Integrating Natural Language Processing and Artificial Intelligence in Oracle EBS: A Cognitive Framework for Smart Banking Ecosystem Optimization
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Abstract
Modern banking ecosystems face increasing complexity in managing large volumes of transactional and unstructured data while ensuring operational efficiency and regulatory compliance. This study presents a cognitive framework that integrates Natural Language Processing (NLP) and Artificial Intelligence (AI) within Oracle E-Business Suite (EBS) to optimize banking operations. The proposed framework leverages AI-driven analytics and NLP techniques to automate data extraction, interpret customer communications, and enhance decision-making processes. By adopting a cloud-native deployment strategy, the system ensures scalability, flexibility, and seamless interoperability with existing banking infrastructure. Experimental results indicate substantial improvements in processing speed, accuracy of financial insights, and customer engagement. This framework provides a robust foundation for intelligent banking operations, enabling institutions to transform data into actionable intelligence effectively.
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