Implementing OPC UA for industrial IoT data unification
We explore how the OPC UA standard and ISA/IEC 62443 architecture help build a reliable bridge between OT and IT for predictive analytics without security risks.
INSIGHTS & PRACTICE
Circular economy, repair, reuse and traceability, supported by our archive of practical guides to digital processes, documents and monitoring.
9 publications
We explore how the OPC UA standard and ISA/IEC 62443 architecture help build a reliable bridge between OT and IT for predictive analytics without security risks.
Integrating Physical AI into industrial environments requires moving from simple telemetry collection to resilient hybrid architectures, where data normalization and OT security are primary priorities.
A practical guide to scaling the Industrial Internet of Things: edge vs. cloud architecture, secure legacy equipment integration, and OT network protection.
How to combine the flexibility of cloud-based IoT analytics with the strict availability requirements of SCADA systems without risking the shutdown of critical industrial processes.
Integrating Modbus, MQTT, and OPC UA via edge gateways allows legacy equipment to be combined with modern analytical platforms, preserving data context and security.
How to integrate legacy equipment with the cloud, ensure OT network security, and build a robust architecture for industrial data collection and processing.
Balancing deterministic orchestration and probabilistic AI in enterprise systems to avoid technical debt and critical security risks.
How to distinguish simple digitalization from a real need for ECM? An honest filter based on ISO and NIST standards for CIOs, COOs, and legal departments.
Industrial IoT provides production data for analytics and predictive maintenance, but it also exposes OT systems to new risks. A practical approach involves standardizing data exchange via OPC UA, building cybersecurity based on ISA/IEC 62443, and never treating any protocol as a substitute for netw