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Exercise 7: Monitor the model

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to use AI Factsheets in Cloud Pak for Data to track AI models in an organization.

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Exercise 6: Analyze the data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to use AutoAI in Cloud Pak for Data to analyze data and create a model.

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Exercise 5: Prepare the data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to use DataRefinery in Cloud Pak for Data to prepare data for analysis.

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Exercise 4: Govern the data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to profile and protect data in Cloud Pak for Data.

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Exercise 3: Collect the data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to virtualize data in Cloud Pak for Data.

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Exercise 1: Explore the Cloud Pak for Data environment

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to navigate the Cloud Pak for Data user interface.

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Exercise 2: Create a project for analyzing data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to create a project in Cloud Pak for Data to use for analyzing data.

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Managing ModelOps with IBM Cloud Pak for Data V4.6: Course scenario

This video introduces the business scenario that is followed in the Managing ModelOps with IBM Cloud Pak for Data V4.6 course.

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The Elements of AI (part 3): ModelOps on IBM Cloud Pak for Data

Nearly 50% of #AI models never make it from pilot to production. By adopting a developer mindset, data scientists can use #ModelOps to scale AI. See how with IBM Cloud Pak for Data. Learn more

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