In this talk, you will learn how you can apply real-time machine learning on multiple human mobility datasets to provide real-time predictions, using Hazelcast, the Open-Source real-time data platform. The talk will address these challenges and provide solutions and best practices on how to optimize real-time machine learning predictions on human mobility datasets in the following areas: scalability, performance, failover, reliability, and data recovery.