Artificial Intelligence and Machine Learning (AI & ML) 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.

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.

  • 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.

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Call for Participation

We are inviting speakers – thought leaders, subject experts and start up entrepreneurs – to share their knowledge and enthusiasm about their work and their vision in the field of AI, Machine Learning, Sentiment Analysis.

We understand that successful projects are written up as “White Papers”. Please share these with us. But projects that did not achieve their targets – “Black Papers” – are of interest to us too. They can be a very important topics of discussion / panels that you can present. Talk to us about both, we welcome your input.

Please complete the speaker’s response form and submit a proposal to present at this event.

Code of Conduct & Diversity

UNICOM’s Code of Conduct & Views on Diversity

We at UNICOM strive to be a leading provider of knowledge to the business community and to engage the global business community as a specialised provider of knowledge. We strive to do this maintaining a culture of co-operation, commitment and trust. We want every UNICOM conference and training day to be a safe and productive environment for everyone – a place to share research and innovation and to build professional networks. To that end, we will enforce a code of conduct throughout all our events. We expect cooperation from all participants to help ensure a safe environment for everybody.

Our approach is that our events are dedicated to providing a harassment-free experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity or religion. We do not tolerate intimidation, stalking, harassing photography or recording, sustained disruption of sessions or events, and unwelcome physical contact or sexual attention. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, Twitter and other online media. Event participants violating these rules may be sanctioned or expelled from the event without a refund at the discretion of the conference organisers. Please bring your concerns to the immediate attention of the event staff.

Diversity: In our endeavour to be the provider of knowledge to the business community, we understand that this depends on hearing from and listening to a variety of perspectives that come from people of all races, ethnicities, genders, ages, abilities, religions, sexual orientation, and military service. We welcome diverse speakers for all our events, we do not always fully achieve this goal, but it is an ongoing process.

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Previous Programme

  • Programme Chair: Professor Gautam Mitra, CEO, OptiRisk Systems/Visiting Professor, UCL -

  • 09:00 -

    Welcome and Introduction

  • 09:15 -

    Extracting Embedded Alpha in Social & News Data Using Statistical Arbitrage Techniques

  • 10:00 -

    Enhanced Trading Strategy using Sentiment and Technical Indicators

  • 10:45 -


  • 11:15 -

    Natural Language Processing for Event Extraction

  • 11:45 -

    Application of Generative Adversarial Networks (GANs) in Algorithmic Trading

  • 12:15 -

    Japanese Language News Classification for Investors

  • 12:45 -


  • 13:45 -

    Keynote 1 - Big Data Analysis in Finance Industry

  • 14:30 -

    Case Studies of How Moody’s Leverage on Technology to Resolve Corporate Pains

  • 15:00 -


  • 15:30 -

    Big Data Problems and Techniques in Finance

  • 16:00 -

    Why algorithmic trading in the real world is so different to academic experiments

  • 16:30 -

    Keynote 2 - Blowing Bubbles: Quantifying How News, Social Media, and Contagion Effects Drive Speculative Manias

  • 17:00 -


  • 17:30 -


Previous Speakers

Rajib Ranjan Borah

CEO iRage, India

Humberto Brandão

Federal University of Alfenas

Ernie Chan

QTS Capital Management, LLC.

Lei Chen

Hong Kong University of Science and Technology

Wendy Cheong

Moody’s Investors Services

Mohammad Yousuf Hussain


Juho Kanniainen

Tampere University of Technology

Gautam Mitra

OptiRisk Systems/Visiting Professor, UCL

Richard Peterson


Johnson Poh

Singapore Management University

Satoshi Shizume

Financial Technology Research Institute

Arun Verma

Bloomberg LP

Xiang Yu

OptiRisk Systems


4 people attend for the price of 3

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20 March

  • Super Early Bird until 12 January 2019 - HK$ 2000
  • Early Bird until 15 February 2019 - HK$ 2750
  • Standard Price - HK$ 3500
  • Buy Ticket
Super Early Bird End Date