Segment Enables Customers to Create Custom Recommendations with Amazon Personalize
Segment is a customer data infrastructure company that uses Amazon Web Services (AWS) to help its customers collect and unify data about their users and create personalized recommendations from that data with Amazon Personalize. The company processes 450 billion events per month, using thousands of Amazon Elastic Compute Cloud (EC2) instances, and runs more than 16,000 Docker containers on Amazon Elastic Container Service (ECS). According to Calvin French-Owen, CTO and co-founder of Segment, many of Segment's customers have a business-need to perform personalization with machine learning but don’t have enough training data to build the necessary prediction models. "It’s a beautiful synergy where they can spin up Segment really easily from day one and get going collecting all of their data,” says French-Owen. "Then, they can use that data to power recommendations without having to build out their own machine learning pipeline using Amazon Personalize."