The world of Capital Markets is changing. Soon there will be no room for traditional players without digital capabilities – markets will become increasingly efficient and the margin pool will shrink. Being the first to deploy a winning strategy from a particular data set (or group of data sets) requires asset managers to learn, build and master the latest computing techniques.
Artificial Intelligence and Data Science in Trading provides senior management from funds - fundamental to systematic - and investment banks with the latest tools and techniques to maximize margins and discover a competitive edge.
By attending, you will learn from 95 world-class speakers, from leading asset management companies, academia and technology providers. With over 400 attendees from all over the world, this is the most important gathering worldwide fully focused on AI techniques for alpha discovery, optimising portfolios and managing risk.
In addition to the individual speaker sessions and panel debates, the many networking opportunities allows you to meet with peers and international experts whose focus and challenges are completely aligned with yours.
Technology is now a critical competitive differentiator in capital markets. By attending the AI and Data Science in Trading event you will be part of an independent and impartial platform, providing a full and unbiased reflection of what matters in the market. Don’t miss the opportunity to network with 400+ C-level decision makers, asset management companies, funds and investment banks, who are looking to share their business challenges with their peers and to find cutting-edge solutions.
- Risk Management & Regulation
- Quantitative Trading Strategies for All Levels
- Data Analysis and Management
- The Latest Technological Advancements – from Quantum Computing to NLU
- Recruitment and Talent Sourcing
Join us in London, 16-17 September to benchmark your business and find your winning strategy.
"Excellent conference; I have been to several ML finance in the last 6 months; this was unequivocally the best."
Joseph Chiasson, Data Scientist