From Data to Decisions: The Important Role of ModelOps
From Data to Decisions: The Important Role of ModelOps


To be competitive, organizations have to put more models into production more rapidly than ever before. At the same time, data scientists have to ensure trust, repeatability and transparency in those models. ModelOps, a superset of MLOps, gives data scientists the capabilities they need to adapt quickly while maintaining model integrity. SAS and Red Hat will explore how ModelOps can be used to identify, address and solve these operational complexities. The outcome? Greater model productivity and efficiency that gets your organization from data to decisions faster.


As Executive Vice President and Chief Technology Officer, Bryan Harris is responsible for setting the technology direction for SAS and working with the executive leadership team to translate the organization’s strategic objectives and priorities into products and solutions. Harris has more than 20 years of experience researching and developing analytic techniques, enterprise search technologies, distributed computing and cloud architectures, and user experiences for both the federal and commercial industries. For nearly 10 years, he has been a critical senior leader of SAS R&D. Most recently, as Senior Vice President and Head of Engineering, Harris was instrumental in releasing the latest advancement of SAS® software, SAS® Viya®

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