Industry at the Edge posts

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.

A new concept resonates in recent times among analysts and professionals in the energy sector: the Internet of Energy. It is a trend that has arisen from the urgency caused by the accumulation of events affecting a sector that is more in crisis than ever. Factors such as climate change, international conflicts, the supply crisis, escalating prices and new regulatory requirements have put the sector in the spotlight.

The true potential of Industrial IoT can only be achieved through the introduction of Artificial Intelligence. In this article we will go beyond IoT and will focus on Data Analytics and Data exploitation because for us IoT without Big Data is nothing.