This webinar explores how artificial intelligence (AI) is moving from experimentation to operational impact in cell therapy manufacturing, with a focus on machine learning (ML) applications.Through applied case studies, panelists will show how ML can be used in CAR T and iPSC process development to analyse metabolomics and process data, optimise culture conditions, and improve critical quality attributes.The session will also highlight how AI-enabled decision-support tools are being integrated into manufacturing workflows to improve process understanding and decision-making, including early signal detection, anomaly identification, and data interpretation within GMP environments.Attendees will gain insight into practical considerations for implementing AI/ML in cell therapy manufacturing, including regulatory expectations, model trustworthiness, and strategies for integrating AI into existing systems.