Lucas is a principal architect at Hazelcast, where he helps Hazelcast’s most demanding customers architect, design, and operationalize enterprise software systems based around the Hazelcast platform. Before joining Hazelcast, Lucas held similar positions at GigaSpaces and GridGain, giving him a uniquely broad and deep understanding of the in-memory platform space. Lucas holds a B.S.E. in computer science from the University of Michigan.
Best Practices for Human Mobility and Real-time Machine Learning
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.