Industry at the Edge posts

In this post we reveal everything you need to know about Smart Grids, the intelligent electricity distribution networks that efficiently integrate the behavior and actions of all users connected to it.

Today we are talking about the fifth of these revolutions, one more so far in the 21st century. It is Industry 5.0, and it is marked by a return to the value of the human, without losing one iota of all the technology that has been incorporated into our lives, or rather, by the collaboration between these machines-robots-artificial intelligence and people.

Cybersecurity is increasingly becoming a fundamental part of every company's strategy. For industrial companies operating with state-of-the-art technology, security is a key business element as these are infrastructures that can be "critical" in the event of a cyberattack if they do not have a medium-term digital plan. Something that could be solved with cybersecurity systems based on artificial intelligence at the edge.

One of the main applications of artificial intelligence in industrial environments is predictive maintenance. If before there was a human maintenance team, with protocols and routines for 'review and monitoring' (and repair if necessary) of each segment or area of the production chain, AI can do it much more accurately and with fewer resources.

Artificial Intelligence (AI) is the greatest catalyst for technological innovation in history, with countless applications in the energy sector. Key examples are the optimisation of production and storage, smart market trading, consumer savings and efficient consumption models for reducing carbon footprints, among others.

As the market moves from proof of concepts to large multi-application deployments that require scalability, different technological alternatives emerge at the Edge. In this article, we explore the foundation for a successful Edge Computing project.