
AWS released an updated Machine Learning Lens for the Well-Architected Framework, adding a Sustainability pillar and enhanced guidance across six ML lifecycle phases to help organizations design and operate ML workloads according to best practices.


<div><p>This article introduces the updated AWS Well-Architected Machine Learning Lens, a framework for designing and operating ML workloads on AWS.</p><ul><li>Covers six ML lifecycle phases from business goals to monitoring workloads</li><li>Adds Sustainability as a new pillar alongside five existing Well-Architected Framework pillars</li><li>Provides cloud-agnostic best practices with AWS implementation guidance</li><li>Includes enhanced ROI measurement and business value assessment guidance</li><li>Incorporates new ML governance, hosting, and data preparation features</li><li>Designed for business leaders, data scientists, engineers, and compliance roles</li></ul><p>The ML Lens provides a structured approach to evaluate and architect ML implementations according to AWS best practices gathered from thousands of customer deployments.</p></div>


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