YoVDO

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

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Artificial Intelligence Courses Machine Learning Courses Kubernetes Courses A/B Testing Courses Model Development Courses Kubeflow Courses KServe Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

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


Taught by

CNCF [Cloud Native Computing Foundation]

Related Courses

Data Science in Action - Building a Predictive Churn Model
SAP Learning Applied Data Science Capstone
IBM via Coursera Data Modeling and Regression Analysis in Business
University of Illinois at Urbana-Champaign via Coursera Introduction to Predictive Analytics using Python
University of Edinburgh via edX Machine Learning con Python. Nivel intermedio
Coursera Project Network via Coursera