Summary
To drive innovation and efficiency, a leading multinational pharmaceutical and biotechnology firm implemented a unified AI/ML platform to break down data silos and unite analysts, scientists, and business users. The platform pairs governed, self-service data access; end-to-end model lineage; and flexible workbenches with interactive dashboards. This case study details how the platform — reinforced by federated data stewardship, strategic tech partnerships, and an aggressive enablement program — converted scattered assets into an engine for compliant AI deployment, faster experimentation, and measurable gains across R&D, manufacturing, and commercial operations.
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