mlops
2 Topics๐๐ ๐๐ฌ ๐๐จ๐ญ ๐ญ๐ก๐ ๐๐ข๐ฌ๐ค. ๐๐ง๐ ๐จ๐ฏ๐๐ซ๐ง๐๐ ๐๐ ๐๐ฌ
This blog explores why the real danger lies not in adopting AI, but in deploying it without clear governance, ownership, and operational readiness. Learn how modern AI governance enables speed, trust, and resilienceโtransforming AI from a risk multiplier into a reliable business accelerator.135Views0likes0CommentsTransform Machine Learning Research into a Professional Product with Azure
Throughout my time at university, I have built any number of scikit-learn, Tensorflow, or PyTorch machine learning models. However, if we start building with Azure from the very beginning, Azureโs MLOps offering provides an end-to-end solution for the ML life-cycle, from training and building the model initially, to continually retraining / redeploying an up-to-date service. Azure MLOps can even help us compare model performances & automatically detect data drift1.9KViews0likes0Comments