1. What is generative AI used for in pharma?
Generative AI aids in designing drug compounds, streamlining research, and automating documentation in the pharmaceutical industry.
2. Why do most pharma AI projects stay in the pilot phase?
Many projects stall due to poor data quality, weak infrastructure, and a lack of cross-team coordination.
3. How important is data quality for AI in pharmaceuticals?
Clean, well-organized data is crucial for achieving accurate AI model performance and achieving real-world results.
4. What role do regulations play in pharma AI adoption?
Strict compliance rules require AI tools to be explainable, validated, and ethically sound before they are used.
5. Can generative AI improve clinical trials and drug discovery?
Yes, it can accelerate drug target identification and optimize clinical trial design, thereby reducing costs and time.
