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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Revolutionizing Data Storage with Artificial Intelligence and Machine Learning for Cloud-Agnostic Operational Datastores
Authors Name: Rajesh Reddy Devireddy
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IJRTI_204399
Published Paper Id: IJRTI2505334
Published In: Volume 10 Issue 5, May-2025
DOI: https://doi.org/10.56975/ijrti.v10i5.204399
Abstract: AI and ML technologies enhance the operational efficiency and platform capacity which in turn leads to agility of the data management techniques implemented on various cloud platforms. These enhance the operational performance by automating routine data management tasks and come equipped with features such as pattern prediction and resource allocation. As will be shown in this research, AL and ML enhance proactive scaling and data security in their essence. It has been found out that all the cloud-agnostic systems rely on AI and ML for their data storage solutions across the development process. The future topic of research in cloud solutions is to develop more of the automated methods while at the same time enhancing interactions with other platforms.
Keywords: Cloud-Agnostic, Artificial Intelligence, Machine Learning, Operational Data Stores, Data Management, Scalability, Performance, Resource Allocation, Flexibility, Automation
Cite Article: "Revolutionizing Data Storage with Artificial Intelligence and Machine Learning for Cloud-Agnostic Operational Datastores", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.d244-d248, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505334.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2505334
Registration ID:204399
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i5.204399
Page No: d244-d248
Country: -, -, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505334
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505334
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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