Key Capabilities: MLOps

Machine Learning models are only useful if they are operationalized and it’s important they continue to perform as expected despite changes in your production environment.

How do you ensure all your projects are designed with resilience in mind, and your teams can easily stay in full control of your model portfolio?

0:00-1:02 Intro
1:03-1:29 Dataiku Deployer
1:30-1:47 Scenarios (part 1)
1:48-2:03 Model Evaluation Store
2:03-2:11 Model Comparisons
2:12-2:19 Model Stress Tests
2:20-2:39 Scenarios, cont.
2:40-2:49 Automation Monitoring
2:50-2:59 Real-Time API Deployments
3:00-3:09 Collaborative Features
3:10-3:21 Outro

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