Requirements for the Second Wave

The 4th SD-WAN Summit will take place from 24th to 26th September 2019.

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.
50% of delegates came from operators and large enterprises

With more than 500 participants (+25%) from 38 countries (+35%) and a 25% growth of exhibitors number, the 3rd SD-WAN Summit has confirmed its place as the leading event for stakeholders in this new technology.
Network Programming Promises

The 22nd Edition of the MPLS + SDN + NFV World Congress will take place from 31st March to 3rd April 2020.

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 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.

Intent based networking was given a large importance in this year’s agenda. Other important sessions covered edge cloud architectures, network slicing, telemetry, automation and segment routing.
Experiences and best-practices in operational networks

The 3rd Edition of AI Net Conference will take place from 31st March to 2ndApril 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 2020 will demonstrate how early works and implementations with AI & ML have shown promising results.