AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs
IBM Journey to AI blog
AUGUST 12, 2024
It includes a range of technologies—including machine learning frameworks, data pipelines, continuous integration / continuous deployment (CI/CD) systems, performance monitoring tools, version control systems and sometimes containerization tools (such as Kubernetes )—that optimize the ML lifecycle.
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