Day 1

18 April 2018

AI in the Enterprise

Gartner predict that by 2021, 40% of new enterprise applications will include AI Technologies. AI and Machine Learning promise to solve a plethora of problems faced by enterprises today, from better decision making to increased efficiencies and cost savings, there seems to be an algorithm to solve it all. This session cuts through the hype to look at real-life case studies to see how AI is being applied by leading organisations.

09:00AM

AI in the Enterprise: Chair’s Welcome

Alexander Denev

Executive Director – Head of Quantitative Research and Advanced Analytics

IHS Markit

Associated Talks:

09:00AM - Day 1

View AI in the Enterprise: Chair’s Welcome

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. Alexander Denev, Executive Director – Head of Quantitative Research and Advanced Analytics, IHS Markit

09:15AM

Keynote: An Automation Revolution: The Smart Actions of Leading Companies

Professor Leslie Willcocks

Professor of Technology Work and Globalisation

The London School of Economics and Political Science

Associated Talks:

09:15AM - Day 1

View Keynote: An Automation Revolution: The Smart Actions of Leading Companies

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  • The real impact of  robotic process and cognitive automation on Enterprises
  • Cases of multiple business benefits being delivered.
  • How are organisations implementing and scaling automation projects? What are the challenges?
  • Will the robots really take all the jobs?  How can the workforce adapt?
. Professor Leslie Willcocks, Professor of Technology Work and Globalisation, The London School of Economics and Political Science

09:45AM

AI-Powered Search: Propelling data driven organisations into the information age

Hans-Josef Jeanrond

CMO

Sinequa

Associated Talks:

10:15AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

09:45AM - Day 1

View AI-Powered Search: Propelling data driven organisations into the information age

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Organisations need tools like Search augmented by Natural Language Processing, Machine Learning and Deep Learning, to extract actionable information from all enterprise data

. Hans-Josef Jeanrond, CMO, Sinequa

10:15AM

Keynote Panel: Building an AI Strategy for Enterprise

Alexander Denev

Executive Director – Head of Quantitative Research and Advanced Analytics

IHS Markit

Associated Talks:

09:00AM - Day 1

View AI in the Enterprise: Chair’s Welcome

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Hans-Josef Jeanrond

CMO

Sinequa

Associated Talks:

10:15AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

09:45AM - Day 1

View AI-Powered Search: Propelling data driven organisations into the information age

View Full Info

Peter Jackson

Chief Data Officer

Southern Water

Associated Talks:

10:15AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

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Pardeep Bassi

Head of Data Science

LV=

Associated Talks:

10:15AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

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Dennis Curry

Executive Director and Deputy Chief Technical Officer

Konica Minolta

Associated Talks:

10:15AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

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  • How are large companies deploying AI and machine learning?
  • How will AI redefine management strategies & make your business smarter
  • The latest updates and use cases in enterprise workflows
  • Selection & appointment of your tech platform
  • Measuring ROI and scaling AI projects

 

Moderator: . Alexander Denev, Executive Director – Head of Quantitative Research and Advanced Analytics, IHS Markit
. Hans-Josef Jeanrond, CMO, Sinequa
. Peter Jackson, Chief Data Officer, Southern Water
. Pardeep Bassi, Head of Data Science, LV=
. Dennis Curry, Executive Director and Deputy Chief Technical Officer , Konica Minolta

11:00AM

Networking Break

11:30AM

Conclusions and Recommendations of the House of Lords AI Select Committee report

Lord Tim Clement-Jones

Chair of the House of Lords Artificial Intelligence Select Committee and Co-Chair of the All Party Parliamentary Group on Artificial Intelligence 

UK Parliament

Associated Talks:

11:30AM - Day 1

View Conclusions and Recommendations of the House of Lords AI Select Committee report

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The House of Lords AI Select Committee report looks domestically and internationally at the implications and applications of AI and the role that the UK can play in developing it.

Recommendation to the UK government will cover how to:

  • Realise the opportunities presented by AI generally and in a number of key sectors
  • Tackle economic and Societal implications
  • Putting in place ethical oversight on the use of data and the use of AI
  • Build public trust /Public Engagement
  • Put in place future regulation or legislation where appropriate.
. Lord Tim Clement-Jones, Chair of the House of Lords Artificial Intelligence Select Committee and Co-Chair of the All Party Parliamentary Group on Artificial Intelligence , UK Parliament

12:00PM

Case Study: The role of AI in the workplace

George Zarkadakis

Digital Lead

Willis Towers Watson

Associated Talks:

12:20PM - Day 1

View Panel: The application of Deep Learning within an Enterprise

12:00PM - Day 1

View Case Study: The role of AI in the workplace

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  • Discussing the role of AI in the present and future workplace for tasks such as recruitment, talent development and HR operations
  • What will the impact of a AI based workforce be on the future of the human workforce?
  • Examples of using chatbots and other AI technologies within the modern workplace to improve processes from across Enterprise
. George Zarkadakis, Digital Lead, Willis Towers Watson

12:20PM

Panel: The application of Deep Learning within an Enterprise

Aditya Kaul

Research Director

Tractica

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David Hoyle

Lead Data Scientist & Head of Data Science

Autotrader

Associated Talks:

12:20PM - Day 1

View Panel: The application of Deep Learning within an Enterprise

02:30PM - Day 1

View Case Study: Using Machine Learning and Data Science to understand user patterns in website click events

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Armando Vieira

Data Scientist

Direct Line

Associated Talks:

12:20PM - Day 1

View Panel: The application of Deep Learning within an Enterprise

View Full Info

Simon Thompson

Head of Practice for Big Data and Customer Experience

BT Research

Associated Talks:

12:20PM - Day 1

View Panel: The application of Deep Learning within an Enterprise

03:00PM - Day 1

View Driving value from Enterprise AI

View Full Info

George Zarkadakis

Digital Lead

Willis Towers Watson

Associated Talks:

12:20PM - Day 1

View Panel: The application of Deep Learning within an Enterprise

12:00PM - Day 1

View Case Study: The role of AI in the workplace

View Full Info

  • How are large organisations deploying machine learning & data?
  • Is your organisation ready for machine learning and when should you use it?
  • Effectively using Deep Learning to gain competitive advantage and drive better customer experiences
  • What organisational challenges does implementing deep learning bring up?
Moderator: . Aditya Kaul, Research Director, Tractica
. David Hoyle, Lead Data Scientist & Head of Data Science, Autotrader
. Armando Vieira, Data Scientist, Direct Line
. Simon Thompson, Head of Practice for Big Data and Customer Experience, BT Research
. George Zarkadakis, Digital Lead, Willis Towers Watson

01:05PM

Networking Lunch

02:00PM

Afternoon Keynote: The path to AI Transformation – How organisations are taking it.

Nuno António

CTO for Analytics, Big Data and IoT for EMEA

Dell EMC

Associated Talks:

02:00PM - Day 1

View Afternoon Keynote: The path to AI Transformation – How organisations are taking it.

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Technology development is taking place at an exponentially increasing pace which us, as humans, are incapable of catching up with socially, culturally, politically and morally. The companies that are capable of leveraging their data and making it part of their own fabric are the ones that have proven to be most successful. AI comes into play as an extremely useful tool to augment our capabilities and makes us more productive, efficient and, simultaneously, allowing us to focus on tasks that are more creative and fulfilling. In this presentation, we will share our views and experience on how to create the best foundations to start or continue in this path to AI transformation.

. Nuno António, CTO for Analytics, Big Data and IoT for EMEA , Dell EMC

02:30PM

Case Study: Using Machine Learning and Data Science to understand user patterns in website click events

David Hoyle

Lead Data Scientist & Head of Data Science

Autotrader

Associated Talks:

12:20PM - Day 1

View Panel: The application of Deep Learning within an Enterprise

02:30PM - Day 1

View Case Study: Using Machine Learning and Data Science to understand user patterns in website click events

View Full Info

  • With over  50 million monthly visits to the AutoTrader UK website we capture a rich variety of search and click event data.
  • Analysing, visualizing, and understanding the main patterns and groupings within that data is a key goal for the Data Science team at AutoTrader.
  • To do this we have utilised big data processing frameworks such as Apache Spark to extract and pre-process the click event data, as well as applying visualizations and analysis techniques from other scientific domains.
  • I will give an outline of the approaches we have tried at AutoTrader UK, highlighting what worked well, what didn’t work so well, and potential next steps.
. David Hoyle, Lead Data Scientist & Head of Data Science, Autotrader

03:00PM

Driving value from Enterprise AI

Simon Thompson

Head of Practice for Big Data and Customer Experience

BT Research

Associated Talks:

12:20PM - Day 1

View Panel: The application of Deep Learning within an Enterprise

03:00PM - Day 1

View Driving value from Enterprise AI

View Full Info

  • What AI is and isn’t and how it is of use to business
  • Examples of AI systems beyond machine learning and common errors made trying to extract value from AI systems
  • A look at modern development practices and tools with examples of real life projects
  • Rules for success in determining which projects to address and avoiding failure
. Simon Thompson, Head of Practice for Big Data and Customer Experience, BT Research

03:30PM

Networking Break

04:00PM

From Zero to Deep Learning: how to integrate Deep Learning into your organization

Leonardo De Marchi

Lead Data Scientist

Badoo

Associated Talks:

04:00PM - Day 1

View From Zero to Deep Learning: how to integrate Deep Learning into your organization

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Deep learning at work. Best practices and examples from Badoo –  the world’s most widely used dating-focused social network.

. Leonardo De Marchi, Lead Data Scientist, Badoo

04:30PM

Panel: AI for Social Good

Aditya Kaul

Research Director

Tractica

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Georgina Hutchinson

Senior Advisor

Tony Blair Institute for Global Change

Associated Talks:

04:30PM - Day 1

View Panel: AI for Social Good

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John Shawe-Taylor

Professor of Computational Statistics and Machine Learning

University College London

Associated Talks:

04:30PM - Day 1

View Panel: AI for Social Good

View Full Info

James Hodson

CEO

AI for Good Foundation

Associated Talks:

09:50AM - Day 2

View AI for Good: Bridging Science and Industry for a Better Future

04:30PM - Day 1

View Panel: AI for Social Good

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  • How is AI being successfully applied to challenge problems
  • What are the potential uses of AI across various sectors that are essential for social good
  • AI’s impact across Health, Environmental Sustainability and Public Welfare
  • The opportunities and challenges that automation brings for developing countries

 

Moderator: . Aditya Kaul, Research Director, Tractica
. Georgina Hutchinson, Senior Advisor, Tony Blair Institute for Global Change
. John Shawe-Taylor, Professor of Computational Statistics and Machine Learning, University College London
. James Hodson, CEO, AI for Good Foundation

05:15PM

Session Close

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