The Digital Thread is Now the Data Fabric

But the game has changed. The digital thread conversation is moving from if you should connect your data to how to infuse it with intelligence.

The next evolution isn’t about the thread—it’s about creating an entire data fabric. One that empowers a new generation of AI-driven, high-speed decision-making.

What Does the Ideal Digital Thread Look Like?

Core digital threads typically encompass:

• Systems Engineering: From concept and feasibility through systems definition and verification
• Accelerated Product Development: Ensuring design changes immediately flow to all downstream systems
• Smart Manufacturing: Informing machine calibrations and production processes

When this is done seamlessly, an engineer can make a supplier change and instantly see the impact on:

• performance (through simulation),
• cost through enterprise resource planning (ERP) system,
• and production via a manufacturing execution system (MES).

The interlinking of data between these and other systems is how you achieve efficiency and agility.

The Cost of a Broken Thread

If you fail to manage this complexity and data flow, the cost is immense. It’s not just a slow-down; it’s a loss of revenue and competitive edge. The impact is seen in:

• Lost revenue from downtime: Whether it’s upstream quality issues or a shutdown on the manufacturing floor
• Regulatory non-compliance: The inability to access the genealogy of your parts or demonstrate auditable design control is a major risk in heavily regulated industries like medical devices
• Slowed innovation cycle: If you’re chasing things down on paper and emails, you can’t compete

Weaving the Next Thread: The Need for a Data Fabric

The digital thread solved the “what” (connected data). Powered by AI, your digital thread should now be about solving the “how” (connected intelligence).

The future of manufacturing requires more than connected systems. It requires all inputs and outputs to work from a single pool of data—a data fabric. This fabric eliminates the need for translation between different systems and data lakes. It ensures the data is instantly usable everywhere.

This single, unified data foundation is what activates the next wave of AI functionality:

1. From predictive to prescriptive – Go beyond simple predictive reports (knowing what will happen). Now, we demand prescriptive insights (knowing what we need to do about it).
2. To agentic action: The ultimate goal is agentic automation. This is where AI automatically acts on the data, initiates changes, issues warnings, and optimizes processes without human intervention.

This is where the digital thread must transform into a living, intelligent system.

Adapt and Extend: Unlocking Enterprise-Wide Intelligence

How do you transition from struggling with your digital thread to leveraging a powerful data fabric? The strategy involves two key platforms like Mendix and the broader Siemens Xcelerator portfolio.

1. Adapt Your Core Systems

The first step is to enrich your existing, crucial systems (PLM, MES, ERP) with modern, intelligent experiences.

You can use Mendix to enrich the core systems with these new intelligent experiences. It gives you embedded AI insights and agentic automation into workflows. This gives you smarter, faster decision-making right where the core work is being done.

2. Extend Your Systems

The second step is to democratize the value of your core systems across the entire enterprise.

Use Mendix to unlock the value of core systems for non-core users. You do this by delivering AI-enabled use cases that enable teams and activate enterprise-wide intelligence.

The Power of Connected Intelligence

This entire approach is now amplified by the integration of Rapidminer.

• Rapidminer (Accessible AI): Provides the contextual information and accessible AI layer, allowing you to run powerful analytics and embed intelligence.
• Mendix (Execution Layer): Serves as the execution layer, building the applications and intelligent workflows that adapt and extend the core systems, putting the AI insights into the hands of every user.

Combining the data fabric, Rapidminer, and Mendix gives you what every manufacturer needs: Confidence in decision-making.

This confidence is vital: You want confidence knowing that the data is going to do what it needs to do at every point. You need that confidence to then democratize it to the whole enterprise.

If you’re ready to move past the struggle of a frayed digital thread and build an integrated, AI-powered Data Fabric, the time to adapt and extend your core systems is now.