Can networks think?
What practical techniques exist now, or are being developed, for the automation of complex systems? How can we apply these to the specific challenges associated with next generation networks?
AI in Telco Networks
Dr Kim Larsen, SVP, Group Development, Deutsche Telekom
Kim will address how might AI (dramatically?) change Telco Networks in short, medium and long term. How to leapfrog operational efficiencies and customer experience with AI. The session will cover some use cases that Kim and his team have worked on in the past. Finally, some thoughts on the hidden luddite in most of us Humans and why this is a threat to fast AI exploitation.
Dr. Kim Larsen has more than 16 years of experience in the telecommunication industry, with national, as well as international senior management roles. He is currently working for Deutsche Telekom Group Developmemnt. Previously he was the CTIO in Magyar Telekom, Hungary’s market leading telco operator. Also previously he worked for Deutsche Telekom as Senior Vice President of Technology Economics & Transformation reporting directly to the Deutsche Telekom’s Group CTO. He holds a Ph.D. degree in Physics and a master degree in Physics & Mathematics.
Kim is passionate about value-based technology innovations and in particular the strategic and economic impact of new technologies such as 5G and AI. He publishes and discusses his views as ‘Dr. Kim’ on his techno-economical strategy blog www.techneconomyblog.com, his AI strategy & policy blog www.aistrategyblog.com and on Twitter @KimKLarsen.
Among many things, Kim has been developing a blue print for Deutsche Telekom’s Network-centric big data architecture supporting all network needs including the diverse use cases & requirements in a modern telecommunications network. He is driving various applied machine learning initiatives, aggressive network automation and how to get more data science competences into the telecom industry. Lately, he started a debate on relevance of 5G for the mass market, the rightful expectations to its potential and last but not least the economic impact on the telecom industry.
AI Ops – getting value from real-time data
Dave Salam, Director Mobile Core and Data Analytics, BT
This session will explore how BT is addressing the increasing need for intelligent real time Insight in the design and operation of its Mobile Network
Dave Salam is Director of Mobile Networks at BT, with overall responsibility to Design and Build the leading Mobile Network in the UK. Dave has a 25-year history is Mobile Technologies working across Network Strategy, Architecture, Design and Operations both in UK and Internationally. Recently, Dave has also led teams in Big Data technologies with a specific focus on developing real-time Customer Experience Insight and Operational simplicity.
Machine Learning – what’s in it for communication networks
Tero Rissa, Chief Architect, Machine Learning, ATF, Mobile Networks, Nokia
This session will explore how can we classify the different techniques available for machine learning and what are they capable of achieving, now and over the next few years. What might go wrong? Why now?
Tero has over 20 years of industrial experience of scaling new technologies from research and concept engineering into commercial products. He started working with artificial neural networks in 2009, and has since held senior positions in both engineering and management. Most recently before joining Nokia Networks, he was a director of R&D at Microsoft and the lead architect of OZO in Nokia Technologies. Tero holds MSc in CS/EE, Digital and Computer Systems from TUT Finland, and PhD in Computing from Imperial College London UK. He is also an emeritus member of the Nokia CEO Technology Council and Bell Labs Distinguished Member of Technical Staff.
Managing complexity in end-user devices
What types of new devices will be used with next generation networks? As these devices become more complex, what is the potential for simplifying their operation using embedded AI / ML?
AI in networks - opportunities and challenges
Yue Wang, Principal 5G Researcher, Samsung Electronics R&D Institute, UK
The presentation will give an overview of the current and future-looking applications of AI in the communication networks, including the current standard activities in network automation and intelligence. Through a few examples it will show how AI can benefit the network for enhanced performance and reduced cost, as well as the challenges the industry is facing when applying AI to the networks.
Yue Wang is a Principal 5G Researcher at Samsung Electronics R&D Institute UK. Over the past 10 years in her career, she has held various roles in the US and the UK, and has worked on a number of technical subjects in wireless communications research and standards. Her current interest is on the strategy and innovation of applying AI in communication networks. She leads the research activities of AI within the 5G team, is the Samsung delegate of ETSI ISG ENI (Experiential Networked Intelligence), and the Secretary and Rapporteur of ENI. She also sits in the Industry Advisory Board of two Universities, and is the industry supervisor of a 5-year research program, all on the area of AI in 5G and beyond.
Improving end-to-end quality of service
What performance data do next generation networks generate? Can this be used to continuously optimize network performance? What improvement could this deliver over current network management techniques (SON etc)?
AI with a human-touch - application to Network Performance
Mansoor Hanif - CTO, Ofcom & UK5G Advisory Board Member, UK5G
Inevitable indeed, but how fast and how deep is Machine Learning and AI being applied to building better, more reliable and more secure networks? What is "AI with a human touch" - how close can we get to Zero touch (full automation) and what is the continuing relevance of humans in network optimization?
Mansoor has 24 years experience of planning, building, optimising and operating mobile networks around the world.
In 2011 Mansoor joined EE as Director of Network Integration and LTE, accountable for the technical launch of 4G as well as the Integration of the 2G/3G Orange and T-Mobile networks. From 2013 he was Director of RAN, with responsibility for all of the EE radio access networks. Mansoor was a board member of MBNL (the joint venture of EE with H3G) until 2016.
At BT Mansoor was Director of the Converged Networks Research Lab from 2016 to 2018, and led deep and wide collaboration with UK Universities, innovators, and government bodies. He provided regular inputs to calls for evidence from the UK Government in relation to connectivity: ranging from 5G deployment pilots, rail connectivity and transport strategy to vertical industries.
Mansoor was closely involved in the foundation of several cross-industry initiatives to accelerate innovation with disruptive technologies: in the UK, he co-founded the Scottish Innovation Partnership, and also globally with the Telecom Infra Project (TIP), founding the Europe’s 1st TIP ecosystem acceleration centre in the UK.
Mansoor is currently a member of the Advisory Board of the UK5G Innovation Network and a member of the UCL Electrical and Electronic Engineering Industry Advisory Board.
Transformation of mobile network management with machine learning
Dr Chris Murphy, Research Director, VIAVI Solutions
To deliver its promise of ubiquitous, highly reliable, low latency communication for a wide range of subscriber and device types requires a radical shift in the way that networks are built and operated. Machine learning is one of the technological pillars that will be needed to realise this transformation and allow us to build what could be amongst the most sophisticated autonomous systems in existence.
Chris has nearly 20 years of commercial experience in telecommunications covering network performance measurement, optimization and SON, particularly in cellular RAN including LTE, UMTS, CDMA and 5G. His focus has been on the modelling, simulation and optimization of next generation technologies to build a revenue stream early in the life cycle of each new generation of telecommunication systems. He has contributed to various industry and standardisation bodies including 3GPP, NGMN, ATIS and the WiMAX Forum. Chris holds a degree in Mathematics and Computing and a Ph.D. in the calibration of oceanic remote sensing satellites for improved models of climate change. He has authored numerous journal and conference papers and has filed 16 patent applications.
Security and privacy by design
How effectively can automated tools identify and mitigate cyber-attacks on networks? Can such tools identify vulnerabilities ahead of any attack? Can they provide greater protection of privacy - or do they create new risks for privacy?
Peter Haigh. National Cyber Security Centre (NCSC)
Narrative to be confirmed
Future challenges and opportunities in Cyber Defence
Dr Ben Azvine, Global Head of Security Research & Innovation, BT
Cyber Security is one of the greatest man-made challenges of our time. In this talk I’ll focus on why businesses need to think differently about security to meet the challenges. I’ll also cover the positive and negative impact of a number technologies such IoT and AI on Cyber Security, and demonstrate our latest tools and technologies being developed at our labs.
Ben is responsible for setting direction and strategy for Security research, identify innovation opportunities and lead a strong international team of researcher to develop new capabilities in collaboration with industrial and academic partners. Ben has 30 years’ experience in both academia and industry. His previous roles included leading the IT research centre and head of business intelligence & customer analytics research at BT Group Chief Technology Office. He holds a BSc in Mechanical Engineering, an MSc in Control Engineering, a PhD in Intelligent Control Systems from Manchester University and an MBA from Imperial College, London. Having held research fellowship and lectureship posts in several universities, he joined BT in 1995 to lead a research programme to develop and exploit novel Artificial Intelligence technology to support next generation IT systems. Since then he has held senior, principal, chief research scientist posts at BT’s global R&D headquarters in Adastral Park, Ipswich where he is currently based. He has edited two books and published more than 100 scientific articles on novel application of intelligent systems. He is an inventor of 50 patent applications, has won 4 BCS and an IET gold medals for IT innovation, holds visiting professorship positions at the Universities of Bristol, Cranfield, Suffolk and Bournemouth. Ben is a current fellow of Institute of Telecom Engineers (FIET) and has acted as the chairman of the European network of excellence for Uncertainty management techniques from 1998 to 2001. His current research interests include the application Artificial Intelligence and Machine Learning to Cyber security, protection of critical national infrastructure, data analysis and information & knowledge management. His current projects include Visual Analytics for Cyber defence, cloud & Internet security, machine learning and anomaly detection in network data and future identity and access management.
Prof Carsten Maple, Professor of Cyber Systems Engineering & Director of Research in Cyber Security, University of Warwick
Narrative to be confirmed
Understanding network availability
What data is generated on network availability, either by the networks themselves, or crowd-sourced applications on devices? Can application of AI / ML to these datasets provide a better understanding of KPIs such as mobile coverage, network outages, broadband speeds?
Toby Simpson, Chief Technology Officer, Fetch.ai
Narrative to be confirmed
Toby is a pioneer in AI, autonomous agents and shared virtual world technology. He produced the cult hit Creatures series and was one of the initial team at DeepMind looking at nature’s contribution to Artificial General Intelligence. It was the investigation into P2P distributed ledger technology and blockchain which led to the realisation that the Fetch’s vision is within reach.
Automated HetNet Design
Iris Barcia, COO, Keima
The talk will cover the challenges faced by network planning and strategy teams designing modern wireless networks. Examples will show how automation is already used to overcome them, and how could it be in future.
Iris Barcia is Chief Operating Officer and co-owner of Keima, an innovative software company delivering disruptive wireless design solutions worldwide. Iris is an innovator and forward-looking technologist working with the executive teams and engineers at Tier 1 network operators, network infrastructure vendors, neutral-host vendors, government organizations, and international services companies. She has been involved in the proposal and assessment of novel HetNet strategies for nation-wide 4G, 5G, IoT and public-safety networks, with a focus on future capacity provision and multi-technology evolution. Prior to Keima Iris has worked on RAN design, optimization and deployment projects at Telefonica and European rural broadband wireless initiatives. She has a BSc and MSc in Telecommunication Engineering from the University of Vigo (Spain) and an MBA from Cardiff Metropolitan University (UK).
Richard Baker, CEO, Geospock
Narrative to be confirmed