Agenda 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, V3 and The Inquirer

9.05 - 9.20 Computing research: the key characteristics shared by leaders in big data analytics

Tom Wright, Publisher, Computing

9.20 - 9.50 Keynote session. 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 discussion: The impact of Big Data analytics on business - lessons learnt

Nick Hough-Robbins, Global Data Programme Director, Specsavers

Peter Edwards, Associate Director, Arup

Ben Hutt, CEO, The Search Party

Alpesh Doshi, Managing partner, Redcliffe Capital

Luke Scanlon, Head of Fintech Propositions, 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?

Moderator: Graeme Burton, Group News Editor, Enterprise IT, Incisive Media

Have your say! Interactive poll I

10.40 - 11.00 Morning break and visit to exhibition area

Have your say! Interactive poll II

11.00 - 11.20 Applying probabilistic mathematics and machine learning to cyber threat defence

Sam Alderman-Miller, Account Manager, Darktrace

  • Detection of subtle, evolving network anomalies, using unsupervised machine learning
  • The significance of probabilistic approaches in threat prioritisation
  • Visibility of all network activity without overwhelming security analysts' teams
  • Examples of threats detected by Enterprise Immune System in real-world deployments

11.20 - 11.40 Your Big Data is machine data

Matt Davies, Head of Marketing, EMEA, Splunk

  • Getting the value out of vast data amounts
  • Stages of transforming machine data into real-time operational intelligence
  • Real world use cases across different industries

11.40 - 12.00 Cognitive systems: pioneering a new era of computing

Duncan Anderson, CTO, IBM Watson Europe

  • What are cognitive computing capabilities? What value can it bring to your business?
  • Exploiting the power of natural language processing and machine learning
  • Practical applications of cognitive systems - getting the most out of your data

12.00 - 12.20 Big Data, Analytics and Data Science - putting hypotheses into practice

Dave Shuttleworth, Principal Consultant, EXASOL

  • How can you transform your business with the use of Big Data analytics and data science?
  • Putting vast amounts of data into a logical framework that will help your business to improve customer satisfaction and boost profits
  • Using next-generation in-memory database engines to spearhead data science
  • What are the challenges when implementing analytics solutions within your organisation?

12.20 - 13.20 Lunch, networking and visit to the exhibition area

Have your say! Interactive poll III

13.20 - 14.10 Panel discussion. 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?

Moderator: Peter Gothard, Special Projects Editor, Enterprise IT, Incisive Media

Have your say! Interactive pall IV

14.10 - 14.40 Automated data anonymisation

Raffael Strassnig, VP Data Scientist, Barclays

  • What are the existing methods for data anonymisation?
  • Deeper insight into desirable properties such as k-anonymity, l-diversity, t-closeness
  • Putting algorithms at scale

14.40 - 15.00 Afternoon break, networking and visit to the exhibition area

Have your say! Interactive poll V

15.00 - 15.30 Case study. Technology enabling agile Business Intelligence:

Demeter Sztanko, Data Architect, Badoo

  • The pros and cons of Massively Parallel Processing (MPP)
  • Comparison of MPP and Hadoop related technologies such as Hive, Spark and Impala
  • Lessons learned at Badoo

 15.30 - 16.20 Champagne panel discussion. Key trends and emerging technologies in advanced analytics

Tim Palmer, CTO, The Exchange Lab

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

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

  • 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?

Moderator: Dan Worth, Deputy Editor, V3

*Champagne will be served during this panel discussion

 16.20 Closing remarks

 16.30 Drinks reception

Please note: This programme is subject to change

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