+++
title = "Trusted AI Lab"
weight = 30
chapter = true
pre = "<b>3. </b>"
+++

# Trusted AI Lab


In this lab, we will demonstrate how to generate datasets programmatically for building predictive models in SageMaker and port the notebooks into IBM Cloud Pak for Data. We will run the SageMaker notebooks in Watson Studio canvas and generate scoring endpoints for predictions.

## Use-cases

1) Build Time-Series models in SageMaker to **forecast future cases per Region & Country**.
2) Build multi-class classification model to predict the **Risk Index per Region** which will help the healthcare officials to be better prepared for handling the pandemic.

### Wider Applicability

The integrated solutions can be built for different domains like :

* Retail (Product recommendation)

* BFSI (Risk mitigation)

* Manufacturing (Optimize the capacity)

* Supply chain operations (Vendor management)