Previous speakers listed below. The full speaker line up will be announced shortly. View the previous Deep Learning in Finance Summit here.
CEO & Co-founder
Team Lead Data Scientists
ABN AMRO Bank
Senior Manager Quantitative Analytics
Hanken School of Economics
Deep Learning Solutions Architect & Community Manager EMEA
Founding Managing Partner
Senior Data Scientist
"RiskRank: Measuring Interconnected Risk". Peter Sarlin proposes a joint measure of cyclical and cross-sectional systemic risk using RiskRank which is employed to aggregate risk measures. The paper provides an estimation of systemic risk from country-level risk and cross-border linkages.
Alpaca's mission is to democratize the institution-level digital asset management in capital markets such as quantitative financial analysis and trading automation using Artificial Intelligence. We currently provide a product called Capitalico, which helps traders build automated trading algorithms without any lines of programming code by simply highlighting the similar patterns in the historical
"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.
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.
Deep Learning Algorithms
Stock Market Prediction
Details to be confirmed shortly
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For enquiries about the event or to pay via invoice please contact the summit creator Ka Lai Brightley-Hodges via firstname.lastname@example.org
Chief Knowledge Officer, NASA
"Excellent event. Good combination of highly technical and broader presentation that gave me a good understanding of the current state and potential of the Deep Learning" RE•WORK Deep Learning Summit San Fran 2015
Director of IoT Market Strategy, Xively
"'I’ve been to countless IoT events, and this was hands down one of the most interesting. It was nice to see actual people building actual connected products giving their perspective." RE•WORK IoT Summit Boston 2015
Future & Emerging Technologies Unit
"RE•WORK provided a unique mix of technology, from the exploration of latest scientific findings to startups that can make them a reality" RE•WORK Technology Summit London 2014
22 November 2017, London
Leading minds in healthcare and machine intelligence will come together for an evening of networking and keynote presentations around tools & techniques set to revolutionise healthcare applications, medicine & diagnostics. Join us for a three course meal to support and showcase women in Healthcare and Machine Intelligence.
23 January 2018, San Francisco
Leading minds in machine intelligence will come together for an evening of networking and keynote presentations. Join us for a three course meal to support women in AI and Machine Intelligence.
25 January 2018, San Francisco
The next generation in predictive intelligence. Anticipating user & business needs to alert & advise logical steps to increase efficiency. The summit will showcase the opportunities of advancing trends in AI Assistants & their impact on business & society. What impact will predictive intelligence have on business efficiency & personal organization?