Without a 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.


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Workshop Overview

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    ODSC Europe 2020: ModelOps in Action with SAS Viya

    • Workshop Overview and Author Bio

    • ModelOps in Action with SAS Viya

Instructor Bio:

Principal Business Solutions Manager | SAS

Hans-Joachim Edert

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.

Senior Associate Data Scientist | SAS Global Technology Practice

Matteo Landrò

Matteo is a data scientist at SAS. He supports global initiatives and projects that involves advanced analytics and artificial intelligence technologies. He is passionate about helping companies transforming their business processes with analytics. Matteo has a MSc in Management Engineering from Politecnico di Milano, with a specialization in Industrial Management