Congratulations on completing this chapter. In this chapter, we learned how to add ML capabilities to our dashboards. We learned how to add forecasting, including building complex scenarios with what-if analysis. We also learned how to configure narratives and customize them using the QuickSight narrative editor. Finally, we learned how to create outlier detections and perform contributor analysis for anomaly detection. With the capabilities we learned in this chapter, your users will be able to get access to rich visuals and narratives in natural language with simple calculations or more sophisticated ML-driven calculations.
At this stage, we have learned about most of the capabilities of QuickSight analysis, and by combining the knowledge you have learned so far in this book you can configure complex dashboards that provide rich insights for your business users. In the next chapter, we will learn how to embed these dashboards into your own custom application.