Artificial Intelligence

The volumes of data in production environments are the basis on which digital representations of entire plants and systems are generated. These digital twins have been used for some time to structure the planning and design of products and machinery – and production operations themselves – and do so more flexibly and more efficiently while manufacturing high-quality, customized products faster and at an affordable price. But what would happen if the machines and processes could gather insights from these high volumes of data by themselves and optimize their processes during live operation? The potential would be enormous. The good news is that this can already be achieved, step-by-step, using artificial intelligence (AI).