Organizational knowledge management with Big Data. The foundation of using artificial intelligence

Daniel Paschek, A. Mocan, C. Dufour, A. Draghici
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引用次数: 8

Abstract

Abstract In the following paper the relevance of Knowledge Management (KM) as a foundation of Artificial Intelligence (AI) systems will be analyzed. The purpose of the work is the presentation of mandatory framework conditions for using AI with a special view on knowledge management for Big Data. Therefore the mandatory definitions of the core components will be described theoretically supported by practical examples. Based on literature, there will be done research and presentation of existing applications the relation between the knowledge management in the organization and big data as core component. To identify the relevant topics of using Big Data for knowledge management an analysis will be held up with digital companies. In addition, the main advantages and disadvantages will be depicted. The finding of the paper will be a recommendation of the developed Artificial Intelligence Knowledge Model for using Knowledge Management and Big Data for Artificial Intelligence decisions within the company.
大数据下的组织知识管理。使用人工智能的基础
本文将分析知识管理作为人工智能(AI)系统基础的相关性。这项工作的目的是介绍使用人工智能的强制性框架条件,并对大数据的知识管理有特殊的看法。因此,将对核心组件的强制定义进行理论描述,并辅以实际示例。在文献的基础上,对组织中知识管理与大数据作为核心组件的关系的现有应用进行研究和展示。为了确定使用大数据进行知识管理的相关主题,将与数字公司进行分析。此外,主要的优点和缺点将被描述。本文的发现将成为开发的人工智能知识模型的推荐,用于在公司内部使用知识管理和大数据进行人工智能决策。
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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