Closing the Production Gap with MLOps


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.


Philippe has been part of the AI Architect team at DataRobot, France for 2 years. His role is to support clients on the use of DataRobot, as well as the production of Machine Learning models and to ensure success of the organization's AI strategy. Before joining DataRobot, Philippe worked as a Big Data Architect at MAPR and at AXA France. His technical expertise includes AI, Big Data, and BI.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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