AI Net Conference postponed to June 30/July 2Today with due regard to the coronavirus outbreak worldwide and the clear and precise caution from the French authorities, we are not able to maintain the MPLS + SDN + NFV World Congress and AI Net Conference at the originally planned dates.
Our priority is to ensure the safety of our customers, speakers, partners, suppliers and staff.
We have then decided, in front of this case of force majeure, to postpone the event from 30th June to 3rd July of this year at the same venue.
We deeply thank all our partners, sponsors, exhibitors, speakers, who, by looking ahead and organizing themselves right now to be there at the end of June in Paris, have strongly shown their confidence and support.
We also thank for their confidence all the attendees registered to date. We will contact them individually in the next few days regarding their registration.
We hope that despite issues this postponing may have caused, you understand and share our decision.
We will of course carry on monitoring the situation and will double our efforts in order for this 22nd Edition to happen in a serene and profitable atmosphere.
We will be available to answer any questions you may have.
The Upperside Conferences Team
Accomodation at the Hotel Marriott Paris Rive Gauche
If you have booked accommodation at the Marriott Rive Gauche for these dates, your booking will automatically be cancelled without penalty. You do not have to do anything. All booking data will be erased.
A new link for booking accommodation for the new dates will be available online soon.
Experiences and best-practices in operational networks.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 environment.
- 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, Cox Communication 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 generation and application including performance evaluation.
75+ Countries Represented55 % of the delegates came from operators and enterprises. With 75 countries represented, the Congress confirmed its growing internationalization.
The figures show that 53% of the participants came from Europe, 15% from America, 10% from Asia, 11% from Middle East and Africa, 11% from Russia and Eastern Europe.
The MPLS+SDN+NFV/AInet conference offers the latest trends, conversations with experts and in-depth tutorials — I haven’t missed one in 20 years and I’m looking forward to the next one. ”
— Kireeti Kompella, Juniper Networks