OVERVIEW
As more and more organizations are applying machine learning in production, efficient model delivery and integration into intelligent applications are becoming widespread challenges. Join us to see a machine learning CI/CD pipeline on OpenShift in action. Based on OpenShift and Open Data Hub capabilities, it automates model training, validation, and deployment. In the context of this demonstration, we are going to use the pipeline to update a predictive maintenance application in an industrial edge scenario.
Max Murakami
Red Hat
Specialist Solution Architect at Red Hat
Before joining Red Hat, Max Murakami was researching AI in the context of intrinsic motivation and autonomous learning. He then joined the IT industry and worked in ML engineering where he developed containerized micro services, integrated deep learning models, and looked after delivery and production of an NLP-based intelligent application. He is now a Specialist Solution Architect at Red Hat and helps customers tap into OpenShift as an AI platform to empower their data scientists and operationalize their machine learning workloads.
