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Revolutionizing Quality Management: Harnessing the Power of AI for Enhanced Decision Making and Continuous Improvement
Session Chair(s)
Oliver Fink, MS
Head Learning, Processes and Digitalization, Boehringer Ingelheim, Germany
This session explores four use cases of AI's potential to revolutionize quality management (QM) decision making and enhance organizational processes. Discover how AI is being implemented within QM and AI's role in identifying trends and driving improvement initiatives.
Learning Objective : Describe the role of AI for quality management (QM) decision making, with a focus on advanced data analysis and pattern recognition, quality risk management, inspection readiness and drive continuous improvement initiatives; Identify practical use cases of AI in enterprise QMS, metadata extraction, risk assessment, and knowledge management systems, showcasing the benefits of AI integration.
Speaker(s)
Michael Pelosi, MA, MBA
Lead, Quality Assurance, Analytics, Astellas, United States
AI Embedded Capabilities in an Enterprise Quality Management System
Oeystein Kjoersvik, MS, MSC
Technology Auditor and Quality Projects Lead, Merck Sharp & Dohme LLC, Czech Republic
Augmenting Quality Assurance Activities with AI
Oliver Fink, MS
Head Learning, Processes and Digitalization, Boehringer Ingelheim, Germany
Knowledge Management System using AI Based Recommender Service
Haleh Valian, PHD
Head of Portfolio Data and digial Innovation, Biogen, United States
AI Use Cases in Regulatory Monitoring
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