https://www.sigmoid.com/blogs/mlops-for-effective-ai-strategy/
Sigmoid
How to use MLOps for an effective AI strategy
“One of the foremost challenges in implementing MLOps is the difficulty in superimposing DevOps practices on ML pipelines. This is primarily due to the fundamental difference: DevOps deals with code, whereas ML is code and data….. Therefore, for machine learning in production, it is crucial to adopt a CI/CD/CT (continuous training) approach.”