AI Platform
Powering Smart Manufacturing AX with Real-Time Process Data | Samsung Display
2026.03.11.
In ultra-precision processes like display manufacturing, the smallest variations directly affect product quality and productivity. Massive volumes of data are generated at every stage, and how quickly that data is collected, analyzed, and visualized has become a core driver of competitiveness.
Samsung Display set out to build a data ecosystem that captures subtle process variations in real time and enables researchers to share data and collaborate without physical constraints. The goal went beyond operational efficiency—it was to turn process data into a strategic asset and strengthen technology leadership in the global display market.
The company's existing manufacturing and research environment lacked an integrated platform for analyzing and visualizing process data in real time. Identifying issues during production was difficult, and physical and technical barriers limited data sharing and collaborative analysis between researchers. To address these gaps, Samsung Display adopted Mondrian AI's AI platform Yennefer.
■ A Smart Manufacturing Foundation Built on Real-Time Process Analysis
Process data is generated continuously on the manufacturing floor. In precision-driven industries like display manufacturing, even minor anomalies can lead to quality loss or reduced productivity. Real-time collection and analysis are essential to identify issues quickly.
Yennefer connected the full flow—from data collection through analysis, visualization, and control—as a single pipeline. Data generated at each process stage is analyzed in real time, and floor managers and decision-makers can monitor process status through visualized dashboards.
This gave Samsung Display a foundation for data-driven, precision decision-making—catching subtle process shifts early and strengthening quality stability and productivity.
■ Strengthening R&D Collaboration Through a Virtual Analytics Environment
In manufacturing R&D, researchers analyze different variables and datasets and need to compare results. When data is scattered across departments and environments, sharing results becomes difficult—and technical or communication gaps between researchers can emerge.
Yennefer let researchers access a virtual analytics environment to explore a wide range of variables in depth. It integrated previously fragmented data and created a collaboration environment where different research findings could be shared organically.
As a result, less time went into repetitive data preparation and environment setup—freeing researchers to focus on higher-value work like process optimization and new technology development.
■ A Single Workflow from Data Collection to Field Deployment
In smart manufacturing, analyzing data isn't enough. Results must flow back into the field and feed into new data cycles. When collection, modeling, sharing, and deployment are siloed, workflows fragment and data continuity breaks down.
Yennefer brought the entire process under a single workflow. It cleared bottlenecks on the floor, unified fragmented workflows across departments, and supported a data-driven smart manufacturing framework.
Yennefer's MLOps capabilities also provided a foundation for continuously managing process data analysis and model operations. Research staff moved beyond repetitive data work and redirected their time toward process optimization and new technology development.
Samsung Display's adoption of Yennefer marks a case of advancing data utilization across manufacturing and R&D. Real-time analysis strengthened the stability and reliability of production, while the virtual analytics environment improved collaboration and data sharing across research teams.
This case shows that Yennefer can support both real-time process analysis on the manufacturing floor and R&D collaboration at the same time. Through Yennefer, Mondrian AI helped Samsung Display build a data-driven smart manufacturing framework and continue expanding its AX-powered manufacturing competitiveness.
