Successful industrial environments leverage AI and Large Language Models (LLMs) to enhance decision-making, predictive analytics, and automation while maintaining openness and interoperability with existing OT and IT systems.
Integrating AI and LLMs into the shopfloor enables manufacturers to unlock advanced insights, streamline operations, and enhance human-machine collaboration, all within a secure, scalable, and vendor-neutral architecture.
Industrial Edge acts as the secure gateway for data acquisition and pre-processing at the field level, connecting vendor-agnostic automation equipment via MQTT, OPC UA, and REST APIs.
Data is then aggregated into WinCC OA, which provides event management, database integration, and SCADA functionalities at the factory level.
From there, enterprise applications and cloud-based LLM platforms—such as OpenAI, AWS Bedrock, Claude, and Gemini—are seamlessly integrated through the WinCC OA MCP Server, enabling AI-driven insights and automation.
Unlock advanced analytics and predictive decision-making through LLM integration.
Supports multiple LLM providers and enterprise applications without vendor lock-in.
Industrial Edge ensures secure connectivity and scalable architecture for future AI adoption.
Natural language interfaces simplify complex operations and troubleshooting.
From shop floor to cloud AI services, ensuring data consistency and governance.
• Secure data acquisition and pre-processing
• Vendor-agnostic connectivity (e.g. MQTT, OPC UA, REST API)
• Scalable edge computing for AI readiness
• Centralized event management and SCADA
• Database integration for structured data
• MCP Server for seamless cloud and enterprise connectivity
• Natural language interaction with shop floor data
• Insight generation and predictive analytics
• Controlled execution of operational commands