Mastercard’s Alexander Hughes, Ravishankar Rao, and Red Hat’s Diego Torres Fuerte discuss how Mastercard has transformed their Data Science Workbench (DSWB) to support advanced Machine Learning (ML) and Deep Learning (DL) applications. Mastercard leveraged Red Hat OpenShift to build a robust, scalable, and flexible architecture that enables rapid experimentation and deployment of AI/ML workloads. Their new platform utilizes containerization, cloud-native tools, and automated deployment pipelines to deliver faster model training times, scalability of resources, and enhanced support for complex ML/DL projects.
The team highlights the benefits they’ve observed, including improved operational efficiency, reduced time-to-market for new models, and increased innovation in AI and ML. The talk also covers the strategic decisions and lessons learned from our journey, providing insights for organizations looking to transform their data science capabilities and unlock the full potential of their teams.
OpenShift Commons Gathering Kubecon NA 2024
November 12, 2024, Live from Kubecon NA in Salt Lake City, Utah
Learn more at: https://commons.openshift.org
