Enhancing IoT Products through Integrated AI Capabilities: Enabling Seamless AIoT Implementation

Abstract

In the contemporary landscape of Internet of Things (IoT) products, mere incorporation of IoT functionalities falls short of meeting the evolving consumer expectations. The paradigm has shifted towards more sophisticated approaches, collectively referred to as Artificial Intelligence of Things (AIoT), wherein IoT devices are empowered by the integration of Artificial Intelligence (AI) capabilities. However, transitioning from conceptualization to realization proves to be a formidable challenge. Proficiency in AI is a distinct discipline requiring specialized expertise; lacking such competencies can lead to potential pitfalls such as wrong or unintended or unreliable results. The attractiveness of AI capabilities remains, prompting stakeholders to explore ways to either achieve expertise or enable user-friendly routes, thereby gaining a competitive advantage.. This paper introduces a novel proposition: the seamless integration of black box AI capabilities into IoT products. This integration stands to be universally applicable across diverse IoT products. The solution eliminates the need for data science expertise, while also providing a significant level of flexibility for end-users to enhance AI capabilities as per their needs. This article outlines the foundational concept of the suggested integration and elaborates on its potential to transition traditional IoT products into the AIoT realm.

Keywords

• aiot
• iot
• machine learning
• model
• artificial intelligence