Senior Assistant Vice President and Senior Data Engineer, NC, USA.
Received on 14 August 2023; revised on 18 October 2023; accepted on 29 October 2023
Background: Modern enterprises increasingly rely on intelligent process automation (IPA) to improve operational efficiency, yet integrating cognitive AI capabilities into existing systems remains challenging.
Aim: This study proposes a unified cognitive architecture that leverages Azure AI Services to enhance automation, reasoning, and decision-making in enterprise applications.
Method: A layered architecture is designed using Azure Cognitive Services, Azure OpenAI, Azure Machine Learning, and Azure Logic Apps, evaluated through workflow simulations.
Results: The architecture demonstrates improved accuracy in document processing, faster process orchestration, and enhanced predictive capabilities across enterprise workflows.
Conclusion: The proposed cognitive architecture provides a scalable, modular, and intelligent automation framework that strengthens enterprise digital transformation using Azure’s cloud-native AI ecosystem.
Intelligent Process Automation; Cognitive Architecture; Azure AI Services; Enterprise Applications; Workflow Automation; Machine Learning; Cloud Computing
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Ramadevi Nunna. A Cognitive Architecture for Intelligent Process Automation in Enterprise Applications Using Azure AI Services. World Journal of Advanced Engineering Technology and Sciences, 2023, 10(01), 318-327. Article DOI: https://doi.org/10.30574/wjaets.2023.10.1.0274