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Informative Article | Science and Technology | India | Volume 12 Issue 10, October 2023 | Popularity: 5.2 / 10

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Optimizing Data Management for Generative AI through Advanced Cloud Storage Solutions

Mounika Kothapalli

Abstract: Generative AI has been increasingly growing as it offers various benefits to the way organizations can create high - quality content such as images, text, and audio. However, the vast amount of data generated and consumed by generative AI models poses significant data management challenges. This paper explores how advanced cloud storage solutions can help overcome the challenges of data management with generative AI. Key features such as scalability, flexibility, and security of cloud storage, highlighting auto - scaling capabilities, are discussed. Additionally, advanced data management features, including automated data tiering, lifecycle management, data deduplication, and compression, are examined. The integration of cloud storage with AI tools and services, as well as the implementation of robust security and compliance measures, are analyzed to ensure data protection and regulatory adherence. The discussion of industry case studies demonstrates the practical benefits and performance improvements achieved by leveraging cloud storage. Finally, this paper discusses the emerging technologies such as AI - driven data management, quantum computing, and predictive analytics, and their potential to further transform cloud storage and AI landscapes.

Keywords: Cloud Storage, Generative AI, Auto - Scaling, Data Management, Scalability, Flexibility, Data Security, AI integration, Quantum computing

Edition: Volume 12 Issue 10, October 2023

Pages: 2159 - 2164

DOI: https://www.doi.org/10.21275/SR24627194858

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