Programme List - AI & Machine Learning Live 2018
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Programme

08.30 – 09.00

Registration and breakfast

09.00 – 09.05

Opening Remarks

Stuart Sumner, Editorial Director, Computing, V3 and The Inquirer

09.05 – 09.25

Computing Research

09.25 – 09.55

Morning keynote: Today and Tomorrow: Artificial Intelligence and Machine Learning

David Hoyle, Lead Data Scientist and Head of Data Science, AutoTrader UK
  • Where is AI and ML at the moment?
  • Current research developments within the AI / ML space. 
  • The near-future: the imminent next steps for AI / ML technologies. 

09.55 – 10.40

Panel Discussion: Application, Value, Risk  

Natalia Konstantinova, Lead Software Engineer (R&D), First Utility
Wilson Sinclair, Head of Data Solutions, RBS PBB Analytics and Decisioning
Duncan Stott, Chief Information Officer, Kier
  • How will AI / ML provide ROI for your organisation?
  • What are the key business applications of AI / ML?  
  • Where are the most likely pitfalls of these technologies, and how can you over-come them?

10.40 – 11.10

Morning break, networking and visit to exhibition area

11.10 – 11.30

Darktrace: The future impact of AI in cyber-crime 

James Martin, Senior Manager, Darktrace 

 

  • Leveraging machine learning and AI algorithms to defend against advanced, never-seen-before, cyber-threats.
  • How new immune system technologies enable you to pre-empt emerging threats and reduce incident response time.
  • How to achieve 100% visibility of your entire business including cloud, network and IoT environments.
  • Why automation and autonomous response is enabling security teams to neutralize in-progress attacks, prioritise resources, and tangibly lower risk.
  • Real-world examples of subtle, unknown threats that routinely bypass traditional controls.

 

11.30 – 11.50

Rewind! Preparing your company for adoption

  • Value: is AI/ML suitable for your organisation?
  • Data: what steps need to be taken to make AI/ML worthwhile for your company?
  • People: how can you prepare your work-force for the implementation of AI/ML?

11.50 – 12.10

Efficient implementation of new technologies 

  • In what areas should your organisation be using AI /ML? 
  • Using AI / ML to optimise your business processes.  
  • Using and incorporating AI / ML into your business planning strategies.   

12.10 – 12.30

Under the spotlight: Machine Learning

 

  • The core differences between machine learning and artificial intelligence. 
  • The best areas to implement machine learning within the enterprise. 
  • The benefits and challenges machine learning present. 

 

12.30 – 13.30

Lunch break, networking and visit to exhibition area

13.30 – 14.00

Keynote: Is Machine Learning Science?

Charlie Ewan, Director of Technology / CIO, Met Office
  • What is a weather forecast?
  • How machine learning is used when physics is too expensive. 
  • Causation vs correlation in non-linear prediction. 
  • The future of forecasts for machine learning applications.  

14.00 – 14.45

Panel Discussion: They’re going to destroy us all?!

Orlando Machado, Chief Data Scientist, Aviva
Noriko Matsuoka, Lead Strategist - Emerging Experiences, Product Technology Strategy and Architecture, BBC
Armando Vieira, Data Scientist, Direct Line Group
  • How are innovators ensuring the ethical development of AI / ML technologies?
  • Who decides what is ethical?
  • How can we remove bias, and what should we do if we can’t?
  • How can we try to ensure goal alignment?
  • What are AI / ML best practices?

14.45 – 15.10

Case study: AI in the enterprise

Ian Penny, Group CIO, Hiscox
  • Practical application of AI within the enterprise.
  • Using AI as an additional layer to already existing tools.
  • The importance of clean data.

15.10 – 15.30

Afternoon break, networking and visit to exhibition area

15.30 – 15.55

Case study: You're Fired! Work-force evolution

  • The implementation of AI / ML to help with your evolving recruitment needs.
  • How will the skill-set within your organisation evolve through the implmentation of AI/ML? 
  • How to manage the transition towards technologies, and the freeing up of human labour.

15.55 – 16.40

Panel Discussion: The next big thing or the next big gimmick?

Alexandra Cristea, Professor of Computer Science, Durham University
Andr
é Freitas, Lecturer, School of Computer Science University of Manchester
Tom Kelsey, Reader of Health Data Science, University of St. Andrews

Zoë Webster, Director of AI and Data Economy, Innovate UK
  • Where will research take the direction of AI / ML in the future?
  • What are the future opportunities for AI / ML? How practical and valuable will these be to businesses and consumers alike?  
  • What is the next big project for AI / ML?

16.40 – 16.45

Closing remarks

Stuart Sumner, Editorial Director, Computing, V3 and The Inquirer

16.45 – 17.45

Drinks reception