The talk will cover how Graphflow uses Spark to power its real-time recommendation and customer intelligence platform.
We will cover how we use Spark and MLlib to process and analyze customer behavior data for recommendation and predictive analytics models. We will also give an overview of using Spark and Shark to power data aggregation and analytics for customer insights and front-end data visualization apps.
Nick is a Principal Engineer at IBM. He's a member of the Apache Spark PMC and author of Machine Learning with Spark. Previously, he co-founded Graphflow, a startup focused on recommendations and customer intelligence. He has worked at Goldman Sachs, Cognitive Match, and led the Data Science team at Mxit, Africa's largest social network. He's passionate about combining commercial focus with machine learning and cutting-edge technology to build intelligent systems that learn from data to add business value.