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Monitoring all Your Models with DataRobot MLOps Agent

lhaviland
Community Team
Community Team
1 0 3,177

(Part of an MLOps learning session series.)

Do you have machine learning models that are running outside of DataRobot? Is your organization using a set of diverse tools and platforms to deploy models, despite what IT wants? In this webinar we discuss how DataRobot can help manage ALL of your models regardless of where you deploy them; these include:

  • Models runnings as stored procedures in a modern database.
  • Models already in production, running on your infrastructure
  • Models deployed to edge devices

This session will explore and demonstrate how DataRobot's MLOps agent framework allows anyone to monitor models deployed externally, to DataRobot MLOps platform. Using the agent frameworks enables you to monitor service health, predictions over time, data drift, etc., through the GUI or API.

In this session, we provide an overview of the MLOps agent framework and walk through some examples.

Hosts

  • Timothy Whittaker (DataRobot, Customer Facing Data Scientist)
  • Rajiv Shah (DataRobot, Customer Facing Data Scientist)
  • Rewati Gautam (DataRobot, Use Case Engineer)
  • Meghan Burns (DataRobot, DataRobot Community)

More Information

  • If you’re a licensed DataRobot customer, search the in-app Platform Documentation for Managing Deployments and MLOps agent.

Let us know what you think!

Have questions not answered during the learning session? What to continue your conversation with Tim, Rajiv, and Rewati? Post Your Comment here or send email to learning_sessions@datarobot.com. We're looking forward to hearing from you!

Announcements
DataRobot Release 7.1 has Arrived!
Have a look at all the new features and enhancements in this release. Also, Richard (Senior Director of Product Marketing) will be hosting the DataRobot Release 7.1 webinar—make sure join that to hear all the details and ask your questions.

DataRobot + Zepl
The acquisition of Zepl and integration of its self-service data science notebook solution provides additional flexibility for data scientists who prefer to code. Jason's blog post provides an end-to-end DataRobot demo that uses Zepl notebooks. You can check out Zepl today.

New to DataRobot? Check out all the resources to help you get going quickly! See the quick index for Knowledge Base Resources and quick index for Learning Sessions to find links to some great learning content.