Towards Self Driven Networks / 10/12 April 2018 / Marriott Paris
Tuesday 10 April 2018 | Technical Tutorial

  • Registration and welcome coffee from 08.00
  • Start of the Tutorial 14.00
  • Exhibition open from 10.00 to 19.00
  • Seated Lunch: 12.30
  • End of Tutorial: 16.30

AI & Machine Learning Promises for the Networking Industry
AI Concepts Introduction for Networkers
This session is designed for professionals who haven’t yet learned about AI and have a strong network background.

Jean-Marc Uzé,
Network Data Scientist, AIforNet
AI for Networking Lanscape
Marketing, customer management
Consumer related: games, chatbots/digital assistants (apps, call center)
Network optimization and traffic management
Technical support (for internal and external customer support)
AI technology: latest advances, providers/suppliers, data management
AI strategy

Michael Azoff,
Principal Analyst, Ovum

Eitan Michael Azoff, PhD, MSc, BSc(Eng).Based near Newark-on-Trent, Nottinghamshire, UK.
An industry analyst since 2003, bringing over 20 years of experience in pure and applied research and consulting in the IT industry. Michael is a member of Ovum’s IT solutions group, providing research, advice, and consulting for enterprise users of technology, IT vendors, and vertical domains.  He leads the research on software development and lifecycle management for enterprise IT, and for systems engineering and advanced product manufacturing. Michael also covers artificial intelligence and machine learning, and has written a book on neural networks. His research spans machine intelligence to AI hardware acceleration, and applications in vertical domains.   Current research interests: microservices, containers and cloud native computing; artificial intelligence/machine learning/cognitive computing; agile, Lean, and DevOps methodologies and processes; mobile and web app development platforms; ALM-PLM integration; application performance management; and software application security.

Coffee Break

How Mobile Operators can use AI to Optimize their Networks and their User Experience
The most immediate applications are often to increase operational efficiency of mobile operators networks, with AI-assisted planning and management, and preventative maintenance. This can have a significant impact on user experience, by fixing network issues before they affect the subscriber, and can also reduce operating costs. From that starting point, many MNOs will extend their use of AI, often in conjunction with 5G, to support entirely new, hyper-personalized services and experiences.

Dean Bubley,
Disruptive Analysis
End of the Tutorial