February 1, 2017
  • 08:00
    Registration, Exhibition and Networking Breakfast
  • 09:10
    Chair’s Opening Remarks
    Dr Tom Wilkie, Former Editor-In-Chief, Scientific Computing World (Confirmed)
  • 09:15
    Opening Address: Driving the UK to the Forefront of Data Analytics
    Daniel Zeichner MP, Chair, All-Party Parliamentary Group on Data Analytics (Confirmed)
    • Launching the All-Party Parliamentary Group on Data Analytics in October, to explore the realm of ‘big data’ and High Performance Computing (HPC) in the UK to help both the private and public sectors
    • Highlighting the importance of ‘big data’, with it set to contribute £20 billion of benefit for central government over five years
    • Breaking down Government departmental silos and improving the quality of data used by the Government
    • Tapping into the expected 157,000 additional jobs and £241 billion gain to UK economy from big data by 2020
  • 09:30
    Unlocking the UK’s Data Science Potential with the Pioneering Alan Turing Institute
    Professor Anthony Lee, Strategic Programme Director for the Turing-Intel Programme, Alan Turing Institute (Confirmed)
    • Investing in the Alan Turing Institute with £42 million UK Government funding, £25 million from 5 university partners and multi-million pound investments from strategic partners over five years
    • Generating cutting edge research and pioneering the emerging field of data science, driving academic, economic and social impact across the UK
    • Building a strategic partnership with Intel, focusing on the interplay between data science algorithms and HPC architectures and applications in health and life sciences
    • Effectively combining HPC architectures and data science algorithms – vital for learning useful information from large, modern datasets


  • 09:50
    Why Icelandic HPC Could Be Bioinformatics’ Best Friend
    Dominic Ward, VP of Corporate and Business Development, Verne Global (Confirmed)
    Timothy Stitt, Head of Scientific Computing, Earlham Institute (Confirmed)

    • The Earlham Institute’s use of HPC to accelerate and refine genomic analysis
    • Data-driven science and the associated computational challenges faced by research institutions
    • How the partnership between the Earlham Institute and Verne Global is helping solve these challenges
    • The advantages Iceland can offer the wider research, science and education community as a location for HPC

  • 10:10
    Infrastructures and Modern Applications for Fine-Tuned Forecasting
    Dave Underwood, Deputy Director of HPC, The Met Office (Confirmed)
    • Delivering £2bn of benefits to the UK economy by squaring HPC capability with the latest advances in hardware, software and infrastructure
    • Channelling improved capacity to strengthen resolution for safety and improve modelling to afford the UK economy unprecedented foresight
    • Sustaining 16,000 trillion calculations per second through efficient cooling and acute management of 2.7 MW of electricity
    • Working with local partners to construct the ultra-modern complex to host the Met Office’s next HPC facility and the largest High Performance Computer in Europe
  • 10:25
    Questions and Answers
  • 10:40
    Refreshments, Networking and Exhibition
  • 11:25
    The Vineyard Project: Accelerating Cloud Applications in Next Generation Energy Efficient Systems
    Christoforos Kachris, Technical Director, Vineyard Project (Confirmed)
    • Accelerating financial, bioinformatics and database applications using hardware accelerators
    • Reducing the energy consumption of large data centres and cloud applications
    • Allowing seamless deployment of hardware accelerators through convention frameworks such as Spark
  • 11:45
    Predictive Science in Extreme Conditions with Rich Image Data
    Dr Llion Evans, Researcher, Culham Centre for Fusion Energy (Confirmed)
    • Approaching modelling from physical to virtual - Using advanced imaging data to more accurately model material behaviour
    • Mitigating the delay in analysing the rich data presented by micro scale features by employing tailored open source parallel finite element analysis
    • Running simulations on the UK HPC Machines to reduce over 8 months of work into a single day
    • Using image data to model fusion energy tokamak parts ‘as manufactured’ rather than ‘as designed’ to increase safety.
  • 12:05
    Implementing the Ethics of Big Data Practices
    Professor Luciano Floridi, Director of Research, Professor of Philosophy and Ethics of Information, Oxford Internet Institute (Confirmed)
    • Investigating the ethics of big data: How data is generated, recorded and shared
    • Effectively understanding how artificial intelligence, machine learning and robots interpret data
    • Devising responsible innovation and professional codes to guide the emerging field of data science
  • 12:25
    Questions and Answers
  • 12:35
    Seminar Session One
    • Exploring the horizons of computational Science - Quantum Computing and beyond
    • Building strong relationships between research and industry to advance innovation and develop the UK’s computing capabilities
    • Architecting secure and easy to access networks and harnessing cloud to allow for greater use of HPC facilities
    • Understanding the latest advances in infrastructure and hardware to improve power, speed and energy efficiency
    • Adopting modern practices in big data analytics to deliver more accurate models and more precise results
    • Examining the power of Machine and Deep learning solutions to harness the power of artificial intelligence
    • Disambiguating big data and rich data - mapping the intersection between data’s value and volume
  • 13:35
  • 14:35
    Seminar Session Two

    Please see the seminar topics listed at 12:10

  • 15:35
    Refreshment, Networking and Exhibition
  • The afternoon will be split into two streams, one focusing on HPC and the other on Big Data:
  • 16:05
    Afternoon Streamed Sessions
February 1, 2017
  • 16:05
    Harnessing the Power of Predictive Computational Science
    Massimo Noro, Science Leader, High Performance Computing , Unilever (Confirmed)
    • Employing advanced visualisation software and virtualised models to speed up the development of home and personal care products
    • Collaborating with the Hartree Centre’s HPC facilities as part of Unilever’s €1 billion annual research and development portfolio
    • Harnessing the power of predictive computational science to dramatically save testing and redesign costs as well as speeding up development time from 8-12 weeks to 45 minutes
    • Developing cutting edge material dynamics algorithms and employing vast quantities of data to ensure stability and durability of products
  • 16:20
    Powering Europe in the Race towards Exascale Computing
    Professor John Goodacre, Professor of Computer Architectures, University of Manchester (Confirmed)
    • Developing the next generation of HPC through exploring technology for exascale-level systems
    • Dividing prototype research into interconnection, networks, storage and cooling to ensure advancements
    • Pioneering a model with current leading edge technologies: 1000+ ARM cores and FPGA Accelerators
    • Advocating UNIMEM architecture to radically reduce energy wasted by the copying of communication data across modules
    • Calling on the expertise of European SMEs and research institutes to collaboratively overcome challenges to Exascale development
  • 16:35
    Overcoming the Barriers to Creating Localised Research Capacity
    Dr Andreas Biternas, HPC and Linux Lead, King's College London (Confirmed)
    • Establishing the on-site HPC³ Service for academic research across mathematics, informatics, social sciences, physics and health sciences
    • Removing the need to purchase dedicated servers, managing infrastructures and dedicated technicians
    • Managing a £25k per square meter cooling and expense costs while operating the server farm in a complex physical location
  • 16:50
    Questions and Answers
  • 17:00
    Drinks Reception
February 1, 2017
  • 16:05
    Understanding Customer Data Through Applying Predictive Data Science
    Sue Daley, Head of Programme, Big Data, Cloud & Mobile, techUK (Confirmed)
    • Exploring the value of Big Data Analytics for online retailers
    • Unlocking the value of data to develop increasingly responsive, personalised and customised goods and services
    • Building consumer trust and confidence in the use of Big Data
    • Investigating the future for the ecommerce market in a Big Data economy
  • 16:20
    Solving Big Data Problems with University-Industry Partnerships
    Dr Pierre-André Maugis, Head of Technology Transfer, The UCL Big Data Institute (Confirmed)
    • Plugging the data science skills gap through partnerships between universities and businesses
    • Applying new research almost immediately by utilising existing Big Data from large businesses
    • Developing projects such as the All4 streaming service from Channel 4, using talent from the UCL Big Data Institute to enhance its recommendation system through stochastic modelling and time series


  • 16:35
    Gaining Value from Big Data Analytics: A Governance Perspective
    Richard J Self, Research Fellow, Big Data Lab and Senior Lecturer in Analytics and Governance, Department of Computing and Maths, College of Engineering and Technology, University of Derby (Confirmed)
    • Crystal Balls and Magic Pixie Dust: Are Big Data and Analytics over-hyped?
    • The What and Why questions for Analytics: Big Data vv Small Data and understanding what the Analytics models and statistics can tell us
    • Big Data: Does it really deliver N=All for the statistical analysis?
    • Consequences of the 80% Uncertain Veracity problem for decision making: Does the IoT make it better?
    • Important Governance factors to add value and success to your Analytics project
  • 16:50
    Questions and Answers
  • 17:00
    Drinks Reception

By using our Website you consent to the use of cookies, collection and use of your information as described in our Privacy & Cookies Policy. Find out more

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.