How Bloomberg Uses AI to Speed Up Over-the-Counter Trading

Explore how Bloomberg leverages AI to enhance over-the-counter trading efficiency in this 24-minute conference talk. Discover the innovative use of machine learning models to detect financial instrument offers in group chats and emails, facilitating trillions of dollars in securities transactions annually. Learn about the critical role of Kubernetes custom controllers, including KServe and Kubeflow training operators, in various stages of the model development life cycle. Gain insights into the AI Engineering team's approach to building and maintaining services that support traders in implementing add-on features for more effective negotiations. Delve into the processes of data sampling, model training and distillation, A/B testing, and production deployments in Bloomberg's AI-driven trading ecosystem.

How Bloomberg Uses AI to Help Speed up Over-the-Counter Trading - Camilo Ortiz & Philipp Meerkamp