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1-Day Financial Evolution Conference: AI, Machine Learning and Sentiment Analysis (Shanghai, China – March 24, 2020) – – Business Wire

DUBLIN–(BUSINESS WIRE)–The “Financial Evolution: AI, Machine Learning and Sentiment Analysis” conference has been added to’s offering.

This is a sophisticated conference that not only interrogates and explores the implications of AI & ML in the financial services industry but also goes on to identify the investment opportunities of sharing knowledge and exploiting IP in the finance domain.

Artificial Intelligence and Machine Learning (AI & ML) and Sentiment Analysis are said to predict the future through analysing the past – the Holy Grail of the finance sector. They can replicate cognitive decisions made by humans yet avoid the behavioural biases inherent in humans.

Processing news data and social media data and classifying (market) sentiment and how it impacts Financial Markets is a growing area of research. The field has recently progressed further with many new alternative data sources, such as email receipts, credit/debit card transactions, weather, geo-location, satellite data, Twitter, Micro-blogs and search engine results. AI & ML are gaining adoption in the financial services industry especially in the context of compliance, investment decisions and risk management.

Attend this event and earn GARP/CPD credit hours.

The supplier has registered this program with GARP for Continuing Professional Development (CPD) credits. Attending this program qualifies for 7 credit hours. If you are a Certified ERP or FRM, please record this activity in your Credit Tracker.

Key Benefits

Learn how you can benefit from the unprecedented progress in technological advances for yourself and your company

Find out about the impact of Quantum Computing and Alternative Data

Benefit from the experience of world class presenters from the UK, US, Europe and India/Hong Kong

Gain exclusive insights into pioneering projects in AI, Machine Learning & Sentiment Analysis in Finance

Programme includes the latest state-of-the-art research, practical applications and case studies

Enjoy excellent networking opportunities throughout the days with all participants, including presenters, investors and exhibitors.


(Previous Programme 2019 (Hong Kong))

08:30 – Coffee & Registration

Morning Chair: Professor Gautam Mitra, CEO, OptiRisk Systems/Visiting Professor, UCL

09:00 – Welcome and Introduction

09:10 – Blowing Bubbles: Quantifying How News, Social Media and Contagion Effects Drive Speculative Manias

Richard Peterson, CEO, MarketPsych

09:45 – Closing the Data Gap in the Artificial Intelligence Age with Semi – Supervised Learning

Sam Ho, CEO, ThinkCol.AI

10:15 – Panel 1: Alternative Data

Moderator: Gautam Mitra, CEO, OptiRisk Systems


10:45 – Coffee

11:15 – Regulation Of Fintech

Katherine Liu, Of Counsel, Stephenson Harwood

11:30 – Application of Generative Adversarial Networks (GANs) in Algorithmic Trading

Mohammad Yousuf Hussain, Data Scientist, Jasmine 22

12:00 – Panel 2: Protecting New Technologies in Finance

Moderator: Jonathan Chu, Partner, Stephenson Harwood


12:30 – Lunch

Afternoon Chair: Xiang Yu, Chief Business Development Officer, OptiRisk Systems

13:30 – Doing Business in Malta

Jennifer Shen May, Investment Promotion, Malta Enterprise

13:45 – Equity Trading Strategy using Sentiment and Technical Indicators

Xiang Yu, Chief Business Development Officer, OptiRisk Systems

14:15 – Technology Innovation for Asset Managers: the journey from traditional to systematic and AI investments

Kevin Kwan, Greater China Lead Financial Model Developer, Bloomberg

14:45 – Panel 3: Impact of AI in Finance

Moderator: Antoine Freches, Senior VP – FICC Trading, Haitong International Securities


15:15 – Tea

15:45 – Business Applications for AI in Finance

Carolina Hoffmann – Becking, Senior Consultant, Ernst & Young

16:15 – Reinforcement Learning and Quantitative Finance

Yifeng Hou, Quantitative Trading Lead, FinFabrik

16:15 – Using Machine Learning Techniques for Quantitative Investment Strategies: A Commodity Case Study

Antoine Freches, Senior VP – FICC Trading, Haitong International Securities

17:15 – Close of conference; Networking Drinks


Ivailo Dimov

Quant Research Solutions, CTO Office

Bloomberg L.P.

Ivailo Dimov is a senior quant at the Bloomberg L.P. CTO Office, where he provides quantitative and data science solutions to management, external and internal clients. He has worked on both traditional derivative, risk and alpha modeling as well as alternative data research. At Bloomberg, he has led projects on market consensus, broker-algo selection, recommendation systems, automated news and news topic modeling. Ivailo is also an Adjunct Professor at the NYU Courant Institute, where he teaches Data Science in Quantitative Finance.

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