Summary
This research article discusses AI models and their integration with cloud tools, detailing various applications and challenges. It outlines the foundational principles of artificial intelligence and highlights how advancements in computing power, data accessibility, and algorithm design have facilitated the growth of AI. The article defines different types of AI models, including machine learning and deep learning models, and the role of cloud computing in enhancing AI capabilities. It presents various applications across industries such as healthcare, finance, and transportation, where AI models have improved process efficiency and decision-making. The research also includes a section on pre-trained AI models available through cloud services and discusses the advantages of deploying these models, such as cost savings and scalability. Additionally, it addresses challenges such as data security and model explainability that arise from integrating AI with cloud technologies, suggesting potential future directions for overcoming these issues.
