Lunch and Learn Series for TD Bank

Enterprise Model Manager Session 1

Available On-Demand

SAS ModelOps in Azure

SAS recommends a model management approach that combines model deployment and administration with business-driven decisioning. The integration of modeling with decisioning is critical for getting more models into production faster to produce more impactful results. Microsoft Azure provides a robust set of DevOps/MLOps tools and methodologies easily combined with SAS technologies to construct an enhanced set of model deployment and tracking options. This session will cover the SAS model operations approach and how it integrates with established Azure tools and technologies.

What you will take away from this session:

  • How SAS defines model operations and how it relates to Azure best practices
  • How SAS extends and simplifies what Azure MLOps offers
  • Why automating and standardizing model management is so important
  • An understanding of the advantages of including decisioning as part of model operations

Questions:
Sobhi.Memon@sas.com

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About our expert


Phil Weiss
Advisory Solutions Architect, SAS Canada

Phil was a SAS consultant for 10 years before joining SAS in 1998. His specialty is advanced analytics, model management, and forecasting with industry experience in financial services, pharmaceuticals, and manufacturing. He is also a recognized expert on high-performance computer architecture, programming, competitive intelligence, and cloud computing. Phil is a problem solver at heart, loves teaching others, and enjoys implementing applied solutions. He has a graduate degree in archaeology and uses his free time to indulge in history, creative writing, travel, and nearly all facets of pop culture..