Intelligence Everywhere is predicated on the seamless integration of IoT networks transporting a vast amount of data streams through many computing resources across an edge-to-cloud continuum, relying on the orchestration of distributed machine learning models. The result is an interconnected and collective intelligent ecosystem where devices, systems, services, and users work together to support IoT applications. This paper discusses the state-of-the-art research and the principles of the Intelligence Everywhere framework for enhancing IoT applications in vertical sectors such as Digital Health, Infrastructure, and Transportation/Mobility in the context of intelligent society (Society 5.0). It also introduces a novel perspective for the development of horizontal IoT applications, capable of running across various IoT networks while fostering collective intelligence across diverse sectors. Finally, this paper provides comprehensive insights into the challenges and opportunities for harnessing collective knowledge from real-time insights, leading to optimised processes and better overall collaboration across different IoT sectors.

翻译：无处不在的智能建立在物联网网络的无缝集成之上，这些网络通过边缘到云端连续体中的众多计算资源传输海量数据流，并依赖于分布式机器学习模型的编排。由此形成了一个互联互通的集体智能生态系统，其中设备、系统、服务和用户协同工作以支持物联网应用。本文探讨了在智能社会（社会5.0）背景下，增强数字健康、基础设施和交通/出行等垂直领域物联网应用的无处不在智能框架的最新研究进展与原理。同时，本文为水平物联网应用的开发提出了全新视角，使其能够在不同物联网网络间运行，并促进跨领域的集体智能。最后，本文深入剖析了从实时洞察中汲取集体知识的挑战与机遇，从而优化流程并改善不同物联网领域间的整体协作。