Deployment as a Critical Business Data Science Discipline

T. Davenport, Katie Malone
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引用次数: 12

Abstract

Column Editors’ Note: In this article, we focus on a key problem in industry: getting data science models deployed into production within organizations. The tasks and skills involved in deployment are often not considered as a key component of data science initiatives, but they are critical to data science success. We describe evidence of the deployment problem, the components of deployment, and how some campus-based business analytics degree programs attempt to inculcate deployment skills.
作为关键业务数据科学学科的部署
专栏编者注:在本文中,我们关注行业中的一个关键问题:将数据科学模型部署到组织内的生产中。部署中涉及的任务和技能通常不被认为是数据科学计划的关键组成部分,但它们对数据科学的成功至关重要。我们描述了部署问题的证据、部署的组件,以及一些基于校园的业务分析学位课程是如何尝试灌输部署技能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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