Hybrid computing systems in Industry 4.0

Automated Machine Learning (AutoML) has become a trending topic in the industry due to the implementation of numerous algorithms by groups dedicated to academic research on artificial intelligence (AI) in recent years. AutoML is a tool for streamlining the development of AI solutions in the industry by providing explainable and reproducible results in an automatic and simple way.

Until not very long ago, machines were totally dependent on orders from people. They were not autonomous and did not communicate amongst themselves, slowing production and thereby also making them more vulnerable to manual operating errors. Now, in the era of smart & digital factories, MES (manufacturing execution systems) continue to be the backbone that control and oversee everything occurring inside the plant, but they have now moved up a category, revolutionizing management and production.

In an environment where everything is increasingly interconnected and processes are fed from this exchange of data, the orchestration of the systems in a factory is becoming ever more important. This refers to the need to organize, order and coordinate production within the company, a balanced distribution of tasks in which every element must participate and contribute: people, machines and software.