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.

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