Cyber security or how to manage vulnerabilities in industrial environments

Incorporating intelligence into factories is necessary in order for any industrial plant to compete in the 4.0 ecosystem, increase productivity and offer a personalized product and/or service, but this implies dealing with new vulnerabilities and, consequently, new security threats because machines, processes and information systems have to be in open networks, connected to the Internet, which increases exposure to cyberattacks.

Automated Machine Learning (AutoML) for Sheet Metal

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.

Journeying to the Cloud to reduce the digital divide in the industrial sector following the pandemic

Covid-19 has highlighted that, without the digitization of processes, it’s difficult to maintain business continuity, that supply chains are fragile and information is unreliable, exposing a digital divide between more or less digitized companies. Those who fail to cover this gap fall by the wayside, which means that accelerating transformative processes planned in the medium and long term is essential in order to adapt to this new disruptive reality, where everything happens at breakneck speed.