Network Programming Promises
Add to Calendar!
Experiences in operational networks
Add to Calendar!
Going Everywhere! Going Virtual!
Add to Calendar!
Register Now!
Going Everywhere! Going Virtual!
Add to Calendar!
Register Now!
Network Programming Promises
Add to Calendar!
Experiences in operational networks
Add to Calendar!

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 SD-WAN & SASE Virtual Summit will take place from 24 to 26 November 2020.

As each year, the programme will benefit from many operators and enterprises testimonies.

Renowned experts will underline the maturity challenge of SD-WAN and SASE, and what are the pain points.
MPLS+SDN+NFV WORLD CONGRESS
 22ND EDITION
23/26 MARCH
PARIS
The 22nd Edition of the MPLS + SDN + NFV World Congress will now take place from 23rd to 26th March 2021 at the Marriott Paris Rive Gauche Hotel and Conference Center.

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

With 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.

AI and 5G Impact for Networks

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).
AI NET CONFERENCE
 3RD EDITION
23/25 MARCH
PARIS
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.