Programme List - AI & Machine Learning Live 2019
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Programme

08.30 – 09.00

Registration and breakfast

09.00 – 09.10

Opening remarks

Stuart Sumner, Editorial Director, Computing

09.10 – 09.30

Delta Research: Deep Learning to Deep Fakes: the state of AI in 2019

John Leonard, Group Research Director, Incisive Media
  • Areas of technical advance.
  • Exisiting and emerging use cases.
  • The ethical dimension.

09.30 – 10.00

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

Zoë Webster, Director of AI and Data Economy, Innovate UK
  • What actually is, or isn’t, AI/ML?
  • Predominant areas where AI and ML are being utilised.
  • Current research developments within the AI / ML space.
  • Imminent next steps for AI / ML technologies.

10.00 – 10.20

Calligo: Enabling organisations to make the best-informed business decisions

Craig Parfitt, VP of Global Insight Services, Calligo

This presentation looks at the changing role and requirements of data science and why it's important to pick an AI solution that has been designed with Privacy and Ethics in mind to ensure your business benefits from the best customer insights and intelligence.

  • How businesses are transforming to consume complex data.
  • How AI is evolving.
  • How should businesses approach it?

 

10.20 – 10.50

Morning break, networking and visit to exhibition area

10.50 – 11.15

More acronyms? AI and GDPR

Kuan Hon, Director, Fieldfisher

The EU General Data Protection Regulation catches many AI/Machine Learning/Big Data projects or workstreams that involve ‘personal data'. More data is considered ‘personal' than many might expect. This session will cover:

  • Key legal issues and risks under GDPR.
  • The UK Information Commissioner's planned AI auditing framework etc.
  • Practical steps for GDPR compliance and risk mitigation.

11.15 – 11.55

Panel discussion: Who’s questioning their moral constitution?

Eoin Kenneally, Head of CX - Digital Transformation and Insight, Hermes
Natalia Konstantinova, Lead Software Engineer, Shell Energy
Zoë Webster, Director of AI and Data Economy, Innovate UK
Moderator: Tom Allen, Special Projects Editor, Incisive Media
  • Who decides what constitutes ethical development of AI / ML?
  • Are we able to remove subconscious bias from these technologies?
  • What are best practices for AI/ML and its application?

11.55 –12.25

Closing keynote: Design of everyday Artificial Intelligence: Friend or Foe?

Dr Patricia Charlton, Senior Lecturer, Open University

As part of the Institute of Coding (https://instituteofcoding.org/ )we have been investigating, researching and analysing the employability skills gap in effective development and use of smart technologies. This talk will look at some of the key challenges facing industry in utilising AI tools, in particular machine learning. Currently, organisations can purchase machine learning services and tools that they can configure and deploy. What are the potential barriers and opportunities to deploy these 'off-the-shelf' machine learning tools? Reflecting on the work of the Institute of Coding and research in this area, how can we, can we better prepare for everyday AI?

12.25 – 12.30

Closing remarks

Stuart Sumner, Editorial Director, Computing

12.30– 13.30

Lunch break, networking and visit to exhibition area

13.30

Conference ends