A Scalable Cloud-Enabled SAP-Centric AI/ML Framework for Healthcare Powered by NLP Processing and BERT-Driven Insights
DOI:
https://doi.org/10.15680/IJCTECE.2025.0805021Keywords:
SAP BTP, Artificial Intelligence, Machine Learning, Cloud Integration, Natural Language Processing, Cross-Industry AnalyticsAbstract
This paper presents a scalable SAP-centric Artificial Intelligence (AI) and Machine Learning (ML) platform designed to unify analytics across healthcare, finance, and agriculture. The proposed framework integrates SAP Business Technology Platform (SAP BTP), SAP HANA, and cloud-native services to deliver secure, real-time, and domain-adaptable intelligence. In healthcare, the platform leverages Natural Language Processing (NLP) pipelines for clinical text mining, early disease detection, medical named-entity recognition, and patient risk stratification. In finance, advanced ML-based risk modeling, credit scoring, fraud detection, and anomaly analysis are deployed using SAP HANA's in-memory computation for high-speed decision support. In agriculture, computer vision models are implemented for plant disease detection—specifically cotton leaf disease classification—enabling early diagnosis and precision farming interventions. End-to-end security is enforced through SAP Identity Authentication Services, governance controls, role-based access, and encrypted cloud operations. The platform demonstrates cross-industry scalability, modular integration, and reliable performance, making it a viable solution for intelligent enterprise transformation across critical sectors.
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