Abstract
The med-tech value chain is being re-shaped by enterprise-grade AI technologies that deliver measurable gains while meeting the bar for safety, quality, and compliance. In this presentation, I'll share how GE HealthCare applies machine learning and GenAI-end to end-to improve manufacturing performance, reduce cost and improve customer service. We'll walk through end-to-end use cases including computer-vision applications to reduce scrap and variation; touchless demand and revenue forecasting that has improved accuracy with corresponding gains in on-time delivery and working-capital reductions; scheduling and logistics optimization; and GenAI-assisted quality applications. Beyond the algorithms, I'll highlight the socio-technical pieces that make these systems stick: robust MLOps, human-in-the-loop workflows, and alignment to regulatory and safety expectations. The session is designed for a diverse audience-researchers, practitioners, and leaders across industries-offering concrete examples of AI applications across the med-tech value chain, with measurable outcomes when scaling AI across the enterprise.