The Role of Deep Learning in Cloud Computing for Automated Process Optimization and Intelligent Systems

Harshith Kumar Surya

Authors

Harshith Kumar Surya Cloud Engineer & Researcher, India Author

Keywords:

Deep Learning, Cloud Computing, Automated Process Optimization, Intelligent Systems, Data Privacy, Resource Allocation

Abstract

The integration of deep learning (DL) with cloud computing has transformed the landscape of automated process optimization and the development of intelligent systems, offering unprecedented capabilities for scalability, adaptability, and efficiency. This research paper examines the synergistic role of DL in cloud environments, focusing on its application in optimizing cloud operations and enhancing intelligent systems. By leveraging data from existing studies and real-world implementations, the study reveals that cloud-based DL frameworks not only reduce operational costs but also significantly improve processing speeds and decision accuracy in complex computational tasks. Key challenges, including data privacy and resource allocation, are also discussed. The paper concludes with future research directions to further harness DL’s potential in cloud platforms.

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