Summary
In this chapter, you dived deeper into the forecast accuracy metrics and learned how you can perform some analysis to better understand the performance of your predictors. In particular, you uncovered the impact any behavior changes in your datasets (data drift) can have on the accuracy of a forecasting exercise. You also learned how you can move away from using the console to integrate Amazon Forecast results into your business operations thanks to a serverless solution vetted by AWS and actively maintained.
Congratulations! This chapter concludes the part dedicated to forecasting with Amazon Forecast. In the next chapter, you will start your journey into time series anomaly detection!