AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs
IBM Journey to AI blog
AUGUST 12, 2024
MLOps aims to bridge the gap between data science and operational teams so they can reliably and efficiently transition ML models from development to production environments, all while maintaining high model performance and accuracy. AIOps integrates these models into existing IT systems to enhance their functions and performance.
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