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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Microsoft syntex: Transforming enterprise content management with ai-driven intelligence

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  • Microsoft syntex: Transforming enterprise content management with ai-driven intelligence

Sivaprasad Yerneni Khaga *

Infoway Software, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 2059-2067

Article DOI: 10.30574/wjarr.2025.26.2.1889

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1889

Received on 05 April 2025; revised on 11 May 2025; accepted on 13 May 2025

Microsoft Syntex represents a significant leap forward in enterprise content management, leveraging sophisticated artificial intelligence to transform how organizations process, classify, and extract value from their document repositories. This article explores Syntex's evolution from SharePoint's traditional document management capabilities into a comprehensive AI-powered solution, examining its technical architecture, implementation methodologies, and real-world applications. Through an analysis of its integration with Azure Cognitive Services, custom machine learning capabilities, and workflow automation features, it demonstrates how Syntex addresses long-standing challenges in knowledge management while enabling new possibilities for chatbots and conversational AI. The article provides strategic guidance for technology leaders considering Syntex deployment, contextualizes recent enhancements, including improved OCR capabilities, and offers a forward-looking perspective on how this technology fits within the broader intelligent content services landscape.

Artificial Intelligence; Document Processing; Knowledge Management; Enterprise Content; Cognitive Services

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1889.pdf

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Sivaprasad Yerneni Khaga. Microsoft syntex: Transforming enterprise content management with ai-driven intelligence. World Journal of Advanced Research and Reviews, 2025, 26(2), 2059-2067. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1889

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