The SAS Data Science Blog
Advanced analytics from SAS data scientists
MLOps for Pirates and Snakes: The Sasctl Packages for R and Python
SAS Model Manager and the sasctl packages aim to create a seamless ModelOps and MLOps process for Python and R models. Python and R models are not second-class citizens within SAS Model Manager. SAS, Python, and R models can be easily managed using our no-code/low-code interface. This is an interface that can be extended to support a variety of use cases.
FINE flow analytics: locality and simplicity eat centrality and complexity for breakfast
A close look at the first of five DevOps ideals in Gene Kim's book, “The Unicorn Project."
Automating a shift-left CI/CD security workflow to track, report, and analyze software security vulnerabilities
SAS' Phuong Ngo demonstrates an automated shift-left CI/CD security workflow.