• Start date 23 Sep, 2024


• End date 25 Sep, 2024


• Venue New York, NY


• Website https://bit.ly/442p0MT

Examine the best use cases of machine learning techniques in quantitative finance strategies and discover actionable solutions to overcome challenges present with implementation.

In its 6th edition, the conference will showcase the best use cases of a range of machine learning techniques in various areas of quantitative finance to ensure added value. Addressing the biggest challenges when it comes to implementation including explainability, legacy systems and regulatory compliance, participants will gain insight into tried-and-tested solutions. Additionally, the conference will feature an exploration of emerging trends such as LLMs and quantum computing, illustrating the ways that these can advance processes crucial to optimal trading.

Key Sessions

• Master the integration of machine learning within legacy systems

• Assess the best strategies to build and manage talent around ML and AI technologies

• Adapt to the changed risk profile associated with machine learning adoption and maintain a robust risk management procedure

• Predicting uncertainty: uncover deep learning for better market prediction

• Harness the power of alternative data to unlock competitive edge

• Navigate complexity: ethical and regulatory consideration of applying machine learning in quantitative finance

For more information and discounts available send us an email at ayisp@marcusevanscy.com or visit the event website by clicking this link.