Code-driven Cognitive Enhancement: Customization and Extension of Azure Cognitive Services in .NET

Authors

  • Rajashree Manjulalayam Rajendran Lead Software Developer, HomeASAP LLC, USA Author

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DOI:

https://doi.org/10.55662/JST.2023.4604

Keywords:

Code-driven Enhancement, Cognitive Services, Azure, .NET Framework, Artificial Intelligence, Customization, Extension, Application Development, Cloud Computing, Versatility, Integration, Adaptability

Abstract

In the rapidly evolving landscape of artificial intelligence and cloud computing, this research paper delves into the intricacies of code-driven cognitive enhancement through the customization and extension of Azure Cognitive Services using the .NET framework. As organizations increasingly rely on AI solutions to augment their applications, the ability to tailor cognitive services to specific needs becomes paramount. This study explores the methods and techniques employed in adapting and extending Azure Cognitive Services, with a primary focus on the versatility offered by the .NET ecosystem. By elucidating practical approaches and best practices, the paper aims to empower developers and organizations to harness the full potential of Azure Cognitive Services within the .NET ecosystem, fostering innovation and intelligence-driven solutions in the digital era.

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Published

28-12-2023

How to Cite

“Code-Driven Cognitive Enhancement: Customization and Extension of Azure Cognitive Services in .NET”. Journal of Science & Technology, vol. 4, no. 6, Dec. 2023, pp. 45-54, https://doi.org/10.55662/JST.2023.4604.

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