摘要
一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx记者在德国曼海姆的新闻报道，研究表明，“人工智能和机器学习是全球采购组织的关键技术，它们的美国时代仍处于萌芽阶段。本系统综述概述了最先进的文献和实践，其中46件符合纳入标准的作品被交互式地归类为11个用例群。”新闻记者从曼海姆大学获得了这项研究的引用，“这项工作遵循内容分析方法，通过20次访谈从经验上丰富了材料E估值，以通过三角测量评估集群的业务价值和实施的便利性。这是在运营和供应链管理领域首次系统回顾，利用计算机分类系统作为计算机科学中事实上的标准，以明确这些新兴技术的术语。”在将文献搜索与访谈结果相匹配时，发现所审查的文献与专家的评估之间存在不匹配。例如，聚类COS T分析值得更多的研究关注，也值得供应商的可持续性。此外，在操作领域似乎存在差距，许多人认为，由于数据的可用性，应该首先考虑这一点。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Mannheim, Germany , by NewsRx journalists, research stated, “Artificial intelligence and machine l earning are key technologies for purchasing organizations worldwide and their us age is still in a nascent stage. This systematic review offers an overview of th e state-of-the-art literature and practice, where 46 works meeting the inclusion criteria were interactively classified in 11 use case clusters.” The news correspondents obtained a quote from the research from the University o f Mannheim, “The work follows the content analysis approach where the material e valuation was empirically enriched with 20 interviews to assess the cluster’s bu siness value and ease of implementation through triangulation. This is the first systematic review in the area of operations and supply chain management utilizi ng the Computer Classification System as the de facto standard in computer scien ce for clarity in the terminology of these emerging technologies. In matching th e literature search with the interview results, a mismatch was found between the reviewed literature and the expert’s assessments. For instance, the cluster cos t analysis deserves higher research attention as well as supplier sustainability . Moreover, there seems to be a gap in the operational area, which many believe to be first considered due to data availability.”
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