On-Demand Webinar

Unlock the Value of Your Open-Source Analytics

Explore how a ModelOps strategy can improve lifecycle analytics performance and decision making.

About the webinar

Did you know less than 50% of models actually get deployed and more than 90% of models take more than three months to deploy? This means lost time and insight.

Join this webinar to discover the importance of a ModelOps strategy. We’ll share the life cycle of a typical open-source analytical model to highlight important aspects, the different roles and how the right tools can enable and simplify collaboration between them.

You’ll learn how to:

  • Build successful blocks and roles within your strategy.
  • Use tools for smooth transitions between lifecycle stages.
  • Employ responsible AI features to mitigate bias in analytical models.
  • Ensure analytical models are appropriately used because of automation pipelines.

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About the Experts

Tamara Fischer

Principal Data Scientist, Global Technology Practice, SAS

Tamara Fischer, a graduate statistician, has been working for many years in the role of Principal Solutions Architect, Analytics, at SAS in the DACH region. In this role she implemented solutions along the entire analytical life cycle from model development to model deployment. Currently she is working in an international team of Data Scientists and Architects which takes care of the EMEA region. Her work is focused on all analytical aspects of ModelOps - operationalizing decisions.

Hans-Joachim Edert

Principal Business Solutions Manager, Global Technology Practice, SAS

Hans has been supporting SAS customers in Germany, Austria and Switzerland as a Presales consultant and Solutions 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.