Summary
In this chapter, we walked you through how to apply machine learning to a data warehouse and explained the basics of ML. We also discussed how to overcome the challenges of implementing ML so that you can reap the benefits of ML in your organization.
These benefits contribute to increased revenue, better operational efficiencies, and better responses to changing business conditions. After this chapter, you now have a foundational understanding of the use cases and types of models you can deploy in your data warehouse.
In the next chapter, we will introduce you to Amazon Redshift ML and how you can start achieving business outcomes.
