Digitalizing the Factory with ‘no-code’ AI & MLOps Technology
Most manufacturing companies are embarked in transformation projects to make their businesses more efficient and maintain competitive cost structures. In this journey, the first step is to capture disperse data, often in analogy format, and be able to visualize the different processes. However, the real value comes afterwards, as the captured data is transformed into actionable information that is used to make autonomous decisions. And to reach this point, the technological barriers can be quite high.
In this session we will explore an innovative methodology that lowers the entry barriers for factory engineers and technicians to leverage advanced data analytics and AI, based on a no-code approach. We will do so presenting some examples of solutions we are developing with our customers, including energy savings and automated quality analysis based on deep neural networks.