AI Microservices in Enterprise Applications: A Comprehensive Review of Use Cases and Implementation Frameworks

James Mwangi, Wanjiku Njoroge

Abstract


The integration of Artificial Intelligence (AI) into enterprise applications has revolutionized the way businesses operate, offering unprecedented levels of automation, efficiency, and decision-making capabilities. One of the most significant advancements in this domain is the adoption of AI microservices, which allow enterprises to deploy AI functionalities in a modular, scalable, and efficient manner. This research article provides a comprehensive review of the use cases and implementation frameworks of AI microservices in enterprise applications. We explore the architectural paradigms, benefits, challenges, and future directions of AI microservices, supported by three detailed tables that categorize use cases, implementation frameworks, and performance metrics. The article concludes with a discussion on the potential of AI microservices to drive innovation and competitiveness in the enterprise landscape.

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