Predicting with a custom model using AWS SageMaker
Amazon Web Services (AWS) is the biggest player in the cloud marketplace and that includes AI services. In this section, we will be using four different services:
- AWS SageMaker: A managed service for custom machine learning models
- S3: The object storage layer of AWS
- AWS Lambda: Serverless functions running in the cloud
- API Gateway: The way you expose external APIs on AWS
The purpose of this example is to teach you the basics of using a custom machine learning model from Salesforce. To fit within the available amount of space, we will be skipping several elements that would normally be considered best practice, so don't use this example directly in a production environment. However, you will get an appreciation of how these elements can be formed into a solution should you need to architect one in the future.
As always, we return to our Pickled Plastics Ltd. scenario for our requirements. The legal...
