Programme 2016

Big Data and Analytics Summit: practical use of analytics to deliver successful projects

8.30 - 9.00 Registration and breakfast

9.00 - 9.05 Welcome and opening remarks

Stuart Sumner, Editorial Director, Computing

9.05 - 9.20 Computing research: a review of Big Data & analytics trends

Tom Wright, Publisher, Computing

9.20 - 9.50 Cognitive systems, machine learning and artificial intelligence - a revolution for businesses

Mike Maddock, Senior Manager Insight and Technology, BGL

  • Machine learning, deep learning, cognitive systems - what is it?
  • What fundamental industry transformations are possible with cognitive systems?
  • What are some of the technical, organisational and cultural challenges in implementation of these systems?

9.50 - 10.40. Panel: The impact of Big Data analytics on business - lessons learnt

Nick Hough-Robbins, Data Director, Specsavers

Peter Edwards, Associate Director, Arup

Ben Hutt, CEO, The Search Party

Alpesh Doshi, Investment Manager, Redcliffe Capital

Luke Scanlon, Technology Lawyer, Pinsent Masons

  • What parts of your business have been most affected by Big Data analytics?
  • What benefits did it bring to your business? Was it worth the investment?
  • What challenges did you have to tackle?
  • How are industries changing with proliferation of advanced data analytics solutions?

10.40 - 11.10 Case study. Hadoop in the enterprise - operating system for innovations

  • What changes can implementation of Hadoop bring to your organisation?
  • Best practices for enterprise Hadoop
  • Agile integration of Hadoop in your business. Hadoop Ecosystem and Architecture
  • What pitfalls to be aware of when putting Hadoop into practise within your enterprise?

11.10 - 11.40 Morning break and visit to exhibition area

11.40 - 12.00 Predictive analytics - making the most of your data

  • How can you differentiate your incoming data?
  • What are the real-life uses of predictive analytics?
  • What advantages can your business gain with implementation of predictive analytics?

12.00 - 12.20 Increasing importance of data governance

  • How to ensure good quality of your data? How good is good enough?
  • Best practises of data segregation and data management
  • Regulating the use of your business data

12.20 - 12.40 How to make use of unstructured data?

  • What techniques can ease the use of unstructured data?
  • What tools are available to process unstructured data?
  • What value can you get from unstructured data?

12.40 -13.00 Data visualisation - deciphering raw data

  • How to turn raw data into actionable insight?
  • How to make data analytics comprehensible, clear and accessible to non-technical employees?
  • What tools are delivering agile results?

13.00 - 14.00 Lunch, networking and visit to the exhibition area

14.00 - 14.50 Panel. Skills for the Big Data world

Chris Littlewood, Head of Science, Filtered

Taj Chowdhury, Information Management and Technology Officer, LSE

Wayne Ha, Head of Data and Analytics, Unique Digital

Anand Venu, Analyst, Transferwise

Deryn Graham, Senior Lecturer in Information Systems, University of Greenwich

  • How does emergence of Big Data and advance of the IoT impact traditional BI and data analytics roles?
  • Who are data scientists and do we have enough of them?
  • What skillsets and qualities should good data scientists have?
  • What is your organisation doing to find relevant people, retain them and decrease the talent gap?

14.50 - 15.20 Internet of Things - is it a really trillion dollar business?

Lee Scott-Douglas, Vice President Digital Strategy and Solutions, Barclaycard

  • Exponential increase of internet-based technology and data usage
  • Types of data coming from IoT devices and what can you do with this data?
  • What business opportunities does implementation of IoT unveil?
  • Challenges associated with these implementations

15.20 - 15.40 Afternoon break, networking and visit to the exhibition area

15.40 - 16.10 Case study. making vast amounts of data work for your business

Sarah Bullen, Principal Technologist, BBC

  • Where do you start?
  • How to make gathering and processing of Big Data efficient?
  • What opportunities and value can Big Data analytics bring to your business?

 16.10 - 17.00 Panel. Key trends and emerging technologies in advanced analytics

Josep Casals, Head of Data Engineering, British Gas Connected Homes

Natalia Konstantinova, Senior Software Engineer (Artificial Intelligence), First: Utility

Jason Francis-Sutton, UK Data Manager, SIG

Doug Johnson, Deputy Director of Applied Science and Scientific Consultancies, Met Office

  • How to keep up with evolving complexity of data?
  • What are projections and lifecycles of existing Big Data technologies?
  • What is the future of Big Data and Analytics?
  • IoT - reality or just hype?

 17.00 Closing remarks

 17.10 Drinks reception

Please note: This programme is subject to change

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