Advancing Lean Chemometrics: Iterative Optimization Technology as a Process Analytical Technology Tool for Reducing Calibration Burden

The challenge of developing and maintaining robust chemometric models for use within Process Analytical Technology (PAT) deployment remains a significant barrier to implementation. This webinar explores how Iterative Optimization Technology (IOT) is advancing the principles of lean chemometrics by reducing the calibration burden associated with PAT deployment. Case studies will demonstrate how these methods enable faster model deployment, improved lifecycle management, and greater operational efficiency without compromising product quality or process understanding. Attendees will gain insights into how innovative chemometric strategies can accelerate PAT adoption while supporting the industry's drive towards agile, data-driven manufacturing.

Thursday, September 10th, 2026, 11:00 AM EDT | 05:00 PM CEST

• You will learn how lean chemometrics reduces model complexity and data requirements
• Discover how to simplify model deployment and lifecycle management
• Explore how to accelerate PAT adoption while maintaining process understanding and quality

• Process development and MSAT teams scaling processes to manufacturing
• PAT scientists and analytical experts developing chemometric models
• Lab managers driving efficient and scalable PAT implementation
• Development and manufacturing and digitalization leaders advancing data-driven operations