Enhancing AI through Cloud Infrastructure Empowerment
Keywords:
Artificial Intelligence, Cloud Computing, Federated Learning, AutoML, Edge Computing, Data ManagementAbstract
The combination of artificial intelligence (AI) with cloud computing implies a promising future of novel technological solutions that have shifted the ways of creating, implementing, and maintaining AI systems. This paper aims at discussing the mutual synergy of AI and cloud technologies and how cloud solutions support and improve AI. Turning to the core elements of the work, we examine the premises of both AI and cloud computing, their mutual relationship. The paper aims to look into the extent to which cloud infrastructure has transformed the future for the development of AI, particularly with reference to the challenges of scalability and the possibilities of accessing high powered computing, not to mention the added bonus of cost efficiency. New techniques like Federated Learning, AutoML, and AI as a service are shared while contemplating ways of enabling AI to be a breakout of the circle of its enthusiasts. The article also discusses emerging forms of cloud computing, such as edge computing, serverless computing, and hybrid cloud, which will be evaluated concerning the prospects for developing AI and ML. Moreover, it discusses data management within the cloud, including big data analytics, data lakes, and ETL processes optimized for AI. It is important to stress that this article is an attempt to provide a synoptic view of these intertwined subjects in order to explain the change brought by cloud-driven AI and the impacts it can have on technology and society. These findings provide useful information concerning AI and cloud computing to scholars, professionals, and policymakers who are engaging in this growing, dynamic field.
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