The integration of low-code platforms with artificial intelligence (AI), particularly machine learning (ML) models, is transforming engineering processes and bridging the gap between AI experts and engineers. These platforms offer intuitive interfaces that allow engineers without IT backgrounds to easily generate training data and integrate existing AI models into their workflows.
Traditionally, engineering tasks involve manual and time-consuming processes that hinder productivity. Low-code platforms are revolutionising this by enabling experts to create design blueprints without deep programming knowledge. These platforms link development steps, automating the entire component development process.Low-code serves as a standardised "language" for computer-aided engineering (CAE) steps, seamlessly addressing ML models and enabling engineers to create algorithms without specialised programming skills.
In application, low-code combined with AI optimises processes such as automatic wire harness generation and simulation data prediction. It automates tasks, responds to design changes and improves efficiency while reducing errors. In addition, the synergy between low-code and AI streamlines the creation of reports and documentation, which are essential for ensuring component robustness and safety.
In summary, the use of AI through low-code platforms has the potential to revolutionise engineering. By making AI accessible and user-friendly, these technologies improve workflows, enhance product quality and encourage innovation. The integration of low-code and AI not only automates manual processes, but also fosters collaboration between AI experts and engineers, driving progress in the field.
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Would you like to learn more about LowCode and AI? Read the full article in DIGITAL FACTORY JOURNAL (in german) and discover the benefits of this innovative approach.
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