An Integrated Approach Based on Artificial Intelligence and the Internet of Things to Adopt Applications in the Era of Digital Transformation

Gholami, Alireza

doi:10.22034/apj.2026.738079

An Integrated Approach Based on Artificial Intelligence and the Internet of Things to Adopt Applications in the Era of Digital Transformation

Author

Alireza Gholami ^¶

Department of Computer Engineering, Ha.C , Islamic Azad University, Hamedan, Iran

10.22034/apj.2026.738079

Abstract

The convergence of the Internet of Things (IoT) and artificial intelligence (AI), as one of the most central trends in digital transformation in the last decade, has created a new landscape in various industries, including manufacturing, transportation, energy, and smart cities. Despite the revolutionary potential of these technologies, their effective adoption and implementation face numerous challenges. The aim of this study is to provide a comprehensive framework for analyzing the factors affecting the adoption of artificial intelligence in IoT systems and to provide a proposed perspective to overcome existing barriers. This study, with an analytical-descriptive approach and using a systematic literature review, examines 46 authoritative articles published between 2018 and 2025. The theoretical framework of the study is based on the combined technology-organization-environment (TOE) model and the technology acceptance model (TAM). The literature analysis shows that the key applications of artificial intelligence in IoT include predictive maintenance, anomaly detection, real-time monitoring, and automated control. Facilitating factors include 5G infrastructure, organizational readiness, and skilled workforce, and major barriers include cybersecurity challenges, data quality, integration with legacy systems, and model scalability limitations. The proposed approach emphasizes the implementation of a hybrid architecture based on edge computing, federated learning, and software-defined networking (SDN) to overcome the existing challenges. This framework can serve as a roadmap for researchers and industry players on the path to AI-IoT-based digital transformation.

Highlights

Keywords

Artificial Intelligence

Internet of Things

Digital Transformation

Federated Learning

Edge Computing

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