Siloed data slowed research and stalled AI. J&J unified data across R&D, regulatory, commercial, and supply chain into one trusted foundation that speeds discovery and connects the enterprise.
R&D, regulatory affairs, commercial, and supply chain each defined critical data their own way. Cross-functional work stalled reconciling terms, and no team could fully trust the data for analytics or AI. Progress waited on cleanup.
J&J built a governed context layer that harmonizes these assets into one AI-ready model. Data is consistent and trusted across functions, so teams build on it instead of cleaning it, and AI has a foundation it can reason over.