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AI, Machine Learning and Sentiment Analysis Applied to Finance, 14-15 March 2017, Hong Kong

2017-01-17 18:46 2553

Find out how AI, Machine Learning and Sentiment Analysis are being applied to Finance in a new conference organized by UNICOM Seminars Ltd in Hong Kong on 14-15 March 2017.

LONDON, Jan. 17, 2017 /PRNewswire/ -- Technology innovations meet greatest success in business when these are entirely 'client focussed'. Developments in the retail sector, which is consumer-led, are addressing client demand for more personalised, faster and competitive services. Artificial Intelligence, Machine Learning and Sentiment Analysis are changing the way in which these services are offered. In particular, Financial Organisations are creating and leveraging such innovation in the domain of wealth management. This trend is now being taken on board by multiple innovators: academia, start-ups, technology companies and financial market participants. 

Topics to be covered include Pattern classifiers, NLP and AI applied to data, text, and multi-media; Sentiment scores combined with neo-classical models of finance; Financial analytics underpinned by qualitative and quantitative methods; Predictive and normative analysis applied to finance; Applications in Financial Markets. 

Dr Nitish Sinha, Senior Economist in the Federal Reserve Board, USA, delivers one of the keynotes presentations on "A New Perspective on the Value of Economic Forecasts".

To register, please visit  http://conferences.unicom.co.uk/sentiment-analysis-hong-kong/

PR Newswire Readers receive 20% discount on ticket prices!  Quote Coupon Code Prnasia

If you are interested in sponsoring AI, Machine Learning and Sentiment Analysis Applied to Finance in Hong Kong, please contact aqeela@unicom.co.uk

Hear from international speakers including:

  • Nitish Sinha (Federal Reserve Board, USA)
  • Pascale Fung (HKUST, Hong Kong)
  • Svetlana Borovkova (Vrije Universiteit Amsterdam, Netherlands)
  • Gautam Mitra (OptiRisk Systems, UK)
  • Keith Chan (The Hong Kong Polytechnic University, Hong Kong)
  • Ashok Banerjee (IIM Calcutta, India)
  • Enza Messina (University Milano Bicocca, Italy)

Who will benefit from this event?

  • Professionals in the FinTech sector
  • Quant teams from investment and hedge funds
  • High frequency traders
  • Prop trading desks of investment banks
  • Consumer/marketing analytics firms
  • Regulatory bodies
  • Risk managers
  • FX traders
  • Data Scientists
  • Analysts
  • Systematic traders

Registration is now open -- Early Bird price applies until 16 January 2017. For further information please contact us via email: info@unicom.co.uk or phone: +44 1895 256484.

Source: UNICOM Seminars Ltd
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