Industrial AI in Practice: Siemens Transforms Factory Data into Performance | SPONSORED
At the Siemens Electronics Factory in Erlangen, Artificial Intelligence is not an experiment—it’s part of everyday production. The facility shows how industrial AI can improve how machines sense, analyze, and act, helping teams turn factory data into measurable results. From assembly to inspection, every dataset contributes to higher process quality, shorter cycles, and smarter energy use.
From Connected Data to Smarter Production
Manufacturing data often remains siloed or underutilized. Siemens tackles this challenge with an integrated approach that combines connectivity, Digital Twins, and Industrial Edge computing. These technologies allow AI models to be trained and deployed directly on the shop floor, close to where the data is created.
The result: engineers and operators can develop and adapt AI use cases themselves—without depending entirely on centralized data-science teams. This democratized approach keeps innovation aligned with real production needs while ensuring faster return on investment.
Proven Use Cases from the Erlangen Factory
The Erlangen site demonstrates that industrial AI is most effective when applied to well-defined operational challenges:
- AI-guided robotic picking: Robots trained with AI can now identify and handle parts in random orientations. This eliminates the need for thousands of inlays each year and cuts setup time for new components.
- Precision assembly through tactile feedback: By combining AI with force and momentum sensors, robots gain the dexterity to mount electronic components just a few tenths of a millimeter in diameter—tasks once too delicate or repetitive for manual labor.
- Automated optical inspection: AI-supported quality control systems reduce setup effort by up to 95 percent, using intelligent algorithms that compensate for simpler hardware. Combined with digital twin data, these systems can even train virtually, improving accuracy while reducing cost.
A More Sustainable, Secure Factory Model
AI at the Siemens Electronics Factory Erlangen is part of a larger digital strategy that has already halved the site’s carbon footprint, doubled process quality, and accelerated time-to-market.
Each solution is built on secure data handling and proven cybersecurity frameworks—a critical factor when AI models are trained with sensitive production and product data.
Beyond Automation: Human-Machine Collaboration
AI doesn’t replace people at Erlangen—it augments them. Robots handle repetitive precision work, while employees focus on improvement, maintenance, and innovation. This shift toward human-machine collaboration increases job satisfaction and contributes to higher overall system resilience.
Experience Industrial AI Firsthand
Visitors can see these systems in action at The Impact, Siemens’ Digital Enterprise Experience Center in Erlangen. It sits alongside the production site, giving guests a direct view of how data from live operations drives new insights through digital twins and AI models.
For more details, join Siemens at SPS 2025, from 25 – 27 November at their booth in hall 11 and online for all things Industrial AI, Digital Enterprise, and beyond. Get your free ticket here.
