Marc Wyatt

Artificial Intelligence dominates trading conversations—but how much is hype, and where is the real value? This panel cuts through the noise to reveal practical AI applications transforming trading desks today, from macro-aware algos and anomaly detection to workflow automation and decision support. Panelists will share how their firms are building, training, and governing AI systems, as well as the compliance, infrastructure, and cultural shifts required to unlock ROI. Whether you’re just beginning your AI journey or looking to refine your edge, this session will help you pinpoint the highest-impact use cases for your desk. 

• Managing expectations and timelines for AI adoption and sophistication
• Developing overarching AI strategies instead of piecemeal implementations
• What efficiencies does AI in trading bring, and what do they actually look like?
• At what point will humans replace chatbots?
• What are the ramifications of the EU’s AI Act? 

Panelists:

Iro Tasitsiomi, Head of AI & Data Science, T. Rowe Price

Travis Ni, Head, Equities Trading Americas, GIC 

Successfully deploying LLMs on the trading desk hinges on robust data infrastructure—not just model performance. This panel dives into the data engineering required to support LLMs in production, from clean input capture to curated datasets built for the speed and specificity of trading environments. 

• How to capture and process high-frequency trading data for LLM applications
• Best practices for data labeling, storage design, and real-time pipeline optimization
• Meeting governance, auditability, and compliance standards when working with sensitive data; and
• Practical strategies for making LLMs operationally viable in fast-moving, regulated trading settings