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
14.00
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,
Consultant
14.30
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.

15.15
Coffee Break


15.45
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.

Caroline Gabriel,
Co-founder and Research Director, Rethink Technology Research, Senior Contributor,Next Generation Wireless, Analysys Mason,

Caroline has been engaged in technology analysis, research and consulting for 30 years and since 2002, has been focused entirely on mobile and wireless.   As co-founder and research director of Rethink Technology Research, Caroline has developed a significant research base and forecast methodology, based around deep contacts with mobile and converged operators round the world. This addresses critical issues and trends in mobile and wireless infrastructure, and particularly operator deployment intentions for 4G, 5G, small cells, Cloud-RAN and other technologies.   She is also a senior contributor to Analysys Mason’s Next Generation Wireless research programme.   She has led research and consulting projects with a wide range of clients, including mobile infrastructure vendors, large and start-up operators, regulators, trade bodies, government agencies and financial institutions. Her advice and forecasts have helped inform strategic decisions at a wide range of vendors, operators, start-ups and finance houses.   Prior to setting up Rethink, Caroline held various executive positions at VNU Business Publishing BV, then Europe’s largest producer of technology related B2B reports and publications. She was the European content and research director, and was a member of the leadership team for VNU’s online business. She holds an MA from the University of Oxford.

16.30
End of the Tutorial