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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

MLOps is a set of practices that combines machine learning (ML) with traditional data engineering and DevOps to create an assembly line for building and running reliable, scalable, efficient ML models.

Big Data 278
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How to Build a CI/CD MLOps Pipeline [Case Study]

The MLOps Blog

We even had structured data from on-prem servers, which were pulled at regular intervals, processed, and stored in our RDS databases. Collaborative development and version control Version control is quite crucial in modern software development that helps teams keep track of changes to their code over time.

ETL 52