Build modular AI pipelines with OpenShift AI and reusable components

This blog post discusses building modular AI pipelines using Red Hat OpenShift AI, emphasizing the importance of reusable components to streamline development. It highlights how these components facilitate data preprocessing, model training, and more, allowing AI engineers to focus on differentiation rather than redundancy. The article outlines the advantages of a modular approach, such as consistency, collaboration, and reduced onboarding time, while also covering practical aspects like repository structure and best practices for contributing components.