Generative AI in Pharma: What it Takes to Go from Pilot to Impact
Summary
The article discusses the challenges and requirements for scaling generative AI applications in the pharmaceutical industry from pilot projects to impactful, real-world solutions. Key points include the need for robust data infrastructure, cross-functional collaboration, and regulatory compliance. The implications for the AI field highlight the importance of moving beyond experimentation to deliver measurable value and drive innovation in complex, highly regulated sectors.