Adding artificial intelligence (AI) to legacy pharma supply chain systems requires auditable human intelligence to fix data and trust gaps.
Key Takeaways Identify the risks of layering AI onto legacy supply chain systems, including data fragmentation, hallucinations, and limited auditability in GxP environments. Describe how end-to-end contextualization of internal and syndicated data supports real-time decisions across the pharmaceutical cold chain. Detail the progression of AI automation and the role of human oversight in building trust in AI-driven decisions.
Key Takeaways
Identify the risks of layering AI onto legacy supply chain systems, including data fragmentation, hallucinations, and limited auditability in GxP environments. Describe how end-to-end contextualization of internal and syndicated data supports real-time decisions across the pharmaceutical cold chain. Detail the progression of AI automation and the role of human oversight in building trust in AI-driven decisions.
