As The trajectory of the Internet of Things (IoT) is moving at a rapid pace, most companies and organizations are awash and drowning in massive amounts of data. Determining how to profit from data deluge and unlock its value can give companies an edge in the market because data have the potential to add tremendous value to many aspects of a business [A1]. The market has already seen a level of monetization across vertical domains e.g., in the form of layering connected devices with a variety of Insights-as-a- Service options. Out of this arena, the data economy concept has been evolving, characterized by correctly monetizing data rather than simply hoarding it, which will provide a significant advantage in a competitive digital environment [A1]. The recent advent of technological advances in the fields of Big Data, Analytics, and Artificial Intelligence (AI) has opened new avenues of competition, where IoT data is considered a living and evolving entity that can unlock enormous opportunities for monetization. Such growth brought forth a slew of new tools, architectures, business models, platforms, and marketplaces, enabling organizations to monetize data successfully. In this context, emerging business models also strive to alter the power balance between users and companies that harvest information by utilizing usage policy enforcement and privacypreserving machine learning techniques. Monetizing data goes beyond just selling data. It is also possible to include steps that add value to data. Generally, organizations can monetize data by 1) utilizing it to make better business decisions or improve processes; 2) surrounding flagship services or products with data; or 3) selling information to current or new markets [A1].

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关于人工智能驱动的物联网数据货币化的客座社论特刊：从价值孤岛到价值生态系统的转变


随着物联网 (IoT) 的快速发展，大多数公司和组织都淹没在海量数据中。确定如何从数据洪流中获利并释放其价值可以为公司带来市场优势，因为数据有潜力为企业的许多方面增加巨大的价值 [A1]。市场已经看到了跨垂直领域的一定程度的货币化，例如，以具有各种洞察即服务选项的分层连接设备的形式。在这个领域之外，数据经济概念一直在发展，其特点是正确地将数据货币化而不是简单地囤积数据，这将在竞争激烈的数字环境中提供显着的优势[A1]。最近大数据、分析和人工智能 (AI) 领域技术进步的出现开辟了新的竞争途径，物联网数据被认为是一个活生生的、不断发展的实体，可以释放巨大的货币化机会。这种增长带来了大量新工具、架构、业务模型、平台和市场，使组织能够成功地利用数据货币化。在这种背景下，新兴的商业模式也努力改变用户和通过利用使用策略执行和隐私保护机器学习技术获取信息的公司之间的权力平衡。数据货币化不仅仅是销售数据。还可以包括为数据增加价值的步骤。一般来说，组织可以通过以下方式将数据货币化：1）利用数据做出更好的业务决策或改进流程； 2）围绕旗舰服务或有数据的产品；或 3) 向当前或新市场出售信息 [A1]。