Abstract
How has MLOps evolve? Take a glimpse of what you could've learned during ODSC . This focus area is where leading experts in the rapidly expanding fields of MLOps gather to discuss the latest advances, trends, and models in this exciting field.
From the creators and top practitioners, some of the topics you’ll learn ranging from ModelOps with SAS Viya, Model Training, Train and Deploy, Machine Learning Observability, Scaling and more!
Overview
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1
Gaining Machine Learning Observability
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Workshop Overview and Author Bio
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Before you get started: Prerequisites and Resources
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Gaining Machine Learning Observability
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2
How Retailers Can Automate AI/ML in Minutes
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Overview and Author Bio
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How Retailers Can Automate AI/ML in Minutes
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3
Scaling your ML workloads from 0 to millions of users
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Overview and Author Bio
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Scaling your ML workloads from 0 to millions of users
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4
From Research to Production: Performant Cross-platform ML/DNN Model Inferencing on Cloud and Edge with ONNX Runtime
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Workshop Overview and Authors Bio
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Getting Started
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Workshop Slides
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From Research to Production: Performant Cross-platform ML/DNN Model Inferencing on Cloud and Edge with ONNX Runtime
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