Confirmed speakers include:
University of Oxford
Quantitative Research Developer - VP
DevOps Solutions Manager
Universidad De Colombia
Lead Data Scientist
CEO & Co-Founder
Sr. Manager - Financial Risk Management (Quant advisory)
Ernst & Young
Principal Data Scientist
Direct Line Group
Co-Founder & CEO
Université Pierre et Marie Curie
Global Head of AI
We contrast the impact of traditional news media and social media coverage on stock market volatility and trading volume. We develop a theoretical model of asset pricing and information processing, which allows for both rational traders and a variety of commonly studied behavioural biases.Read More
Our technology stack — based on advanced machine learning — turns billions of pieces of web-based information into structured, factual data describing where risk is distributed in the world.Read More
"Classification-based Financial Markets Prediction using Deep Neural Networks". In this paper Diego Klabjan helps describe how DNNs are used to predict movements in the financial market by explaining the configuration and training approach and demonstrating the application strategy.Read More
Discover advances in deep learning tools and techniques from the world's leading innovators across industry, academia and the financial sector. Speakers will share insights into recent breakthroughs in technical advancements and fintech applications including financial forecasting & compliance.
Learn about deep learning applications in the financial sector from algorithms to forecast financial data, to tools used for data mining & pattern recognition in financial time series, to scaling predictive models, to stock market prediction, to using blockchain technology.
A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the deep learning revolution. Learn from & connect with 200+ industry innovators sharing best practices to improve regulations, security and risk in the financial sector.