Just getting started with this series? Make sure to explore the earlier posts Part 1, Part 2 and Part 3. Up until now, you have seen how ModelOps can solve your biggest machine learning challenges and that SAS and Microsoft, together, can help you deploy, govern and monitor your models […]
ModelOps in practice: How to call SAS models from Microsoft Power BI, part 4 was published on SAS Users.
Just getting started with this series? Make sure to explore Part 1 and Part 2. There are different ways you can use these two tools to accelerate model building, deployment and monitoring. Figure 1 summarizes best practices for conducting ModelOps using SAS Model Manager and Azure Machine Learning. Best practice […]
5 best practices for optimizing ModelOps with SAS® Model Manager and Azure Machine Learning, part 3 was published on SAS Users.
Just getting started with this series? Make sure to read part 1: How ModelOps addresses your biggest Machine Learning challenges. SAS and Microsoft make it easier for companies to address the challenges of machine learning model deployment, monitoring and governance. Specifically, SAS and Microsoft have built integrations between SAS® Model […]
How Microsoft empowers your ModelOps steps, part 2 was published on SAS Users.
SAS and Microsoft are working tirelessly to improve offerings and connectivity between SAS Viya and Microsoft Azure environments across industries.
Deploying SAS and open-source models to Azure Machine Learning has never been easier was published on SAS Users.