Siemens Expands Industrial Copilot to Empower Manufacturing with Generative AI | SPONSORED
In an era of heightened competitive pressure and skilled labor shortages, the manufacturing industry faces immense challenges in productivity and efficiency. Siemens is at the forefront of addressing these challenges by introducing powerful, generative AI-driven solutions with its Industrial Copilot. At SPS 2024, Siemens unveiled new functionalities for the Industrial Copilot and announced a significant adoption by thyssenkrupp Automation Engineering, marking a pivotal moment for automation engineering and shopfloor operations.
Revolutionizing Engineering with Generative AI
The Siemens Industrial Copilot is the first generative AI-powered assistant designed explicitly for industrial environments. Unlike traditional tools, this copilot goes beyond automation to actively support engineers in code creation, configuration, and process optimization. By integrating natural language processing and machine learning, Siemens enables engineers to leverage AI without specialized expertise, significantly speeding up project timelines and reducing repetitive tasks.
As Rainer Brehm, CEO of Factory Automation at Siemens, emphasized, “The Siemens Industrial Copilot is a supercharger for industrial automation, accelerating innovation, productivity, and competitiveness.” The copilot’s capabilities align with Gartner’s projections that, by 2028, 75% of developers will regularly use AI to assist with code creation.
Practical Applications at Thyssenkrupp and Siemens Electronics Factory
Thyssenkrupp Automation Engineering has integrated the Industrial Copilot for Engineering to enhance the efficiency of machines used in electric vehicle battery quality inspections. This AI assistant generates structured control language (SCL) code for programmable logic controllers, automatically integrates it within the TIA Portal, and generates machine visualizations. The result is a faster, more intuitive design and engineering process, which reduces time-to-market and minimizes operational errors.
Simultaneously, Siemens Electronics Factory in Erlangen implemented the copilot across its soldering machines. The Industrial Copilot supports operators by translating machine error codes into natural language and suggesting solutions based on operational history and technical documentation. This feature dramatically cuts machine downtime, helping operators resolve issues quickly and reducing production bottlenecks.
Future of Industrial Copilot: Multimodal and Agent-Based Capabilities
Siemens plans to elevate the Industrial Copilot by incorporating multimodal capabilities and agent-based automation. The multimodal function will enable the copilot to process and analyze images, further enhancing productivity in maintenance and inspection tasks. The agent-based approach will autonomously manage complex tasks by breaking them down into actionable subtasks, offering real-time insights, and automating decision-making on the shop floor.
Embracing Data Sovereignty with On-Premises Solutions
To ensure data security, Siemens offers an on-premises configuration for the Industrial Copilot, utilizing the Simatic Industrial PC (IPC 1047E) powered by NVIDIA AI Enterprise software. This approach allows data processing directly on the shop floor, eliminating the need for an internet connection and ensuring that sensitive data remains within the facility. This on-premises setup meets stringent data sovereignty requirements, providing peace of mind for customers in regulated industries.
A New Era for AI in Industrial Automation
With these advancements, Siemens solidifies its leadership in industrial automation by delivering an AI-driven copilot that combines scalability, data security, and unmatched usability. The Industrial Copilot offers manufacturing leaders a strategic advantage: faster engineering, streamlined operations, and reduced downtime. As industries increasingly adopt generative AI, Siemens’ commitment to innovation ensures that manufacturing remains competitive, efficient, and future-ready.
Sponsored by Siemens
Related Articles:
- Generative AI: Bridging the Knowledge Gap for Manufacturing Personnel
- Three Essential Uses of Generative AI in Manufacturing
The hero banner image used in this article was provided by Siemens and is used with their permission. Source: Siemens.
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