Intelligent Automation in Financial Services: Integrating Java and AI on the Cloud

Le résumé fourni par la source

The financial services sector is currently experiencing a gigantic disruption, as they are employing intelligent automation in order to gain efficiency in their operations, mitigate errors, and provide a better experience for their customers.This paper presents a holistic, institutional scale deployment model from a design/architecture point of view for intelligent automation in financial operations via Java-based applications utilizing through Cloud Hosting Services (AI) by adopting an array of Artificial Intelligence applications, such as Natural Language Processing, Predictive Analytics, and Machine Learning to automate the complex variety of work that comes with fraud detection, risk management, customer assistance, and transaction approvals.Java is a cross platform, enterprise level platform that allows you to build scalable microservices to consume and orchestrate deployed AI models in near real-time.Cloud Hosting Services (AWS, Azure and GCP) provide the computational scale and flexibility that allows financial services to deploy and manage intelligent automation successfully.The paper outlines the overall systems architecture, design considerations, methods of deployment and related vulnerabilities towards data security/integrity, regulatory compliance and overall system dependability.Deployment of the prototypes indicated the potential for employing intelligent automation into deployed operations across workflows, decisioning and reducing operational capital costs in financial services.

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