Fostering new Vertical and Horizontal IoT Applications with Intelligence Everywhere

TL;DR

This paper explores the 'Intelligence Everywhere' framework, integrating IoT networks and distributed machine learning to enable vertical and horizontal applications across sectors like health, infrastructure, and mobility.

Contribution

It introduces a novel perspective for developing cross-sector horizontal IoT applications that foster collective intelligence and enhance IoT ecosystem capabilities.

Findings

Enhanced IoT application development in vertical sectors.

Proposed framework for cross-sector horizontal IoT applications.

Insights into challenges and opportunities for collective IoT intelligence.

Abstract

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.