THE AI CONGRESS FEATURES ONE OF THE WORLD'S LARGEST EVER CONFERENCES COVERING THE LATEST DEVELOPMENTS AND COMMERCIAL OPPORTUNITIES OF ARTIFICIAL INTELLIGENCE

100+ Conference Speakers will deliver a wide range of presentations, case studies, briefing sessions and training workshops.

Speakers will include C-Level industry practitioners from a range of industries (retail, manufacturing, healthcare, banking, finance, law, healthcare and more), AI thought-leaders and experts, tech companies, investors and more.

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Admiral Group

Adam Morton, Head of Data

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AirbnB

Hamal Husein, Senior Data Scientist

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Airbus Group

Alistair Nottle, Research Project Leader

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Amazon

Chris Chabot, Technical Evangelist

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American Express

Vernon Marshall, Senior Vice President & Functional Risk Officer

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Argos

Kostas Perifanos, Data Science/Machine Learning

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Arago

Chris Boos, CEO & Founder

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Jedidiah Francis, Head of Data Science

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Auto Trader

David Hoyle, Lead Data Scientist

Bank of England

Chiranjit Chakraborty, Data Scientist

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Barclays

Noel Lyons, Director of Digital Design

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BIOSS, Photobox, BBC, lastminute.com, ITV

Dominic Cameron, Group CTO, Director

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Bosch

Oliver Sbanski, Head of Department

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BP

Dr John Sandiford, Chief Data Scientist

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Brainpool

Paula Parpat, CEO

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British Gas

Peter Sueref, Head of IS Data Science

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BT Openreach

Mai Le, Data Scientist

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BT Research

Simon Thompson, Big Data and Customer Research

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DeepMind

Mateusz Malinowski, Research Scientist

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DreamQuark

Nicolas Meric, Chief Executive Officer

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Dyson

Ryan den Rooijen, Head of Data

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EDF

David Ferguson, Head of Digital Innovation

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European Bank for Reconstruction and Development (EBRD)

Louise McCarthy, Director Digital IT Transformation

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Facebook

Shubho Sengupta, AI Research,

Financial Times

Aida Rodriguez, Lead Data Scientist

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FirstCapital

Hazel Moore, Chairman & Co-Founder

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First Utility

Natalia Konstantinova, Lead Software Engineer (R&D)

Ford Motor Company

Gaurav Kumar Singh, Google Cloud Developer Relations 

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GoCompare

Jackson Hull, CTO

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Google Cloud

Melanie Warrick, Google Cloud Developer Relations

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Guys & St Thomas' NHS Foundation

Dr Marius Terblanche, Critical Care Consultant & Telemedicine Lead

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IBM Global Business Services

Karolin Nakonz, Executive Partner, Cognitive Process Transformation Leader  

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IBM UK & Ireland

Rupert Colchester, Blockchain Leader

IBM Watson

Senior Representative

 

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Innovate UK

Paul Mason, Director - Emerging and Enabling Technologies

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Intel

Peng Meng, Senior Engineer Big Data & Machine Learning

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JustGiving

Richard T. Freeman, Ph.D., Lead Data Engineer and Architect

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King's College London

Dr. Daniele Magazzeni, Lecturer in Artificial Intelligence

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KPMG

Sima Reichenbach, Data Scientist

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Lloyds Banking Group

Sophie Bialaszewski, Head of Innovation Culture

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Lloyd’s Corporation

Craig Civil, Head of Data Innovation

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Mercedes Benz

Devesh Raj, Data Scientist, Deep Learning AI

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Met Office

Alberto Arribas, Head Informatics Lab

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MMC Ventures

Dominic Sando, Associate,

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NASA

Hamed Valizadegan, Senior Machine Learning Scientist

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Next World Capital

Frederic Halley, Operating Partner

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Paddy Power Betfair

Robin Hayden, Head of Data Architecture

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Vishal Chatrath, CEO

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RBC

Aaron Joahao Sun, AI Engineer

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Royal Bank of Scotland

Andrew Lall, Legal Counsel

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Singularity University

Dr Abdulrahman El-Hilly, Doctor at NHS and Impact Fellow

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Sky News

 Ana Jakimovska, Head of Product Management

Smedvig Capital

Joseph  Knowles, Senior Associate

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Snips

Dr Rand Hindi, Founder & CEO

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Spotify

Marc Romeyn, Machine Learning Engineer

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TechUK

Sue Daley, Head of Cloud, Data, Analytics and AI

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Telegraph Media Group

Brian O'Halloran, Data Scientist

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TLT

Emma Fox, Solicitor

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Terradata

Dr. Yasmeen Ahmed

Director, Think Big Analytics, a Teradata Company

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Turkish Petroleum Corporation

Mehmet Akif Magol, Senior Software Developer

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Uber

Maneesh Mishra, Data Scientist 

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Trivago

Rami Al-Salman, Research and Machine (Deep) Learning Engineer

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United Nations

Irakli Beridze, Senior Strategy and Policy Advisor

University College London Hospitals NHS Foundation Trust

Finn Catling, Clinical Research Fellow

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University of Toronto

Christopher Beck, Professor of Mechanical and Industrial Engineering

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Volv Global

Christopher M de M Rudolf, Founder & CEO


DAY 2

Stream A

09.00 Chairperson’s Opening Remarks

AI & The Consumer

09.10 How Virtual Agents Can Drive Dramatic Improvements in Customer Experience

Karolin Nakonz, Executive Partner, Cognitive Process Transformation Leader, IBM Global Business Services

 

09.35 A Case Study of Prowler.io

Vishal Chatrath, CEO, Prowler.io

 

10.00 Shaping the Customer experience through AI

Jedidiah Francis, Head of Data Science, ASOS.com

 

10.25 AutoTrader UK's experiences in using Machine Learning and Data Science to understand Consumer Behaviour

David Hoyle, Lead Data Scientist, Auto Trader

 

10.50 AI to Improve Customer Services/Customers' Experience

Mai Le, Data Scientist, BT Openreach

 

11.15 How Dyson is Using Big Data to Redefine the User Experience

Ryan den Rooijen, Head of Data, Dyson

 

11.40 A Case Study of BT Research

Simon Thompson, Big Data and Customer Research, BT Research

 

12.05 Conversational AI with Amazon Alexa

  • Advances in ML and AI: Building user experiences

  • What is the future of voice based experiences?

  • How to create your own using Amazon Alexa

Chris Chabot, Technical Evangelist, Amazon

 

12.30 A Case Study of Argos

Kostas Perifanos, Data Science/Machine Learning, Argos

 

12.55 Panel Discussion: The Issues of Privacy & Transparency

 

13.20 Exhibition & Networking

 

 

Manufacturing Focus

 

14.20 Machine Learning for Space Projects

  • Discussion of the areas the data science group at the intelligent system division of NASA ames works on

  • The applications of machine learning in space projects

  • Examples of machine learning applications for Hubble and Kepler

Hamed Valizadegan, Senior Machine Learning Scientist, NASA

 

14.45 Presentation Reserved

Devesh Raj, Data Scientist, Deep Learning AI, Mercedes Benz

 

15.10 Building the Future of Flight: How AI and Machine Learning can help us ‘make things fly’ faster, smarter, and more efficiently

  • Using Machine Learning and AI to understand manufacturing processes

  • How Airbus Central R&T is using and exploring AI

Alistair Nottle, Research Project Leader, Airbus Group

 

15.35 A Case Study of Jaguar Land Rover

Nigel Clarke, Manager - All Surface Autonomy and Advanced Sensing, Jaguar Land Rover

 

16.00 A Case Study of Ford Motor Company

Gaurav Kumar Singh, Machine Learning & Deep Learning Researcher, Ford Motor Company

 

16.25 Deep Learning in Automotive Embedded Systems

  • Example applications of AI / deep learning in automotive embedded systems

  • DL and handling of big data

  • The challenge of keeping performance level while dramatically reducing HW resource requirement

Oliver Sbanski, Head of Department, Bosch

 

16.50 Chairman’s Closing Remarks and Close of Conference

 

 

 

 

 

 

 

 

 

 

Stream B

Healthcare Focus

09.00 Chairperson’s Opening Remarks

 

09.10 Case Studies: AI in Healthcare, Where are we Heading?

 

09.35 Towards Automated Clinical Coding

  • The pitfalls of manual clinical coding and traditional automated systems

  • Using deep learning to produce rich representations of clinical notes, allowing more accurate coding

  • Learning more efficiently from training data and better coding of rare diseases

Finn Catling, Clinical Research Fellow, University College London Hospitals NHS Foundation Trust

 

10.00 Case Study of Guy’s and St. Thomas’ NHS Foundation

Dr Marius Terblanche, Critical Care Consultant & Telemedicine Lead, Guys & St Thomas' NHS Foundation

 

10.25 Case Study of Volv Partners

Christopher M de M Rudolf, Founder & CEO, Volv Global

 

10.50 Medical Applications of AI

Mehmet Akif Magol, Senior Software Developer, Turkish Petroleum Corporation

 

11.15 Efficient Processing of Patient Data

Developments in the Diagnosis and Treatment of Rare Diseases

 

 

Communications and Media

 

 

11.40 A Case Study of The Financial Times

Aida Rodriguez, Lead Data Scientist, Financial Times

 

12.05 Deep Learning at the Telegraph

  • NLP at the Telegraph - exploring and understanding the breadth of the content we produce.

  • Using NLP as a platform to provide readers with more relevant content.

  • The adoption of deep learning, using Tensorflow and Keras: our journey thus far

Brian O'Halloran, Data Scientist, Telegraph Media Group

 

12.30 A Case Study of Virgin Media

Harim Bakhsi, Data Scientist, Virgin Media

 

12.50 Competitive Creativity: How to Balance Innovative Product Development

Ana Jakimovska, Head of Product Management, Sky News

 

13.15 Exhibition & Networking

Energy & Utilities

 

14.20 Shortcuts and Pitfalls – Lessons from a Legacy Company on Getting Started in AI

  • Access to data

  • Skills

  • Value proposition

  • Ethics

  • Partnerships

David Ferguson, Head of Digital Innovation, EDF Energy

 

14.45 A Case Study of British Gas

Peter Sueref, Head of IS Data Science, British Gas

 

15.10 A Case Study of BP

Dr John Sandiford, Chief Data Scientist, BP

 

15.35 NLP Helping Business to be More Efficient

  • AI assisting people to excel at their jobs (case of AI helping customer support agents)

Natalia Konstantinova, Lead Software Engineer (R&D), First Utility

 

16.00 Chairperson’s Closing Remarks and Close of Conference

DAY 1

Stream A

09.00 Chairperson’s Opening Remarks

 

AI Means Business

 

09.10 How AI can Benefit Enterprises

Melanie Warrick, Google Cloud Developer Relations, Google Cloud

 

09.35 Realising the Potential of AI

Sue Daley, Head of Cloud, Data, Analytics and AI, TechUK

 

10.00 Explainable AI

  • The use of Machine Learning techniques and the issue of transparency/understanding of how decisions are made

  • Helping user of AI systems in critical applications (autonomous control, medical, financial, investment) to understand what the AI system is doing

  • Research on eXplainable Artificial Intelligence (XAI)

  • Recent advances and business opportunities around XAI

Dr. Daniele Magazzeni, Lecturer in Artificial Intelligence, King's College London

 

10.25 World Markets in AI: Global Forecasts, Revenue by Region, Regional Developments

 

10.50 Opportunities for Business and the Work Innovate UK is Doing to Help Companies to Leverage Them

  • Specific applications of ML in defined environments

Paul Mason, Director - Emerging and Enabling Technologies, Innovate UK

 

11.15 Exhibition & Networking Break

Investment

 

11.35 Start-ups: How to Secure the Investment You Need

Frederic Halley, Operating Partner, Next World Capital

 

12.00 AI – What is the Outlook for Exits?

  • With a lot of start-ups jumping on the AI bandwagon to attract investment, what are the acquirers looking for?

  • What deals are being done?

  • Where are the real opportunities for investors to make money?

Hazel Moore, Chairman & Co-Founder, FirstCapital

 

12.25 How Will AI Change Investing?

Joseph Knowles, Senior Associate, Smedvig Capital

 

12.50 Case Study by MMC Ventures

Dominic Sando, Associate, MMC Ventures

 

Tech & the Enterprise

 

12.15 The role of AI, Deep Learning and Machine Learning in delivering value from data

Dr. Yasmeen Ahmed, Director at Think Big Analytics, A Teradata Company

 

12.40 Apache Spark MLlib Optimization - a Case Study of Boosting the Performance of ALS

  • ALS as a recommendation algorithm in Apache Spark MLLiB, and in JD.com’s recommendation system.

  • Methods to boost the performance of ALS on JD’s production environment, including rewriting the function of recommendations

  • CartesianRDD compute optimization, how to select between f2jBLAS and NativeBLAS, the best settings for the cluster and ALS parameters

Peng Meng, Senior Engineer Big Data & Machine Learning, Intel

 

13.05 Exhibition & Networking

 

14.05 How Voice is Making Technology Disappears

  • Voice as the new computing platform

  • What products are utilising this technology?

  • Privacy as a major concern. Ways to protect it and comply with the GDPR

Dr Rand Hindi, Founder & CEO, Snips

 

14.30 Panel Discussion of CEOs: The Value of AI to the Enterprise: Assessing the Current Opportunities and Challenges for Businesses

 

14.55 A Case Study of IBM Watson

Senior Representative, IBM Watson

 

15.20 Towards Complex Reasoning: From Image Classification to Visual Question Answering

  • Evolution of the computer vision datasets and tasks

  • Focus on early days of unimodal tasks such as image classification, object detection and multimodal tasks such as image captioning, and visual question answering

  • Limitations of image classification

  • Introduction to visual question answering task

  • Deep learning approaches to answer questions about image

  • Presentation of the recent results on a synthetic visual question answering task that requires a complex chain of reasoning to answer questions about images

Mateusz Malinowski, Research Scientist, Deepmind

 

15.45 2018: Putting the "A" and "I" in Blockchain

Rupert Colchester, Blockchain Leader, IBM UK & Ireland

 

16.10 Image Recognition, Classification and Tagging

 

16.35 Developments and Opportunities in Virtual Reality Assistants

 

17.00 Chairperson’s Closing Remarks and Close of Conference

Stream B

Case Studies of Enterprises

11.35 Chairman Introduction

 

11.45 A Case Study of Arago

Chris Boos, CEO, Arago

 

12.10 Presentation TBC

Dominic Cameron, Group CTO, Director, BIOSS, Photobox, BBC, lastminute.com, ITV

 

12.35 A Case Study of Facebook

Shubho Sengupta, AI Research, Facebook AI Research (FAIR)

 

13.00 Exhibition & Networking

 

14.05 AI at Spotify
• Learnings so far
• Best practices
• Applications

Marc Romeyn, Machine Learning Engineer, Spotify

 

14.30 A Case Study of Starship

Senior Representative, Starship

 

14.55 A Case Study of Admiral Group

Adam Morton, Head of Data, Admiral Group

 

15.20 Using AI in a 300 Year Old Business

  • The problems we had

  • The opportunity for using AI to solve it

  • What did we do and how did we do it

  • What was the outcome

  • What next

Craig Civil, Head of Data Innovation, Lloyd’s Corporation

 

15.45 Adoption Challenges and Strategies

• Enabling real organisations to adopt more intelligence; battling latent scepticism, fear of change and short term financial pressures

• A discussion of the current challenges and plausible strategies for moving past them

Robin Hayden, Head of Data Architecture, Paddy Power Betfair

 

16.10 A Case Study of Uber

Maneesh Mishra, Data Scientist, Uber

 

16.35 Artificial Intelligence at the United Nations- Contribution towards SDGs
• The benefits of AI as a tool to help meet the United Nations Sustainable Development Goals
• UN, agencies and Member States - a need to avoid stifling innovation and improving well-being
• The wide range of economic, demographic, environmental, legal and political implications of AI
• Minimising risks and maximising benefits; bringing together the various communities, unifying national and international, public and private, academic and practitioner

Irakli Beridze, Senior Strategy and Policy Advisor, United Nations

 

17.00 A Case Study of the Met Office

Alberto Arribas, Head Informatics Lab, Met Office

 

17.25 Chairperson’s Closing Remarks and Close of Conference

Stream C

Banking and Finance Focus

11.35 Chairman Introduction

 

11.45 Can A.I. Replace Human Analysts?

  • Meeting demand - Investing in innovative technologies such as Artificial Intelligence and Deep Learning

  • Logic and experience vs. Machine Learning and historical data

  • Mimicking a financial analyst’s behaviour. The challenges in terms of Deep Learning’s speed, accuracy and reliability

Aaron Joahao Sun, AI Engineer, RBC

 

12.10 Case Study of Featurespace

Senior Representative, Featurespace

 

12.35 Machine Learning in Central Banking and Economic Policy Analyses

Chiranjit Chakraborty, Data Scientist, Bank of England

 

13.00 Exhibition & Networking

 

14.05 Case Study: AI Implementation in Mainstream Decision Making in Banking & Finance

Vernon Marshall, Senior Vice President & Functional Risk Officer, American Express

 

14.30 Case Study of Ravelin

Senior Representative, Ravelin

 

14.55 Machine Learning and AI to Combat Financial Crime

  • Financial Crime

  • Machine Learning

  • Natural Language Processing

  • Network Analysis

  • Webscraping

Sima Reichenbach, Data Scientist, KPMG

 

15.20 Panel Discussion:

Senior Representative, DreamQuark

 

15.50 A Case Study of Barclays

Noel Lyons, Director of Digital Design, Barclays

 

16.15 Innovation Value for Money Delivery of Digital Transformation Bringing the Business on the Journey

Louise McCarthy, Director Digital IT Transformation, European Bank for Reconstruction and Development (EBRD)

 

16.40 Fostering a Culture of Innovation / Intrapreneurship

  • Lloyds Banking Group’s Innovation ecosystem

Sophie Bialaszewski, Head of Innovation Culture, Lloyds Banking Group

 

17.05 Case Study by Royal Bank of Scotland

Andrew Lall, Legal Counsel, Royal Bank of Scotland

Emma Fox, Solicitor, TLT

 

 

Travel and Technology

 

17.30 Automated Machine Learning

  • A Paradigm Shift That Accelerates Data Scientist Productivity

  • Improving data science at Airbnb

  • Exploratory data analysis

  • Feature transformations

  • Algorithm selection and hyper-parameter tuning

  • Model diagnostics

  • Automated machine Learning (AML)

Hamel Husain Senior, Data Scientist, Airbnb

 

17.25 Machine (Deep) Learning and Its Applications to Hotel Search Problems

  • Artificial Neural Networks

  • Word Embedding

  • Deep Learning 

  • Image Search

Rami Al-Salman, Research and Machine (Deep) Learning Engineer, Trivago

 

17.50 Chairman’s Closing Remarks and Close of Conference