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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 Pharma Gmbh & Co. KG, 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)
AI Embedded Capabilities in an Enterprise Quality Management System
Michael Pelosi, MA, MBA, MSc
Astellas, United States
Director, Quality Analytics
Augmenting Quality Assurance Activities with AI
Oeystein Kjoersvik, MS, MSc
Merck Sharp & Dohme LLC, Czech Republic
Technology Auditor and Quality Projects Lead
Knowledge Management System using AI Based Recommender Service
Oliver Fink, MS
Boehringer Ingelheim Pharma Gmbh & Co. KG, Germany
Head Learning, Processes and Digitalization
AI Use Cases in Regulatory Monitoring
Haleh Valian, PhD
Biogen, United States
Head of Decision Quality Analytics and Innovation
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