Programme List - AI & Machine Learning Live 2018
Menu

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: Artificial Intelligence: The Potential and The Reality

John Leonard, Group Research Director, Incisive Media 

A look at AI and Machine Learning in the UK today 

  • From BI to predictive analytics. 
  • Drivers and pitfalls. 
  • Current and future use cases. 

09.25 – 09.55

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

David Hoyle, Lead Data Scientist and Head of Data Science, Auto Trader 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  

Gaynor Collins Punter, IT Director, Health Research Authority
David Hoyle, Lead Data Scientist and Head of Data Science, Auto Trader UK
Natalia Konstantinova, Lead Software Engineer (R&D), First Utility
Wilson Sinclair, Head of Data Solutions, RBS PBB Analytics and Decisioning
Moderator: Graeme Burton, Group News Editor, Enterprise IT Incisive Media
  • 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

Dave Palmer, Director of Technology, Darktrace
  • How AI has a profound impact on our future internet, and the potential for it to enable digital criminals.
  • The complexity of business and protection, and how current defenders are being outpaced.
  • Machine learning and advanced mathematics as tools for handling complexity.
  • Real life examples and applications of attacks.
  • Inevitable rise of data theft and how best to protect yourself.

11.30 – 11.50

Rainbird Technologies: Bringing Explainable AI to the marketplace

Ben Taylor, CEO Rainbird Technologies

 

  • Trust in technology comes from understanding technology. 
  • A new regulatory landscape is taking shape - what will it mean for AI application? 
  • How (and why) we bring about Explainable AI.

 

11.50 – 12.25

In Conversation with Noriko Matsuoka

Noriko Matsuoka, Lead Strategist - Emerging Experiences, Product Technology Strategy and Architecture, BBC 
Host: Stuart Sumner, Editorial Director, Computing, V3 and the Inquirer
  • What is technology strategy and architecture?
  • How will the technology transform within the BBC?
  • Product strategy – where are the opportunities within the market?   

12.25 – 13.25

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
Moderator: Tom Allen, Special Projects Editor, Computing, V3 and The Inquirer
  • 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 – 15.50

Kortical: Practical Experience Delivering AI Faster and Better

Andy Gray, CEO & Co-Founder, Kortical

 

  • A guide to accelarating your AI/ML delivery with improved results. 
  • How to set your organisation up for AI adoption.
  • Suggested KBI's to measure outcomes and continue on your AI journey.
  • How Kortical can help you.

 

15.50 – 16.35

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

Alexandra Cristea, Professor of Computer Science, Durham University
André 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
Moderator: John Leonard, Group Research Director, Incisive Media

 

  • 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?

 

16.35 – 16.40

Closing remarks

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

16.40 – 17.40

Drinks reception