Reimagining pharma manufacturing through digital twins and predictive intelligence
AI-summarised brief · reviewed before publication
The pharmaceutical industry is facing significant challenges in maintaining precision and consistency in manufacturing processes, particularly with the growing global demand for generic medicines. India, referred to as the "pharmacy of the world," produces over 20% of the world's generic medicines, making quality and operational efficiency lapses a major concern. To address these challenges, the industry is turning to digital adoption, including AI, IoT, and robotics, to improve efficiency and compliance. However, the lack of integrated digital infrastructure and unified data environments remains a significant barrier to the use of advanced analytics and simulation models. AI Centres of Excellence are emerging as a critical solution to drive scalable AI adoption and governance in the industry.
💡 Why It Matters
- · The failure to modernize and adopt digital manufacturing frameworks could lead to catastrophic consequences, including significant regulatory compliance issues, financial losses, and damage to global trust in the pharmaceutical industry.