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Operationalize Open Source Models with SAS Open Model Manager

Posted Oct 21, 2020 | Views 865
# Presentation
# Model Serving
# Sas.com
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Ivan Nardini
Customer engineer @ SAS

As a member of Pre-Sales CI & Analytics Support Team, I'm specialized on ModelOps and Decisioning. I've been involved in operationalizing analytics using different Open Source technologies in a variety of industries. My focus is on providing solutions to deploy, monitor and govern models in production and optimize business decisioning processes. To reach this goal, I work with software technologies (SAS Viya platform, Container, CI/CD tools) and Cloud (AWS).

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

Analytics are Open. According to their nature, Open Source technologies allows an agile development of the models, but it results difficult to put them in production. The goal of SAS is supporting customers in operationalize analytics  In this meetup, I present SAS Open Model Manager, a containerized modelops tool that accelerates deployment processes and, once in production, allows monitoring your models (SAS and Open Source).

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