OPEN TALK: Real-time Machine Learning Applications at Gigascale


Lucas Beeler
Hazelcast, Principal Solution Architect

Lucas is a Principal Solutions Architect at Hazelcast, where he helps Hazelcast’s most demanding customers architect, design, and operationalize enterprise software systems. 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. 


Machine Learning is disrupting nearly every industry. AI-First is the new mantra for many, but how do you architect, develop and manage intelligent, real-time applications incorporating Machine Learning that can scale to handle modern workloads driven by Cloud and Edge?
In this talk, you will learn the most critical elements for achieving machine learning applications that can scale to any throughput or volume of interaction up to one billion events per second or more. Also covered will be how to integrate these applications with MLOps frameworks, and how to design for zero-downtime architectures as well as global scale multi-region.