This EXL white paper emphasizes that generative AI holds transformative potential in healthcare, but its success relies on robust data management. It explains that 70% of GenAI development effort lies in data-related activities like ingestion, cleaning, governance, and integration. With most healthcare data being unstructured, organizations must prepare and unlock value from "dark data" like call center audio or CCTV video. Four core competencies—architecture, platform engineering, governance, and DataOps—form the foundation for scalable, responsible AI deployment. Data readiness is key to realizing GenAI’s promise in clinical and operational use cases.

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