How do you choose the right applications?
You have successfully framed your ML project as an anomaly detection problem, and you have collected some historical time series datasets. So, is Amazon Lookout for Equipment a good candidate to deliver the desired insights? Let's review some considerations that will help you to determine whether Amazon Lookout for Equipment is suitable for your anomaly detection scenario:
- Latency requirements
- Dataset requirements
- Use case requirements
Latency requirements
With Amazon Lookout for Equipment, training must happen in the cloud. If your data is not available in cloud storage such as Amazon S3, the first step will be to transfer it there.
At prediction time, inference will also happen in the cloud. You will need to send your most recent data to the cloud, and the trained model will be generated and also stored in the cloud. As inference happens in the cloud, you will depend on the network latency between your local...