ».

The Speakers

Cengiz Alaettinoglu
Packet Design

Sam Aldrin

Michael Azoff

Dean Bubley
Disruptive Analysis

Albert Cabelos
Catalunya Univ.

Amy Cameron
STL Partners

Laurent Ciavaglia

Wojciech Dziunikowski

Luyuan Fang

Frankie Foston
Aria networks

Jérôme François

Caroline Gabriel
Rethink Research

Imen Grida Ben Yahia
Orange Labs

Nir Halachmi

Donald Hunter

Steve Kohalmi
Juniper Networks

Ulrich Kohn
Adva Optical

Kireeti Kompella
Juniper Networks

Kumar Reddy

Kohei Shiomoto
Tokyo University

Varun Singh

Nurit Sprecher

Niloufar Tayebi

Roland Thienpont

Jean-Marc Uzé

Shen Yan
IETF, Huawei