AI is revolutionizing life sciences validation, bringing automation, efficiency, and new possibilities. However, with innovation comes challenges, ensuring consistency, meeting evolving regulatory requirements, and adapting workflows for AI-driven processes. In this discussion, Arun and Raji break down the complexities of AI validation, highlighting the key concerns and strategies companies need to stay compliant and competitive.
Key Takeaways
✅ AI models evolve over time, making continuous monitoring essential.
✅ Regulatory frameworks are shifting, requiring proactive compliance strategies.
✅ Traditional validation methods must adapt to real-time AI-driven processes.
✅ Companies must balance innovation with risk management to ensure reliability
