Building a production-ready predictive app for customer service — Alex Ingerman

Have you always wanted to add predictive capabilities to your application, but haven’t been able to find the time or the right technology to get started? In this session, learn how a smart application for predictive customer service can be built in the AWS cloud. We will walk through the process of labeling data, setting up a real-time data ingestion pipeline and using machine learning to make real-time predictions for messages arriving via social media channels. You will be able to later replicate everything shown on your own, using the provided sample code and training dataset.


Alex Ingerman leads the product management team for Amazon Machine Learning. He joined Amazon in 2012, after working on products including web-scale search, content recommendation systems, immersive data exploration environments, and enterprise email and content servers. Alex holds a Bachelor of Science degree in Computer Science, and a Master of Science degree in Medical Engineering.

Twitter: @alex_ingerman - Linkedin