Conference
Pharma MES Berlin 2026
1.–2. October 2026 - Berlin, Germany
Pharma MES is Europe’s leading event for Pharma and Biotech manufacturing, bringing together 450+ MES and manufacturing IT experts. Over two days, the event explores how Manufacturing Execution Systems drive efficiency, flexibility, and Pharma 4.0 – through strategy discussions, real-world cases, and expert insights. Join us in Berlin to connect, learn, and shape the future of plant productivity and manufacturing excellence.
Presentation: Less Is More - Rethinking MES Integration with a Unified Namespace
As manufacturing environments expand across sites, equipment, and enterprise systems, traditional point-to-point integration can become difficult to govern, maintain, and scale. This presentation explores how a Unified Namespace (UNS) approach can simplify IT/OT integration by connecting systems to a shared infrastructure rather than creating an increasingly complex web of system-to-system interfaces.
Evolution from dedicated point-to-point interfaces toward standardized, scalable OT communication.
UNS architecture connecting MES, SCADA, PLCs, ERP, LIMS, and other systems through a shared data infrastructure.
Design approaches to support both brownfield environments and new equipment.
Why less can mean more: fewer point-to-point connections, less vendor dependency, and more freedom to evolve your integration stack as your data landscape grows
Speakers:
Giulia Lonzi, Senior Business Consultant, Digital Manufacturing, NNIT
Nick Fenlon, Senior System Architect, Digital Manufacturing, NNIT
Date & Location: Day One 01.10 /14:30 - 15:00 / Saal A
Challenge Your Peers Session: How Can We Use AI to Accelerate MES Modernization Without Compromising Compliance and Control?
Where in an MES migration or upgrade does AI have the greatest potential to reduce manual effort and cycle time?
Which MES activities should we trust AI to perform and where must human review and deterministic controls remain?
What evidence, traceability, and validation are needed before AI-generated outputs can be trusted in a GxP-regulated MES environment?
How do we move from isolated AI experiments to a repeatable, governed approach that can scale across MES migrations, upgrades, and ongoing operations?
Speakers:
Lena Hinløv, Vice President, Digital Manufacturing, NNIT
Jan Lierz, Advanced AI Developer, Digital Advisory & Consulting, NNIT
Date & Location: Day One 1.10 / 16:45 - 17:45 / Saal A
