AI, Machine Learning and Sentiment Analysis Applied to Finance 2017 | Simplesoft | 28 June 2017 | London, United Kingdom

Artificial Intelligence, Machine Learning and Sentiment Analysis are changing the way in which numerous client 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. 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.

Anders Bally
Sentifi

Ashok Banerjee
IIM Calcutta

Sanjiv Das
Santa Clara University, USA

Peter Hafez
RavenPack

Giuliano De Rossi
Macquarie

Christina Erlwein-Sayer
OptiRisk Systems

Holger Knauer
Catana Capital

Enza Messina
University of Milano-Bicocca, Italy

Gautam Mitra
OptiRisk Systems

Richard Peterson
MarketPsych, USA

Stephen Pulman
Oxford University/ TheySay Analytics

Mandie Quartly
IBM

Tilman Sayer
Advanced Logic Analytics

Xiang Yu
OptiRisk Systems

Raven Pack
Sentifi
Market Psych Data
Advanced Logic Analytic