<p style="text-align: justify;"><span lang="EN-US">The advent of cloud computing has revolutionized the IT industry, transforming the way organizations store, manage and process data. This paper provides a comprehensive overview of the beginnings of cloud services, tracing their evolution from early concepts to the sophisticated solutions we have today. In addition, the document highlights the main benefits and challenges associated with cloud services. </span><span lang="EN-US">This paper provides a s comparative study of IaaS, PaaS and SaaS, examining their architectures, functionalities and use cases. It explores the similarities and differences between these models, discusses their strengths and challenges, and analyzes their impact on organizations and end users. Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are the three main cloud computing service models, each offering different benefits and features. The document also discusses the major players in each category and offers insight into future trends and potential synergies between the three service models.</span></p>

<p style="text-align: justify;"><span lang="BS-LATN-BA">The automotive industry represents an important segment of the overall industrial development in the world. In order to respond to the ever-increasing demands of customers, the automotive industry tries to keep up with the most modern technologies, and in recent times this primarily refers to information and communication technologies. Software-implemented functions in new vehicles are constantly increasing and are absolutely at the top of all innovations implemented in new vehicles. Thanks to artificial intelligence technologies, new concepts such as self-driving cars are being developed, as well as various driver monitoring systems, road condition monitoring systems, etc. There is an increasing number of artificial intelligence-based systems that enable new vehicles with different functions. The mentioned systems imply the use of a large number of networked IoT devices that exchange large amounts of data. By increasing the degree of networking and information exchange, the number of cyberattacks on vehicles also increases, which affects vehicle safety. Also, proportionally with the increase in the number of such systems, the need for designing security methods, mechanisms, architectures and protocols for detecting and mitigating attacks on car communication grows. This paper presents the challenges of cyber security in the application of artificial intelligence in the automotive industry.</span></p>

Summary The automotive industry represents an important segment of the overall industrial development in the world. In order to respond to the ever-increasing demands of customers, the automotive industry tries to keep up with the most modern technologies, and in recent times this primarily refers to information and communication technologies. Software-implemented functions in new vehicles are constantly increasing and are absolutely at the top of all innovations implemented in new vehicles. Thanks to artificial intelligence technologies, new concepts such as self-driving cars are being developed, as well as various driver monitoring systems, road condition monitoring systems, etc. There is an increasing number of artificial intelligence-based systems that enable new vehicles with different functions. The mentioned systems imply the use of a large number of networked IoT devices that exchange large amounts of data. By increasing the degree of networking and information exchange, the number of cyberattacks on vehicles also increases, which affects vehicle safety. Also, proportionally with the increase in the number of such systems, the need for designing security methods, mechanisms, architectures and protocols for detecting and mitigating attacks on car communication grows. This paper presents the challenges of cyber security in the application of artificial intelligence in the automotive industry.