Implementing Digital Analytical Methods: Foundation for Laboratory Automation, Frictionless Tech Transfer, and AI-Driven Innovation

Digitizing analytical methods is more than a technical upgrade, it is a foundational step toward fully automated laboratories and AI-enabled decision-making in pharmaceutical and biotech R&D. By moving from manual transcription to standardized, machine-readable methods, organizations unlock new possibilities for greater data integrity, end-to-end workflow orchestration, advanced analytics, and predictive modeling. But achieving this requires more than technology adoption: it demands careful planning, cross-functional alignment, and a clear strategy for regulatory compliance and change management.

This panel will focus on the practical realities of implementation and the long-term opportunities it creates. Discussion topics will include:

• What should be included in a machine-readable digital analytical method (materials, equipment, lab instructions, parameters, calculations, references, etc.)?
• Strategies for integrating machine-readable methods with workflow orchestration, robotics, automated sample handling and instrument data systems.
• Preparing data pipelines to support AI/ML applications such as predictive method optimization, anomaly detection, and autonomous lab orchestration.
• How to pilot and scale digital analytical methods within existing IT and informatics ecosystems.  Where are the opportunities to “rethink” the current methods transfer process?
• Managing organizational change: educating staff, adapting SOPs, and building trust in digital systems.
• Navigating regulatory and data-integrity expectations as methods transition into digital, automated environments.

Attendees will leave with a roadmap for not only implementing digital analytical methods today but also leveraging it as a steppingstone toward the labs of the future, where automation and AI amplify productivity, compliance, and scientific discovery.

This event was originally hosted by the Community for Analytical Measurement Science (CAMS) as part of FutureLab: Chemistry in the Digital Age Online Webinar Week. To learn more about CAMS, visit CAMS-UK.

Thursday, October 16th, 2025

09:00 EDT | 14:00 GMT