Abstract: This session will explore and demonstrate how DataRobot's MLOps can speed up deployment, monitor drift and accuracy, ensure governance and ongoing model lifecycle management, including how to do automation retraining and have challenger models in production. Also, this session will cover how to deploy and monitor models built outside of DataRobot.
Bio: Qian Zhao is a London-based data scientist at DataRobot who helps fintech, banking, and healthcare customers accelerate their machine learning capabilities by using the DataRobot platform. Before he joined DataRobot, Qian was a data science manager at PwC and Deloitte, where he led a team of data scientists, delivering innovative and cutting-edge AI and machine learning solutions to enterprise businesses. Qian received his Ph.D. in Neuroscience from UCL in 2012.