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.

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.

Attend this event and earn GARP/CPD credit hours.

UNICOM 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.

  • 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.

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.



There are three main themes for the day:

Theme 1: Sentiment Analysis and Derivative Trading

Sentiment analysis until recently has not been applied to derivative trading; talks in this theme are novel and cover new ground

Theme 2: AI & Machine Learning applied to Finance

The studies and applications in this domain are growing at a great pace; the question is how to discover new sources of alpha and create strategies and signals. It is also related to alternative data as the use of multiple data sources exploit their hidden coupling

Theme 3: NLP and Sentiment Analysis applied to Finance

Text analysis, Natural Language Processing and analysis of News as well as investor sentiment is well established…New applications in trading, fund management and risk control continue to emerge


The panel sessions are scheduled in two parts Part 1 in the morning and Part 2 in the afternoon the closing session.
The panel sessions address three questions:

  • Where is the Deepest Alpha in Alternative Data…?
  • How to Apply Machine Learning to Discover Alpha in Multiple Data Sources…?
  • How to integrate AI Solutions to the Business Processes…?


Lucas Bruggeman

Managing Director Sentifi AG

Francesco Cricchio

Co-founder and CEO of Brain

Dr. Tom Davis

Director of Fixed Income and Derivatives Research

Jacob Gelfand

CFA, Director of Quantitative Strategy and Research, Investment Risk Management

Ronald Hochreiter

Docent & CEO, WU Vienna University of Economics and Business & Academy of Data Science in Finance

Claus Huber

Portfolio Manager, Deka Investment

Dan Joldzic

CEO, Alexandria

Christopher Kantos

Senior Equity Risk Analyst, Northfield

Kamilla Kasymova

Associate, Quantitative Research and Analytics, Northwestern Mutual

Gautam Mitra

CEO, OptiRisk System & Visiting Professor, UCL

Richard Peterson

Managing Director, MarketPsych

Andreas Pusch

CEO and Founder YUKKA Lab AG

Boryana Racheva-Iotova

Head of Risk and Quantitative Analytics | FactSet

Zryan Sadik

Quantitative Analyst and Researcher, OptiRisk Systems.

Matthias Uhl

Head Analytics & Quant Modelling at UBS Asset Management

Lily Yingyi Gu

Quant Reseacher, Bloomberg LP


Sentifi Gold Sponsor
IHS Markit Bronze Sponsor

Knowledge Partner

Supporting Bodies


Media Partners


4 people attend for the price of 3

  • Use the coupon code "UNI443" when booking.
  • Buy Ticket

End user

  • Very Super Early Bird until 9 July - CHF 195 
  • Super Early Bird until 31 July - CHF 275
  • Early Bird until 31 Aug - CHF 375
  • Standard Price - CHF 475
  • Buy Ticket

Consultants and vendors

  • Very Super Early Bird until 9 July - CHF 375
  • Super Early Bird until 31 July - CHF 475
  • Early Bird until 31 Aug - CHF 575
  • Standard Price - CHF 675
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