AWS Partner Network (APN) Blog

Tag: Amazon SageMaker Pipelines

Provectus-APN-Blog-041322

Machine Learning Infrastructure for Commercial Real Estate Insights Platform

Learn now Provectus looked into how machine learning models were prototyped and evaluated at VTS, and then delivered a template-based solution enabling their data scientists to more easily create Amazon SageMaker jobs, pipelines, endpoints, and other AWS resources. The resulting coherent set of templates, with usage cookbook and extension guidelines, was applied successfully on an ML model that predicted leasing outcomes.

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APN-Blog-SaaS-Multi-Tenant-MLaaS-031022

Implementing a Multi-Tenant MLaaS Build Environment with Amazon SageMaker Pipelines

Organizations hosting customer-specific machine learning models on AWS have unique isolation and performance requirements and require a solution that provides a scalable, high-performance, and feature-rich ML platform. Learn how Amazon SageMaker Pipelines helps you to pre-process data, build, train, tune, and register ML models in SaaS applications. We’ll focus on best practices for building tenant-specific ML models with particular focus on tenant isolation and cost attribution.

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