Modular AI systems are at home in the fields of Artificial Intelligence, Automation and Digital Transformation. They describe a flexible modular principle for artificial intelligence, where different modules or building blocks can be combined with each other. This allows a company to select exactly the AI functions it really needs – similar to building with Lego.
Instead of using a large, rigid AI solution, the approach is to use smaller, specialised modules. Each of these modules performs a specific task, such as recognising images, processing text or analysing data. If requirements become larger or change, new modules can easily be added or exchanged without having to rebuild the entire system.
A clear example: A factory wants to implement automated quality control. First, it deploys an image analysis module that detects faulty products. Later, it can add another module that predicts machine downtimes based on sensor data. This way, the system grows with the company's needs.
Modular AI systems make artificial intelligence flexible, cost-effective and easier to adapt – important advantages for any digital strategy.
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