The role of cloud computing in the evolution of the internet of things using artificial intelligence and machine learning

With the advancement of new technologies, the four main pillars of digital transformation, including cloud computing, Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), are simultaneously shaping the future of information technologies. Cloud computing, as a scalable and accessible platform, provides the ability to store and process huge data generated by IoT devices. These changes, together with artificial intelligence and machine learning, which have the ability to analyze complex data and make intelligent decisions, will elevate IoT capabilities to a new level.This article examines the role of cloud computing in the development and evolution of the Internet of Things. Using cloud computing, data generated by devices connected to the Internet of Things is collected, stored, and processed centrally. This process leads to reduced hardware costs, improved scalability, and increased flexibility of systems. In this regard, machine learning allows systems to automatically learn from collected data and make accurate predictions, and artificial intelligence helps in deeper data analysis and enables IoT systems to make optimal decisions that are in line with environmental changes and user needs. Together, these two technologies enable systems to adapt more effectively to changing conditions and optimize their performance. Finally, the article examines the challenges and opportunities arising from the combination of cloud computing, the Internet of Things, artificial intelligence, and machine learning, and provides solutions for better use of these technologies in various industries. These industries include healthcare, transportation, renewable energy, and smart cities. Research results show that the use of these technologies can lead to improved productivity, reduced costs, and increased security in IoT-based systems. This article not only emphasizes the importance of the convergence of these technologies but also points out the need to develop strategies to better exploit them in order to create innovation in different industries.