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.

Admiral Group
Adam Morton, Head of Data
AirbnB
Hamal Husein, Senior Data Scientist

Airbus Group
Alistair Nottle, Research Project Leader

Amazon
Chris Chabot, Technical Evangelist
American Express
Vernon Marshall, Senior Vice President & Functional Risk Officer
Argos
Kostas Perifanos, Data Science/Machine Learning
Arago
Chris Boos, CEO & Founder
Jedidiah Francis, Head of Data Science
Auto Trader
David Hoyle, Lead Data Scientist
Bank of England
Chiranjit Chakraborty, Data Scientist

Barclays
Noel Lyons, Director of Digital Design
BIOSS, Photobox, BBC, lastminute.com, ITV
Dominic Cameron, Group CTO, Director

Bosch
Oliver Sbanski, Head of Department
BP
Dr John Sandiford, Chief Data Scientist

Brainpool
Paula Parpat, CEO
British Gas
Peter Sueref, Head of IS Data Science
BT Openreach
Mai Le, Data Scientist
BT Research
Simon Thompson, Big Data and Customer Research
DeepMind
Mateusz Malinowski, Research Scientist

DreamQuark
Nicolas Meric, Chief Executive Officer
Dyson
Ryan den Rooijen, Head of Data
EDF
David Ferguson, Head of Digital Innovation
European Bank for Reconstruction and Development (EBRD)
Louise McCarthy, Director Digital IT Transformation

Shubho Sengupta, AI Research,
Financial Times
Aida Rodriguez, Lead Data Scientist

FirstCapital
Hazel Moore, Chairman & Co-Founder

First Utility
Natalia Konstantinova, Lead Software Engineer (R&D)
Ford Motor Company
Gaurav Kumar Singh, Google Cloud Developer Relations

GoCompare
Jackson Hull, CTO

Google Cloud
Melanie Warrick, Google Cloud Developer Relations

Guys & St Thomas' NHS Foundation
Dr Marius Terblanche, Critical Care Consultant & Telemedicine Lead
IBM Global Business Services
Karolin Nakonz, Executive Partner, Cognitive Process Transformation Leader
IBM UK & Ireland
Rupert Colchester, Blockchain Leader
IBM Watson
Senior Representative
Innovate UK
Paul Mason, Director - Emerging and Enabling Technologies
Intel
Peng Meng, Senior Engineer Big Data & Machine Learning

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

King's College London
Dr. Daniele Magazzeni, Lecturer in Artificial Intelligence
KPMG
Sima Reichenbach, Data Scientist
Lloyds Banking Group
Sophie Bialaszewski, Head of Innovation Culture
Lloyd’s Corporation
Craig Civil, Head of Data Innovation

Mercedes Benz
Devesh Raj, Data Scientist, Deep Learning AI
Met Office
Alberto Arribas, Head Informatics Lab

MMC Ventures
Dominic Sando, Associate,
NASA
Hamed Valizadegan, Senior Machine Learning Scientist
Next World Capital
Frederic Halley, Operating Partner
Paddy Power Betfair
Robin Hayden, Head of Data Architecture
Vishal Chatrath, CEO
RBC
Aaron Joahao Sun, AI Engineer

Royal Bank of Scotland
Andrew Lall, Legal Counsel

Singularity University
Dr Abdulrahman El-Hilly, Doctor at NHS and Impact Fellow
Sky News
Ana Jakimovska, Head of Product Management
Smedvig Capital
Joseph Knowles, Senior Associate
Snips
Dr Rand Hindi, Founder & CEO
Spotify
Marc Romeyn, Machine Learning Engineer
TechUK
Sue Daley, Head of Cloud, Data, Analytics and AI
Telegraph Media Group
Brian O'Halloran, Data Scientist

TLT
Emma Fox, Solicitor

Terradata
Dr. Yasmeen Ahmed
Director, Think Big Analytics, a Teradata Company

Turkish Petroleum Corporation
Mehmet Akif Magol, Senior Software Developer
Uber
Maneesh Mishra, Data Scientist
Trivago
Rami Al-Salman, Research and Machine (Deep) Learning Engineer
United Nations
Irakli Beridze, Senior Strategy and Policy Advisor
University College London Hospitals NHS Foundation Trust
Finn Catling, Clinical Research Fellow

University of Toronto
Christopher Beck, Professor of Mechanical and Industrial Engineering

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