DataRobot Enterprise AI Platform: MLOps Demo

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DataRobot Enterprise AI Platform: MLOps Demo

A Day in the Life

DataRobot MLOps is the way to manage all your production models. In this demo, we walk through a typical day-in-a-life of a financial services company running a Center of Excellence for delivering ML in Production.

We'll see the types of administrative activities our MLOps engineer George performs, and understand how he works with Mary, our lead data scientist. George and Mary rely on each other to effectively build, deploy, and manage models for their company over their full lifecycle.

The demo covers:

  • Governed Approval Workflows
  • Monitoring (and troubleshooting) Service Health
  • Discovering the root cause of data drift and accuracy issues
  • Configuring humility rules
  • Importing models from GitHub to compare with the current production model i.e., champion/challengers

Finally, we will look at how easy it is for Ina our loan specialist to use the models George and Mary deliver. She does this using an automated AI application that Mary builds. This enables Ina to approve or deny loans with full confidence and trust in her decisions.

More information

Check out related articles in the communiuty:

If you’re a licensed DataRobot customer, search the in-app Platform Documentation for Humility tab, Deployment approval process, Challengers tab, or Service Health tab.

Version history
Last update:
‎09-15-2020 01:54 PM
Updated by:
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