Workshop Sessions: Closing the Production Gap with MLOps
Speaker Bio:
Asger Pedersen, ML Worldwide Technical Lead at Datarobot
Asger holds a master in Computer Science and has for many years been leading software development teams as the CTO of severals startup companies. Following that he has been helping many of the biggest enterprises around the world becoming successful with monitoring critical application services in production, and today at DataRobot he is focused on bringing some of the best practices from the DevOps world into the new growing field of MLOps, where some of the principles can be reused but where there is also a great need to have AI and Machine Learning specific capabilities to be able to scale in a standardised and governed way.
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 automatic retraining and have challenger models in production. Also this session will cover how to deploy and monitor models built outside of DataRobot.