Going virtual!

As the Covid-19 situation still prevents to organize international meetings Upperside Conferences has decided to transform the SD‑WAN Summit in a fully virtual event this year.

The 5th edition of what will be known as The Virtual SD-WAN Summit will take place from 24 to 26 November 2020.

As each year, the programme will benefit from many operators and enterprises testimonies. They will address their development focal points and the future evolution of their services.

Renowned experts will underline the maturity challenge of SD-WAN and what are the pain points.

The 22^nd Edition of the MPLS + SDN + NFV World Congress will now take place from 23^rd to 26^th March 2021.

The Congress will once again gather major actors of service providers and enterprises networks evolution.

With 1,600+ participants, the 21st edition of MPLS + SDN + NFV Worldreached 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.


During the 2021 edition, emphasis will be given to network programming (programmability, functions on demand), 5G, SR and Self Healing networks (service assurance, closed loop automation, intent-based).

The 3rd Edition of AI Net Conference will take place from 23rd to 25th March 2020. 


The IT and networking industry is experiencing transformation with the increasing adoption of automation enabled by software-defined networking (SDN) and network function virtualization (NFV). As this transformation continues at increased scale and speed, artificial intelligence and machine learning have become foundational elements to interact with SDN and NFV to create optimized solutions.

However, the emergence of AI and ML is challenging current network operational practices. Today, operational staff have tight control on network resources; service activation is based on verifiable resource optimization algorithms; and service assurance follows rules defined by clear decision points.

Now all of this is changing. With AI, networks are autonomously controlled by intelligent algorithms that have learnt what action to take from experience. This learning translates training information into a complex matrix of weights, removing the ability to relate neural network processing to an easily understandable decision process. And this causes unease to those who are used to full control over all management process

AI Net 2021 will demonstrate how early works and implementations with AI & ML have shown promising results.