Machine Learning in Quantitative Finance 2027

This event will explore best practices for scaling AI across quantitative finance, with a focus on moving AI from proof of concept to enterprise-wide deployment. Gain insights from real world case studies, expert led panels, and peer discussions on adopting Large Language Models (LLMs), Agentic AI, and machine learning across quantitative research, portfolio management, trading, and risk functions. Core discussions will focus on building AI-ready data foundations, deploying scalable AI infrastructure, strengthening model governance and validation, and integrating AI into investment workflows while maintaining appropriate human oversight.