An Introduction to the MLOps Tool Evaluation Rubric

Software Engineering Institute (SEI) Webcast Series

Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

4M ago 1:00:23

MP4•에피소드 홈

Organizations looking to build and adopt artificial intelligence (AI)–enabled systems face the challenge of identifying the right capabilities and tools to support Machine Learning Operations (MLOps) pipelines. Navigating the wide range of available tools can be especially difficult for organizations new to AI or those that have not yet deployed systems at scale. This webcast introduces the MLOps Tool Evaluation Rubric, designed to help acquisition teams pinpoint organizational priorities for MLOps tooling, customize rubrics to evaluate those key capabilities, and ultimately select tools that will effectively support ML developers and systems throughout the entire lifecycle, from exploratory data analysis to model deployment and monitoring. This webcast will walk viewers through the rubric’s design and content, share lessons learned from applying the rubric in practice, and conclude with a brief demo.

What Attendees Will Learn:

• How to identify and prioritize key capabilities for MLOps tooling within their organizations

• How to customize and apply the MLOps Tool Evaluation Rubric to evaluate potential tools effectively

• Best practices and lessons learned from real-world use of the rubric in AI projects

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