Post Syndicated from Brent Meyer original https://aws.amazon.com/blogs/messaging-and-targeting/the-intersection-of-customer-engagement-and-data-science/
On the Messaging and Targeting team, we’re constantly inspired by the new and novel ways that customers use our services. For example, last year we took an in-depth look at a customer who built a fully featured email marketing platform based on Amazon SES and other AWS Services.
This week, our friends on the AWS Machine Learning team published a blog post that brings together the worlds of data science and customer engagement. Their solution uses Amazon SageMaker (a platform for building and deploying machine learning models) to create a system that makes purchasing predictions based on customers’ past behaviors. It then uses Amazon Pinpoint to send campaigns to customers based on these predictions.
The blog post is an interesting read that includes a primer on the process of creating a useful Machine Learning solution. It then goes in-depth, discussing the real-world considerations that are involved in implementing the solution.
Take a look at their post, Amazon Pinpoint campaigns driven by machine learning on Amazon SageMaker, on the AWS Machine Learning Blog.