On-Demand Webinar

Empower your ModelOps Journey
Maximizing Outcomes with SAS Model Studio
and Model Manager


Discover how to embark on an optimal ModelOps journey using SAS Viya tools across the analytics lifecyle

 Cost: Complimentary

In partnership with:

About the webinar

In the world of AI, models deployed into production are the singular proof point of productivity. But deployment is always a challenge – the infamous “last mile” of analytics. According to IDC, 90% of the models take more than 3 months to deploy. Lengthy delays mean wasted development efforts that never deliver their expected value.

SAS Viya automates the entire AI and analytics life cycle which can help your organization move quality analytic models through development, validation, deployment and monitoring as quickly as possible. Learn to effectively deploy your SAS and open source models into action using SAS Model Manager, a centralized model repository which provides complete visibility into your analytical processes, ensuring traceability and governance.

Why watch?

  • Learn how to bring data into SAS Viya and easy ways to explore your data prior to model building.
  • Explore methods to efficiently build and experiment different modelling techniques, algorithms & settings using SAS Model Studio.
  • Learn how to easily deploy & productionise your models using SAS Viya, and understand the functionality for validating and monitoring your models using SAS Model Manager.

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About the Speakers


Tamas Bosznay – Principal Consultant, Katalyze Data

Tamas acts as a technical lead in data analytics and data science projects across various industries including Financial Services, Public Sector, Retail and Healthcare. He supports customers with different toolsets around Data Engineering, Data Analytics, Data Science/Machine Learning and Business Solutions. 


George Beevers – Principal Systems Engineer, SAS

George has been working with SAS for nearly two decades with the vast proportion on the customer side. He specialises in modernisation and migration of existing workloads to Viya. He has a keen interest in understanding what current SAS platforms do and how to get them operating in Viya as soon as possible.