AI-Augmented Master Data Governance in Healthcare: Smarter Stewardship with SAP S/4HANA

Healthcare enterprises operate in one of the most data-intensive and regulated industries, where the accuracy of product, patient, and supplier data directly impacts compliance, patient safety, and speed to market. Yet, master data is often riddled with duplicates, inconsistencies, and regulatory gaps.

This session demonstrates how AI-powered Master Data Governance (MDG), integrated with SAP S/4HANA, can transform enterprise data stewardship. We will explore how machine learning and natural language processing can automatically validate master data quality, detect duplicates, and proactively surface inconsistencies in critical product datasets. By embedding predictive data scoring and intelligent anomaly detection, the framework reduces manual intervention, accelerates new product introductions, and ensures adherence to FDA and EMA requirements.

Drawing on real-world healthcare enterprise deployments, we highlight measurable outcomes—reduced remediation efforts, improved compliance, and faster time-to-market for regulated products. Attendees will leave with actionable strategies for:

Embedding AI into MDG workflows for proactive governance.

Prioritizing high-risk anomalies with intelligent recommendations.

Designing enterprise-grade data stewardship systems that are not just compliant, but business-ready and innovation-ready.