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 networks: the broader context for telecoms
Dean Bubley, Founder, Disruptive Analysis
AI has the potential to be a gamechanger in telecoms – but it’s important to balance opportunity against hype and realistic expectations and understand how it intersects with numerous other trends. This session examines AI’s key use-cases, such as its role in 5G – is it an enabler or a hard pre-requisite? Should we expect it to be better at controlling costs or generating new revenues first? And at the same time as the network is being automated, the apps/devices will be automating how to use it (or abuse it). There will be both synergies & tensions – and this session will aim to help both software developers and network specialists understand the wider business & technology context for deployment.
Dean Bubley is the Founder of Disruptive Analysis, an independent technology industry analyst and consulting firm. An outspoken analyst & futurist with over 25 years’ experience, he specialises in communications, mobile, and telecoms fields. He is one of the leading market observers covering network infrastructure & software, telecom business models, voice/video communications and broadband/spectrum policy. He is known as a contrarian and visionary, often with challenging opinions that go against industry consensus. His present focus is on 5G network technology, WiFi, spectrum policy, blockchain & distributed ledgers, the “future of voice and video”, mobile broadband, developer platforms and contextual communications. He also advises on trends in telco service creation & monetisation, mobile devices, IoT, applications ecosystems, broad futurism and telecoms regulation/policy. He provides clients with advice and analytical opinion on topics such as business model validation, technology innovation and go-to-market strategies, "addressable market sizing", planning and due diligence. His clients include many of the world’s leading telecom operators, vendors, regulators and industry associations. Mr Bubley was formerly an equity analyst, covering communications stocks, with the UK arm of investment bank Robert W. Baird. Prior to that, he spent eight years at UK research firm Datamonitor, where he co-founded the company's Technology business, managed the Internet & Networking area and custom consulting operations, with roles of Chief Analyst & Director of Consulting. He holds a BA in Physics from Keble College, Oxford University.
AI Ops – getting value from real-time data
Dave Salam, Director Mobile Core and Data Analytics, BT
How is BT 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
How can we classify the different techniques available for ML and what they are 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?
Device-level AI for 5G and beyond
Yue Wang, Principal 5G Researcher, Samsung Electronics R&D Institute, UK
What are the benefits and challenges of applying device-level AI to 5G networks, and what needs to be considered, now and in the future?
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.
AI techniques in cognitive network optimisation
Ray Forbes, ETSI ISG ENI (Experiential Networked Intelligence) Chairman, Huawei Technologies Co. LTD
We will explore the work of the ETSI Experiential Networked Intelligence Industry Specification Group (ENI ISG) on using AI techniques in cognitive network optimisation. The use of AI techniques in the network management system could help solve some of the problems of future network deployment and operation.
Educated at Loughborough University of Technology between 1977 and 1984, he joined Plessey Telecommunications where he worked on Software Engineering and Analysis. Since 1990 he has worked on network development in the area of Intelligent Networks and the standardisation thereof. He has chaired the NGN Protocols in ETSI including the IMS adaptation to fixed networks and the Common IMS programme. He was elected as ETSI TC M2M Protocols WG Chairman. Also, he has been actively involved in the ITU-T Smart Focus Group.
He was appointed as chairman of the M2M Protocols activity in oneM2M the global Standards Partnership Project. Also, he was appointed as Leader of the M2M Service Enablement & Utilities Standardization in LM Ericsson. Currently, he is working for Huawei Technologies to lead and chair the ETSI ISG ENI (Experiential Networked intelligence) Chair Report on the ETSI work on network optimisation.
AI-driven approach to user and network optimisation is the missing, critical piece of tomorrow’s digital economy
Arthur Meadows, Chief Commercialisation Officer, Fetch.ai
How will the application of AI & ML to the user’s experience enable friction-free, autonomous value exchange to make consumers’ lives easier and to optimise product & service providers’ operating structure?
Arthur has 25 years’ experience in the software industry in the UK, Europe & in the US. He began his career as a programmer but developed a passion for bringing new products to market using technology to accelerate the business output in his customers’ markets. He joined Fetch.AI in 2017 as one of its first employees. As a start-up enthusiast, Arthur has worked in a variety of positions in product management and marketing in digital advertising, assisted sales platforms and web performance optimisation. He started the Cambridge Product Management Network, a professional network for technology product managers in Cambridge. He has an MBA from Judge Business School, University of Cambridge.
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.
Uses of AI to create high value mobile services
Derek Long, Head of Telecoms & Mobile, Wireless and Digital Services, Cambridge Consultants
This session will cover the application of ML to improve the quality of service experienced in wireless communications networks and will focus on how ML can be applied in virtualised networks to create operator differentiation.
As head of telecoms and mobile at Cambridge Consultants, Derek leads the company’s collaboration within the sector. Central to Derek’s role at Cambridge Consultants is helping create breakthrough innovation that transforms the delivery of high-performance communication for their partners; from mobile carriers and ISPs, to vendors and component manufacturers. With over 20 years’ experience in mobile technology, Derek has held a range of multinational senior management roles and has a wealth of expertise across all generations of mobile and broadband technology, including LTE-A and 5G. Derek holds a PhD in telecommunications from the University of Bristol.
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?
Automated security: the Beauty and the Horror
Peter Haigh. Technical Director for Telecoms, National Cyber Security Centre (NCSC)
Why is automation essential for the security of Next Generation Networks? What are the dangers of automation to sustaining critical systems?
Peter Haigh is Technical Director for Telecommunications at the UK’s National Cyber Security Centre. He is responsible for understanding and reducing the cyber security risk to the UK’s telecommunications networks and works with major operators and vendors on improving cyber security practice in the industry.
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.
The growing role of AI in cyber security
Professor Carsten Maple, Director for Cyber Security Research, Cyber Security Centre, WMG, University of Warwick
AI & ML are having an increasing role in cyber security. New AI-based techniques are helping form active defence as well as detection, but we are also seeing a greater use of AI-based attacks probing and exploiting cyber systems.
Professor Carsten Maple is Director of Research in Cyber Security and Professor of Cyber Systems Engineering in the Cyber Security Centre at the University of Warwick, where he leads the GCHQ-EPSRC Academic Centre of Excellence in Cyber Security Research. He is the Privacy and Trust stream lead and lead the project constellation in Transport & Mobility in PETRAS, the UK Research Hub for Cyber Security of the Internet of Things. Professor Maple has published over 200 peer-reviewed papers has provided evidence and advice to governments and organisations across the world, including being a high-level scientific advisor for cyber security to the European Commission. He is a member of various boards and expert groups.
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?
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).
Evolving cloud to edge computing for network operators – data indexing, analytics and programmatic insights will power a new frontier
Richard Baker, CEO, Geospock
Going beyond network connectivity services has been the desire for network operators from inception. The next wave of global cloud2edge computer architectures ushers in a new era of distributed data management, analytics and programmatic access to insights for network operators and their customers and importantly geospatial or location intelligence insights is a precious insight in high demand. How can data science and ML help operators harness this new data economy?
Richard serves a Chief Executive Officer of Geospock, as well as serving as Non-Executive Director for Falcon Media House, a London Stock Exchange listed global Internet Media Group. He is the Chairman of TAB U.K. Ltd, a Data Science company based in Cambridge.
Formerly, Richard was the joint founder and CEO of Cleartrade Exchange (CLTX), incorporated in Singapore, an electronic execution exchange for cash-settled, cleared derivatives and futures contracts. CLTX is regulated by the Monetary Authority of Singapore (MAS) as a Recognised Market Operator (RMO) and as a Foreign Board of Trade (FBOT) in the USA by the CFTC. CLTX provides a specialised order matching engine giving access to an anonymous central limit order book and block traded futures across multiple asset classes and contracts. CLTX was subject to a 100% majority acquisition by the European Energy Exchange, a Deutsche Bourse company in late 2016.
Richard has held several senior executive positions in technology, media and telecommunications. He has served as a non-executive board member in the internet technology solution sector and has directed and co-founded a digital media consulting services firm.
Richard has a passion for people, innovation, driving high standards and achieving high results. Richard holds qualifications in technology and communications and is a frequent speaker at conferences and roundtables.