Abstract: Without doubt, putting analytics into action is one of the biggest challenges across industries. To generate business value from analytics investments, organizations need to adopt ModelOps practices to streamline the way they validate and deploy analytical models. However, implementing a ModelOps approach is not a simple task as it involves many technical and non-technical (i.e. cultural, organizational) aspects.
In this session, we will discuss some of the technical key principles of ModelOps and we will demonstrate a pipeline approach to quickly move from development to test and production using a mix of Python, SAS® Viya and other CI/CD tools.
Bio: Hans has been supporting SAS customers in Germany, Austria and Switzerland as a Presales consultant and Solution Architect since he joined SAS in 2002. Currently, he is working in an international team of architects and developers which takes care for the EMEA region. His work is focused on enterprise architectures, Kubernetes and cloud technologies.