The semiconductor industry's shift to Digital Twin-enabled manufacturing relies fundamentally on secure, well-structured data architectures that can seamlessly integrate across complex, multi-stakeholder environments. While Digital Twins promise transformative improvements in manufacturing intelligence, their effectiveness is directly tied to the quality, accessibility, and security of the underlying data infrastructure. The challenge of connecting disparate systems in a secure manner presents a fundamental hurdle.
As Digital Twins become essential for innovation and operational excellence in semiconductor manufacturing, the need for secure, structured, and scalable data platforms has never been more critical. This talk from Athinia ® will explore how the foundation of any effective Digital Twin infrastructure lies in the integrity, accessibility, and security of the underlying data. We will examine the architectural principles and best practices that enable robust data platforms—covering unified data models, real-time ingestion pipelines, semantic interoperability, and advanced analytics. Participants will discover how Athinia's trust layer allows selective information exchange, ensuring that no loss of fidelity, intellectual property, or data ownership occurs.
Attendees will gain actionable guidance on implementing data fabrics and shared ontologies, leveraging commercially available solutions, and architecting for scale in complex high-precision manufacturing contexts. Join Dr. Adam Schafer, CEO of Athinia to understand why secure, structured data is the backbone of Digital Twin success—and how to build the resilient, intelligent infrastructure needed for the next evolution in semiconductor manufacturing.
