Accelerate MLOps and deliver intelligent applications

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Presented by

Natale Vinto and Subin Modeel

About this talk

Learn how data scientists build, test, and train ML models on Kubernetes hybrid cloud platforms such as Red Hat OpenShift. Next, we will explore how the integrated DevOps CI/CD capabilities in Red Hat OpenShiftⓇ (i.e., GitOps and Pipelines), allow us to automate and accelerate the integration of ML models into the application development process. Ultimately, these capabilities allow consistent, scaled application deployments, which also helps accelerate the frequent redeployment of updated ML models into production. Featuring: Natale Vinto, Principal Product Marketing Manager, Technical Product Marketing, Red Hat Subin Modeel, Principal Software Engineer, AI Center of Excellence, Red Hat
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Join this channel to learn best practices and insights on how to: containerize existing apps for increased cost efficiency, deliver new cloud-native and process-driven apps using microservice architectures, take an agile approach to integrate APIs and data, and do it all in a culture of collaboration using DevOps best practices.