Event detail

Name: AI & Machine Learning and Sentiment Analysis Applied to Finance London

From: 28 Jun 2017

To: 29 Jun 2017

Address: Millennium Gloucester Hotel, 4-18 Harrington Gardens, London, SW7 4LH, United Kingdom

Organizer: Unicom

Key speakers: Christina Erlwein-Sayer, Researcher, OptiRisk Tilman Sayer, Researcher, OptiRisk Gautam Mitra, Visiting Professor, UCL Enza Messina, Professor, University of Milano-Bicocca Ashok Banerjee, Professor, IIM Calcutta Giuliano De Rossi, Manager, Macquarie Research Anders Bally, Manager, Sentifi Xiang Yu, Manager, OptiRisk Systems Sanjiv Das, Professor, Santa Clara University Holger Knauer, Professor, Catana Capital Richard Peterson, Manager, MarketPsych Stephen Pulman, Professor, Oxford University Mandie Quartly, Manager, IBM

Web page: http://conferences.unicom.co.uk/sentiment-analysis/

Pricing: - variable, starting at GBP225

Description: 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.

AI and Machine Learning have emerged as a central aspect of analytics which is applied to multiple domains. AI and Machine Learning, Pattern classifiers and natural language processing (NLP) underpin Sentiment Analysis (SA); SA is a technology that makes rapid assessment of the sentiments expressed in news releases as well as other media sources such as Twitter and blogs. The conference addresses and explains how to extract sentiment from these multiple sources of information and showcases the advances that have taken place in the field of financial innovation.

Along with many of the highest-ranking speakers from our London events, we are inviting some new presenters; the focus is on the latest research and includes presentations by leading subject experts from all over the world, as well as a number of applications/case studies.

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


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