| Summary: | As a result of the fact that it plays a key part in the provision of remarkable services, artificial intelligence is gaining prominence in the sectors that deal with information technology. Companies are being pushed into a contemporary, resolute, secure, and insight-driven domain as a consequence of the inherent capabilities of artificial intelligence. This is being done in order to tackle currently existing problems as well as those that may arise in the future. The technology of computing in the cloud is one that is rapidly expanding and has the potential to be of enormous benefit to humanity in the future. Receivers have the ability to achieve a higher degree of efficiency if they use distributed machine learning (DML) with these many innovations that are scalable. Receiving, sharing, storing, regulating, and analyzing the data that is produced by a wide range of devices is done in order to automate and enhance the overall performance, scalability, and efficiency of the system. Despite the fact that these emerging technologies have their limits, the integration of these technologies has been faced with difficulty and has resulted in the creation of obstacles in terms of scalability and efficiency. This article examines the Digital Media Library (DML), as well as the challenges and possibilities that communities have when it comes to the adoption of these technologies in terms of scalability and efficiency. Additionally, the challenges and opportunities that communities face are discussed. During the process of integrating DML (Data Manipulation Language) with cloud computing, there are a number of issues that occur in terms of scalability and efficiency. The objective of this study is to suggest different strategies for addressing these challenges. In addition to supplying researchers with approaches that are helpful, the objective of these solutions is to fill in the gaps that are presently present in the field of research.
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