Analysis of Use Cases for IOT Service Platforms Using AI/ML
Abstract
Many machine learning and artificial intelligence (AI) applications train their models using data gathered from IoT systems. The performance of AI models varies depending on the calibre and volume of data gathered for model training. The IoT platform serves as a hub for gathering and managing a variety of data, including text, photos, and sensory data. Building an effective AI/ML model requires excellent data management (DM). We examined current AI/ML technologies that can be included into an IoT platform in this article. We also look at possible applications for AI/ML services that make use of the information gathered by the IoT platform. In this study, oneM2M, a standardised IoT service layer platform, was used to analyse existing AI/ML technologies and application cases.
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