AI AND CLOUD CONVERGENCE: TRANSFORMING DIAGNOSTICS IN HEALTHCARE AND BFSI

Abstract

Abstract: The convergence of Artificial Intelligence (AI) and cloud computing is reshaping diagnostic systems in both Healthcare and Banking, Financial Services, and Insurance (BFSI). In healthcare, this integration enhances disease detection, medical imaging analysis, and predictive diagnostics. In BFSI, it strengthens fraud detection, credit risk modeling, and real-time anomaly diagnostics. Cloud platforms enable scalable data storage and processing, while AI provides advanced analytics and predictive intelligence. This paper explores architectural frameworks, applications, benefits, challenges, and future directions of AI-cloud convergence in diagnostic transformation. Keywords: Artificial Intelligence, Cloud Computing, AI-Cloud Convergence, Healthcare Diagnostics, BFSI, Medical Imaging, Predictive Analytics, Fraud Detection, Risk Assessment, Machine Learning, Deep Learning, Big Data, Cloud Infrastructure, Digital Transformation, Anomaly Detection, Clinical Decision Support Systems.