Red Hat and IBM Leftovers
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2023-08-10 [Older] Simplify workstation deployments with Red Hat Enterprise Linux
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2023-08-10 [Older] Persistent volume support with peer-pods: Solution overview
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! Avi Alkalay ¡: Industrializing Machine Learning
Industrializing ML is about applying Software Engineering best practices to the whole AI modeling process since its first line of code. It is about Data Scientists focusing on math and stats at the same time that the AI artifact is casted as a software product aiming production environments. This is different from MLOps, which is commonly positioned as a mere wrapping activity that happens after and separated from AI modeling and before production. In the whole Industrialization practice, MLOps is a subset activity that happens in between, but quite apart, from both Data Scientists‘ work and the infrastructure. Industrializing Machine Learning contains MLOps, plus other concepts that are even more important.