As pharmaceutical manufacturing accelerates, the ability to anticipate issues before they occur is becoming a critical differentiator. While many organizations are exploring AI to enhance MES, the real value lies in predictive analytics—using real-time data streams to forecast deviations, optimize batch release, and improve overall yield. This presentation will focus specifically on how predictive AI can transform MES from a compliance-driven tool into a proactive driver of operational excellence. Drawing on industry use cases, we will explore the opportunities and challenges of embedding AI-driven insights into day-to-day manufacturing execution. In this session, you will learn how to:
- Leverage MES data streams to build predictive models that anticipate deviations and quality risks.
- Translate predictive insights into actionable interventions for faster, safer batch release.
- Balance regulatory compliance with AI-driven decision-making to ensure trust, transparency, and adoption.
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