ABSTRACT Artificial Intelligence (AI) and Machine Learning have enormous potential to transform businesses and disrupt entire industry sectors. However, companies wishing to integrate algorithmic decisions into their organization face multiple challenges: They have to identify use-cases in which artificial intelligence can create value, as well as decisions that can be supported or executed automatically. Furthermore, the organization will need to be transformed to be able to integrate AI-based systems into their human work-force. In addition, the more technical aspects of the underlying machine learning model have to be discussed in terms of how they impact the various units of a business: Where do the relevant data come from, which constraints have to be considered, how is the quality of the data and the prediction evaluated? The Enterprise AI canvas is designed to bring data scientist and business expert together to discuss and define all relevant aspects which need to be clarified in order to integrate AI-based systems into a digital enterprise. It consists of two parts, where part one focuses on the business view and organizational aspects, whereas part two focuses on the underlying machine learning model and the data it uses.

中文翻译：

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Enterprise AI Canvas 将人工智能集成到业务中

摘要 人工智能 (AI) 和机器学习具有改变企业和颠覆整个行业的巨大潜力。然而，希望将算法决策集成到组织中的公司面临着多重挑战：他们必须确定人工智能可以创造价值的用例，以及可以自动支持或执行的决策。此外，组织将需要转型，以便能够将基于人工智能的系统集成到他们的人力中。此外，必须讨论底层机器学习模型的更多技术方面如何影响业务的各个部门：相关数据来自哪里，必须考虑哪些约束，如何评估数据和预测的质量？企业 AI 画布旨在将数据科学家和业务专家聚集在一起，讨论和定义需要澄清的所有相关方面，以便将基于 AI 的系统集成到数字企业中。它由两部分组成，第一部分侧重于业务视图和组织方面，而第二部分侧重于底层机器学习模型及其使用的数据。